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The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Open accessAbstract
Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation. Current approaches for certification, fleet management and sustainment are largely based on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions and will likely be unable to address these extreme requirements. To address the shortcomings of conventional approaches, a fundamental paradigm shift is needed. This paradigm shift, the Digital Twin, integrates ultra-high fidelity simulation with the vehicle s on-board integrated vehicle health management system, maintenance history and all available historical and fleet data to mirror the life of its flying twin and enable unprecedented levels of safety and reliability.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
The paper proposes the Digital Twin paradigm—an integrated multiphysics, multiscale, probabilistic simulation of an as-built vehicle using best physical models, sensor updates, fleet history, and IVHM data—to mirror the life of its flying twin and improve certification, fleet management, and sustainment. It argues conventional factor-of-safety, similitude, and inspection approaches are inadequate for future NASA and U.S. Air Force vehicles with lighter mass, higher loads, and longer extreme service.
Key findings
- Conventional certification and sustainment rely on factors-of-safety, similitude, worst-case scenarios, and fleet leaders; factors can be as large as 2.0 depending on material and configuration, a service life factor of 4.0 is applied to well-characterized spaceflight structures, and known flaws must show a safety factor of 1.5 against fracture.
- The Digital Twin integrates ultra-high fidelity physical models, on-board IVHM sensor data, maintenance history, and historical/fleet data via data mining and text mining; it continuously forecasts vehicle health, remaining useful life, and probability of mission success, and can recommend mission profile changes or activate self-healing mechanisms.
- Near-term opportunities include the AFRL Digital Twin: Spiral 1 using the F-15 as a testbed, and a NASA approach focused on a small highly critical non-redundant component such as a MEMS.
- Expected advantages include decreased system weight by reducing reliance on statistical distributions, heuristic design philosophies, physical testing, and assumed similitude, plus increased reliability through continuous monitoring and mitigation of degradation and anomalous events.
Methods
- Conceptual/vision paper, not an experimental study; it presents the Digital Twin paradigm and requirements, with examples drawn from NASA standards and handbooks including NASA-STD-5001A, NASA-STD-5019, and NASA-HDBK-5010.
- No sample, dataset, or statistical analysis is reported; the paper discusses conventional approaches, Digital Twin attributes, near-term opportunities, advantages, and influence on national goals.
- Illustrative figures and tables are used to motivate the paradigm, such as an STS payload launch/landing spectrum and upper-bound fatigue crack growth rate curves estimated as three standard deviations above mean values.
Limitations
- The paper states the Digital Twin is an ambitious concept “unlikely to attain maturity for many decades,” so a series of intermediate steps is required.
- The paper states future vehicles may encounter conditions that cannot be foreseen, and long-duration space missions may make conventional inspection and maintenance impossible.
- Evident from the text: no quantitative validation, implementation results, or performance metrics for a Digital Twin are reported; the work is a concept and roadmap paper.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“When similitude is violated, probabilistic methods break down as readily as those based on factors-of-safety.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Introduction
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Current approaches for certification, fleet management and sustainment are largely based on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions and will likely be unable to address these extreme requirements.”
- Also stated in: § Introduction · plain
“Existing methodologies for vehicle certification, fleet management and sustainment are largely based on similitude and a heuristic understanding of the effects of operational and anomalous conditions on the structural health, safety and performance of a vehicle.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclear- Also stated in: § Introduction · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such codes are of limited”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > American Institute of Aeronautics and Astronautics
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Current approaches for certification, fleet management and sustainment are largely based on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions and will likely be unable to address these extreme requirements.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Abstract
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Even current probabilistic or reliability methodologies are inadequate because they are based on assumed similitude between the circumstances in which the underlying statistics were obtained and the environment in which the vehicle operates.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Introduction
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“As discussed in the standard, the accepted practice for”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Conventional Approaches
What the sources say
- Not matchedcites NASA-STD-5001A
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, they may not be sufficient to address the future extreme requirements of some future NASA and U.S. Air Force vehicles.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes? Checkable: unclear✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 15
- Probably not a substantial claim. 39
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, compounding of factors-of-safety is pervasive and may lead to unnecessarily heavy structures and reduced performance without necessarily improving the actual safety of the vehicle or the probability of mission success.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Introduction
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Inspection schedules are typically determined from experience with similar vehicles that have performed similar missions.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > American Institute of Aeronautics and Astronautics
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Often, inspection is performed based on experience with the fleet leader, the vehicle in the fleet that experienced the most flights or the worst degradation.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > American Institute of Aeronautics and Astronautics
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the ability to fully understand degradation and anomalous events and foresee previously unknown unknowns may represent the difference between mission success and mission failure.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > American Institute of Aeronautics and Astronautics
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“If, for example, unacceptable degradation of a component was found during an inspection of the fleet leader, it may be decided that all vehicles of that class be inspected immediately regardless of the specific history of each vehicle.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > American Institute of Aeronautics and Astronautics
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“An extreme case of codified conservatism is discussed in NASA-HDBK-5010 10 , where separate conservatisms for crack size, applied loads, material properties, and analysis are discussed for”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-HDBK-5010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It will also decrease system weight by reducing reliance on statistical distributions of material properties, heuristic design philosophies, physical testing and assumed similitude between testing and operational conditions.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Advantages Over Conventional Approaches
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“According to NASA-STD-5001A 1 , a service life factor of 4.0 is applied to”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-STD-5001A
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“Known cracks in fracture critical hardware require special treatment wherein upper bounds for crack size estimate accounting for”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-HDBK-5010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
In the paper
“Finally, analyses of known flaws must show that the component has a service life factor of four and a safety factor of 1.5 against fracture.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-HDBK-5010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“Among these steps is the Air Force Research Laboratory (AFRL) Digital Twin: Spiral 1 17 , a plan to integrate existing state-of-the-art technologies, benchmark current capabilities and identify gaps using components from an existing U.S. Air Force vehicle, specifically, the F-15, as a testbed.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Identification of Near-Term Opportunities
What the sources say
- Not matchedcites [17]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Complex missions, particularly those where external support is difficult or impossible, will necessitate complete real-time management of complex materials, structures and systems that will ultimately lead to”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Concept
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
- Rests on an assumption: The consequences of failure during a long-duration space mission, where the vehicle is far from home, will almost certainly be catastrophic.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By combining all of this information, the Digital Twin continuously forecasts the health of the vehicle or system, the remaining useful life and the probability of mission success.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Concept
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Unlike those individual visions, the vision for the Digital Twin integrates the broad range of technologies with a singular focus.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Identification of Near-Term Opportunities
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In all of these cases,”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Conventional Approaches
What the sources say
- Not matchedcites NASA-STD-5001A
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“If various best-physics (i.e., the most accurate, physically realistic and robust) models can be integrated with one another and with on-board sensor suites, they will form a basis for certification of vehicles by simulation and for real-time, continuous, health management of those vehicles during their missions.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Concept
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As a result, demands on structural materials will be greatly increased and structural margins will necessarily be decreased.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Concept
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
- Rests on an assumption: Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As a virtual instantiation of a flying vehicle, the Digital Twin is expected to be able to experience every event that its flying twin experiences.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Advantages Over Conventional Approaches
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“Because the vehicles needed for future extreme missions are unlikely to be developed using existing material forms, the design and development of new enabling (e.g., multifunctional, nanostructured, ultra-durable) materials is required and is well aligned with the NRC's ICME roadmap.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Influence on National Goals
What the sources say
- Not matchedcites [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“The application of continuum fracture mechanics analyses, including NASGRO fatigue crack growth analysis (see JSC 22267B 6 ), is the foundation of much of the codified fracture control methodology.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites JSC 22267B
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
In the paper
“The ability to assess the evolution of defects is a critical element within the Digital Twin's on-board IVHM system and is well aligned with the NRC's advocacy for developments in Materials State Awareness.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Influence on National Goals
What the sources say
- Not matchedcites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Not matched
In the paper
“The latter approach requires a factor-of-safety for yield that is higher than the factor-of-safety used for prototype testing.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Conventional Approaches
What the sources say
- Not matchedcites NASA-STD-5001A
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The Digital Twin can also predict system response to safety critical events and uncover previously unknown issues before they become critical by comparing predicted and actual responses.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Concept
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Because of its ability to mirror the life of a specific vehicle in an as-built state, the Digital Twin will necessarily revolutionize certification, fleet management and sustainment.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Advantages Over Conventional Approaches
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“Fracture critical hardware requires the additional imposition of damage tolerance requirements (see, for example, NASA-STD-5019 2 ).”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-STD-5019
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, such an ambitious concept is unlikely to attain maturity for many decades, so a series of intermediate steps is required.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Identification of Near-Term Opportunities
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds. It may state two separate claims as one.
- Rests on an assumption: The Digital Twin concept is unlikely to attain maturity for many decades.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the extensive legacy of historical flight information incorporated in the various standards and handbooks that were based on decades of aircraft and spacecraft design experience, will likely be insufficient to either certify future extreme vehicles or to guarantee mission success.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Concept
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes? Checkable: unclear✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Future generations of vehicles will rely on increasingly complex, heterogeneous and multifunctional material forms with increasingly complex failure modes.
In the paper
“These factors vary widely depending on circumstance and can be as large as 2.0 depending on the material and local structural configuration.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-STD-5001A
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
In the paper
“Additionally, worst-case limit loads for the mission must be used to compute the far field stress state at the location of the detected crack.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-HDBK-5010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, an understanding of the exact state of the structure of the vehicle or its systems, including the existence of defects at the microstructural and, possibly, the atomistic scale, is required as a baseline for ultra-high fidelity simulations.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Influence on National Goals
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, it will enable mission managers to make knowledgeable decisions regarding the consequences of possible in-flight changes to a vehicle's mission.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Advantages Over Conventional Approaches
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Once the vehicle is launched, the Digital Twin will increase the reliability of the flying vehicle because of its ability to continuously monitor and mitigate degradation and anomalous events.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Advantages Over Conventional Approaches
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“Because of the apparent scatter in material response under cyclic and creep loading, the corresponding factors are even larger.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-STD-5001A
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Many of the technologies critical for the Digital Twin are currently being developed under related visions for multi-scale and multi-physics modeling, structural health management, highperformance computing and others.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Identification of Near-Term Opportunities
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, the systems on board the Digital Twin are capable of mitigating damage or degradation by activating self-healing mechanisms or by recommending changes in mission profile to decrease loadings thereby increasing both the life span and the probability of mission success.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Concept
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, they tend to be reactive rather than proactive and are often based on heuristic experience, worst-case scenarios and fleet leaders rather than on the specific material, structural configuration and usage of an individual vehicle.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The handbook requires analysts to use material properties corresponding to the lower bound of fracture toughness and the upper bound of fatigue crack growth rate (da/dN vs. ΔK) as shown in Figure 2.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-HDBK-5010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
In the paper
“Upper bounds of fatigue crack growth rate curves are either visually estimated or statistically estimated as being three standard deviations above the mean values.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-HDBK-5010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By replacing conventional engineering practices with an understanding of the degradation of an individual vehicle or vehicle system, the paradigm of the Digital Twin will impact the way that physical items ranging from micro-devices to civil infrastructure are developed, certified and maintained.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Influence on National Goals
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
None of the sources cited for this claim could be matched to a paper in Crossref, so there is nothing to check it against.
In the paper
“In addition to its prominence in the recently-published roadmaps of NASA's Office of Chief Technologist (OCT) [15][16] and plans of the Air Force Research Laboratory [17][18] , the Digital Twin paradigm can provide focus to the recent advocacy of the National Science Foundation (NSF) and the National Research Council (NRC) in the areas of Simulation Based Engineering Science (SBES) 19 , Integrated”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Influence on National Goals
What the sources say
- Not matchedcites [19]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites [20]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites [21]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“By exercising such ultra-high fidelity approaches on flight hardware, the shortcomings of the existing state-of-the-art in multiscale modeling, in-situ experimentation and material state awareness will be highlighted.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Identification of Near-Term Opportunities
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“Here, the crack size assumed for analysis (2c A ) is a combination of the NDE-detected crack dimensions (2c D ) and an adjustment based on the NDE detection capability (2c N ).”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Table 1: Sample of Publicly Available Standards and Handbooks
What the sources say
- Not matchedcites NASA-HDBK-5010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Potential spin-offs from the development of the Digital Twin span the breadth of the Nation's industrial and manufacturing sectors, infrastructure and development of nanotechnology.”
§ The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles > Influence on National Goals
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
The paper relies on this without support.
Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation.
“Future generations of NASA and U.S. Air Force vehicles will require lighter mass while being subjected to higher loads and more extreme service conditions over longer time periods than the present generation.”
The paper relies on this without support.
Future vehicles will have little direct precedent to follow, and in some cases (e.g., long duration space missions) the vehicle may be impossible to inspect and maintain in the conventional sense.
“Unlike the methods used to insure safety and reliability of existing vehicles that have a clear and wellunderstood legacy, many future vehicles will have little direct precedent to follow, and in some cases (e.g., long duration space missions) the vehicle may be impossible to inspect and maintain in the conventional sense.”
The paper relies on this without support.
Future generations of vehicles will rely on increasingly complex, heterogeneous and multifunctional material forms with increasingly complex failure modes.
“Future generations of vehicles will rely on increasingly complex, heterogeneous and multifunctional material forms with increasingly complex failure modes.”
The paper relies on this without support.
The extensive physical testing that provided the confidence needed to assure the success of previous missions has become increasingly expensive to perform.
“Additionally, the extensive physical testing that provided the confidence needed to assure the success of previous missions has become increasingly expensive to perform.”
The paper relies on this without support.
The consequences of failure during a long-duration space mission, where the vehicle is far from home, will almost certainly be catastrophic.
“Moreover, the consequences of failure during a long-duration space mission, where the vehicle is far from home, will almost certainly be catastrophic.”
The paper relies on this without support.
The Digital Twin concept is unlikely to attain maturity for many decades.
“However, such an ambitious concept is unlikely to attain maturity for many decades, so a series of intermediate steps is required.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Consequently, DT consists of three parts, which include the physical product, virtual product, and the communication platform between them (Glaessgen & Stargel 2012).”
From A review of digital twin applications in construction (2022) · cites this paper as Glaessgen & Stargel 2012
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“This makes these methods more reactive than proactive [31].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [31]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Handbook 5010 is identified as both HDBK and STD
MinorThe text cites document 5010 as NASA-HDBK-5010, but reference 10 identifies it as NASA-STD-5010.
“An extreme case of codified conservatism is discussed in NASA-HDBK-5010 10”
“10. Anon., "Fracture Control Implementation Handbook for Payloads, Experiments, and Similar Hardware," NASA-STD-5010, May 2005.”
Citations
Cites
Reengineering aircraft structural life prediction using a digital twin
Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119
Flagged first, then by citations
Research works printed but not linked: 9
- Anon, 2008, NASA-STD-5019
- Anon, 2008, NASA-STD-6016
- Anon, 2001, Version 3, 0, 22267B
- Anon, Fracture Control Implementation Handbook for Payloads, Experiments, and Similar Hardware,"NASA-STD-5010,May2005
- Anon, 2004, Rules for Construction of Pressure Vessels
- Kobryn P.A., 2011, USAF Air Force Research Laboratory, 88ABW-, 01428
- Anon, 2006, Simulation-Based Engineering Science: Revolutionizing Engineering Science through Simulation
- Anon, 2008, National Research Council, ISBN, 0, 12000
- Anon, 2008, National Research Council,ISBN, 0, 12166
Cited by
Sorted by citations
Items 401–500 of 2,402
Review of Digital twin for intelligent transportation system
Bao, L., Wang, Q., & Jiang, Y. C. (2021) · International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT) · doi:10.1109/iceert53919.2021.00064 · Cited by 62
Kaiblinger, A., & Woschank, M. (2022) · Applied Sciences · doi:10.3390/app12020669 · Cited by 72
Digital Twin-Driven Machine Condition Monitoring: A Literature Review
Liu, H., Xia, M., Williams, D., Sun, J., & Yan, H. (2022) · Journal of Sensors · doi:10.1155/2022/6129995 · Cited by 67
Kannapinn, M., Pham, M. K., & Schäfer, M. (2022) · Innovative Food Science & Emerging Technologies · doi:10.1016/j.ifset.2022.103143 · Cited by 57
dos Santos, J. F., Tshoombe, B. K., Santos, L. H. B., Araújo, R. C. F., Manito, A. R. A., Fonseca, W. D. S., & Silva, M. D. O. E. (2022) · IEEE Access · doi:10.1109/access.2022.3232063 · Cited by 59
Afzal, M., Li, R. Y. M., Shoaib, M., Ayyub, M. F., Tagliabue, L. C., Bilal, M., Ghafoor, H., & Manta, O. P. (2023) · Sustainability · doi:10.3390/su152316436 · Cited by 74
Mechanistic Mathematical Models as a Basis for Digital Twins.
Moser, A., Appl, C., Brüning, S., & Hass, V. (2020) · Advances in Biochemical Engineering/Biotechnology · doi:10.1007/10_2020_152 · Cited by 48
Satellite Communications in the New Space Era: A Survey and Future ChallengesPreprint
Kodheli, O., Lagunas, E., Maturo, N., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2002.08811 · Cited by 59
Application Status and Prospect of Digital Twin for On-Orbit Spacecraft
Yang, W., Zheng, Y., & Li, S. (2021) · IEEE Access · doi:10.1109/access.2021.3100683 · Cited by 58
Possibility of Digital Twins Technology for Improving Efficiency of the Branded Service System
Shubenkova, K., Valiev, A., Shepelev, V., Tsiulin, S., & Reinau, K. H. (2018) · 2018 Global Smart Industry Conference (GloSIC) · doi:10.1109/glosic.2018.8570075 · Cited by 59
Wang, Z.-Y. (2020) · Industry 4.0 · doi:10.5772/intechopen.80974 · Cited by 100
Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review
Xie, R., Chen, M., Liu, W., Jian, H., & Shi, Y. (2021) · Sustainability · doi:10.3390/su13052495 · Cited by 59
Semantic-Enhanced Digital Twin System for Robot–Environment Interaction Monitoring
Li, X., He, B., Wang, Z., Zhou, Y., Li, G., & Jiang, R. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3066542 · Cited by 57
Gemini Principles-Based Digital Twin Maturity Model for Asset Management
Chen, L., Xie, X., Lu, Q., Parlikad, A. K., Pitt, M., & Yang, J. (2021) · Sustainability · doi:10.3390/su13158224 · Cited by 66
A knowledge graph based construction method for Digital Twin Network
Zhu, Y., Chen, D., Zhou, C., Lu, L., & Duan, X. (2021) · IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI) · doi:10.1109/dtpi52967.2021.9540177 · Cited by 64
The transition of WRRF models to digital twin applications
Torfs, E., Nicolaï, N., Daneshgar, S., Copp, J. B., Haimi, H., Ikumi, D. S., Johnson, B. R., Plósz, B. G., Snowling, S., Townley, L. R., et al. (2022) · Water Science & Technology · doi:10.2166/wst.2022.107 · Cited by 58
Digital Twin-Based Health Care Facilities Management
Madubuike, O. C., & Anumba, C. (2023) · Journal of computing in civil engineering · doi:10.1061/jccee5.cpeng-4842 · Cited by 43
When is a simulation a digital twin? A systematic literature review
Wooley, A., Silva, D. F., & Bitencourt, J. (2023) · Manufacturing Letters · doi:10.1016/j.mfglet.2023.08.014 · Cited by 67
Using digital twin for maintenance applications in manufacturing: State of the Art and Gap analysis
Aivaliotis, P., Georgoulias, K., & Alexopoulos, K. (2019) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice.2019.8792613 · Cited by 64
Barth, L., Schweiger, L., Benedech, R., et al. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100347 · Cited by 56
Chen, B.-Q., Liu, K., Yu, T., & Li, R. (2024) · Energies · doi:10.3390/en17081964 · Cited by 61
A Digital Twin for Operational Evaluation of Vertical Transportation Systems
Cocho, M. G., Salgado, Ó., Croes, J. J. R., Pluymers, B., & Desmet, W. (2020) · IEEE Access · doi:10.1109/access.2020.3001686 · Cited by 55
Digital Twin-driven Supply Chain Planning
Wang, Y., Wang, X., & Liu, A. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.04.154 · Cited by 59
Zambal, S., Eitzinger, C., Clarke, M., Klintworth, J., & Mechin, P.-Y. (2018) · 2018 IEEE 16th International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin.2018.8472014 · Cited by 56
Intelligent manufacturing in the context of industry 4.0: A case study of siemens industry
Annanth, V. K., Abinash, M., & Rao, L. (2021) · Journal of Physics, Conference Series · doi:10.1088/1742-6596/1969/1/012019 · Cited by 47
Ship’s Digital Twin—A Review of Modelling Challenges and Applications
Assani, N., Matić, P., & Katalinić, M. (2022) · Applied Sciences · doi:10.3390/app12126039 · Cited by 56
The Hitchhiker’s Guide to Fused Twins: A Review of Access to Digital Twins In Situ in Smart Cities
Grübel, J., Thrash, T., Aguilar, L., Gath-Morad, M., Chatain, J., Sumner, R. W., Hölscher, C., & Schinazi, V. R. (2022) · Remote Sensing · doi:10.3390/rs14133095 · Cited by 57
A consistency method for digital twin model of human-robot collaboration
Ma, X., Qi, Q., Cheng, J., & Tao, F. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.10.012 · Cited by 56
Zhang, X., Zheng, L., Fan, W. H., Ji, W., Mao, L., & Wang, L. (2023) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2023.102609 · Cited by 58
Hashmi, R., Liu, H., & Yavari, A. (2024) · Energies · doi:10.3390/en17112456 · Cited by 75
The Digital Shadow as Enabler for Data Analytics in Product Life Cycle Management
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Lai, X., He, X., Wang, S., Wang, X., Sun, W. F., & Song, X. (2022) · Journal of Mechanical Design · doi:10.1115/1.4053606 · Cited by 56
Enabling Digital Twins to Support the UN SDGs
Hassani, H., Huang, X., & MacFeely, S. (2022) · Big Data and Cognitive Computing · doi:10.3390/bdcc6040115 · Cited by 58
Applications of digital twin technology in construction safety risk management: a literature review
Luo, Q., Sun, C., Li, Y., Qi, Z., & Zhang, G. (2024) · Engineering Construction & Architectural Management · doi:10.1108/ecam-11-2023-1095 · Cited by 76
Memory embedded non-intrusive reduced order modeling of non-ergodic flows
Ahmed, S. E., Rahman, S. M., San, O., Rasheed, A., & Navon, I. M. (2019) · Physics of Fluids · doi:10.1063/1.5128374 · Cited by 51
Sreedevi, T. R., & Kumar, M. B. S. (2020) · Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA) · doi:10.1109/accthpa49271.2020.9213235 · Cited by 63
Digital Twins as the Next Phase of Cyber-Physical Systems in Construction
Kan, C., & Anumba, C. (2019) · Computing in Civil Engineering · doi:10.1061/9780784482438.033 · Cited by 54
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
Liu, Y., Wang, Z., Han, K., Shou, Z., Tiwari, P., & Hansen, J. H. L. (2021) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2021.3103695 · Cited by 55
Operational Modal Analysis as a Support for the Development of Digital Twin Models of Bridges
Nicoletti, V., Martini, R., Carbonari, S., & Gara, F. (2023) · Infrastructures · doi:10.3390/infrastructures8020024 · Cited by 56
Experience from implementing digital twins for maintenance in industrial processes
Hassan, M., Svadling, M., & Björsell, N. (2023) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-023-02078-4 · Cited by 60
Sandhu, H. K., Bodda, S. S., & Gupta, A. (2023) · Energies · doi:10.3390/en16062628 · Cited by 60
Bitencourt, J., Wooley, A., & Harris, G. A. (2024) · International Journal of Production Research · doi:10.1080/00207543.2024.2357741 · Cited by 65
Parallel Societies: A Computing Perspective of Social Digital Twins and Virtual–Real Interactions
Wang, F., Qin, R., Li, J., et al. (2020) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2020.2970305 · Cited by 53
The digital twin of the quality monitoring and control in the series solar cell production line
Pei, F., Tong, Y., Yuan, M., Ding, K., & Chen, X. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.02.001 · Cited by 55
Giannaros, E., Κοτζακόλιος, Α., Kostopoulos, V., Sotiriadis, G., Vignjević, R., Djordjevic, N., Boccaccio, M., & Meo, M. (2021) · International Journal of Impact Engineering · doi:10.1016/j.ijimpeng.2021.104058 · Cited by 50
Wei, Y., Lei, Z., & Altaf, M. S. (2022) · Buildings · doi:10.3390/buildings12050566 · Cited by 53
Digital twinning for smart hospital operations: Framework and proof of concept
Han, Y., Li, Y., Li, Y., Yang, B., & Cao, L. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102317 · Cited by 57
Digital twins for metrology; metrology for digital twins
Wright, L., & Davidson, S. (2024) · Measurement Science and Technology · doi:10.1088/1361-6501/ad2050 · Cited by 52
Sun, Z., Jayasinghe, S., Sidiq, A., Shahrivar, F., Mahmoodian, M., & Setunge, S. (2024) · Sensors · doi:10.3390/s25010059 · Cited by 76
An Overview of Digital Twin Technology for Power Electronics: State-of-the-Art and Future Trends
Wu, C., Cui, Z., Xia, Q., Yue, J., & Lyu, F. (2025) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2025.3570638 · Cited by 55
Zhang, C., Zhou, G., Xu, Q., et al. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-10667-5 · Cited by 51
Radzi, A. R., Azmi, N. F., Kamaruzzaman, S. N., Rahman, R. A., & Papadonikolaki, E. (2023) · Construction Innovation · doi:10.1108/ci-07-2022-0183 · Cited by 63
Li, Y.-L., Tsang, Y., Wu, C.-H., & Lee, C. K. M. (2023) · Computers & industrial engineering · doi:10.1016/j.cie.2023.109838 · Cited by 49
Digital Twins in the Sustainable Construction Industry
Zahedi, F., Alavi, H., Sardroud, J. M., & Dang, H. (2024) · Buildings · doi:10.3390/buildings14113613 · Cited by 61
Alcántara, F. E. B., Santos, J. T. N., & Cantalapiedra, I. R. (2024) · Land · doi:10.3390/land13111921 · Cited by 63
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Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle
Allaire, D., Kordonowy, D. N., Lecerf, M., et al. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.05.106 · Cited by 51
Background and Concept of Digital Twin
Tao, F., Zhang, M., & Nee, A. Y. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817630-6.00001-1 · Cited by 57
Brixner, C., Isaak, P., Mochi, S., Ozono, M., Suárez, D., & Yoguel, G. (2020) · Economics of Innovation and New Technology · doi:10.1080/10438599.2020.1719642 · Cited by 51
Hu, W., He, Y., Liu, Z., Tan, J., Yang, M. Y., & Chen, J.-C. (2020) · Journal of Mechanical Design · doi:10.1115/1.4048414 · Cited by 52
Twinbase: Open-Source Server Software for the Digital Twin Web
Autiosalo, J., Siegel, J. E., & Tammi, K. (2021) · IEEE Access · doi:10.1109/access.2021.3119487 · Cited by 50
Implementation of Digital Twins for electrical energy conversion systems in selected case studies
Rassõlkin, A., Orosz, T., Demidova, G., Kuts, V., Rjabtšikov, V., Vaimann, T., & Kallaste, A. (2021) · Proceedings of the Estonian Academy of Sciences · doi:10.3176/proc.2021.1.03 · Cited by 63
Ni, Z., Liu, Y., Karlsson, M., & Gong, S. (2022) · IEEE Access · doi:10.1109/access.2022.3202181 · Cited by 60
He, Y., Yang, M., He, Z., & Guizani, M. (2022) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3205778 · Cited by 54
Jorgensen, J., Hodkiewicz, M., Cripps, E., & Hassan, G. M. (2023) · Computers in industry (Print) · doi:10.1016/j.compind.2022.103806 · Cited by 44
A Bibliometric Analysis of Digital Twin in the Supply Chain
Siew, L. W., Hoe, L. W., & Lee, P. F. (2023) · Mathematics · doi:10.3390/math11153350 · Cited by 57
From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications
Barbie, A., & Hasselbring, W. (2024) · IEEE Access · doi:10.1109/access.2024.3406510 · Cited by 48
Yeratapally, S. R., Leser, P. E., Hochhalter, J. D., Leser, W. P., & Ruggles, T. (2020) · Engineering Fracture Mechanics · doi:10.1016/j.engfracmech.2020.106888 · Cited by 49
Transformation of robotic workcells to digital twins
Erdős, G., Paniti, I., & Tipary, B. (2020) · CIRP Annals · doi:10.1016/j.cirp.2020.03.003 · Cited by 52
Developing Industrial CPS: A Multi-Disciplinary Challenge
Hoffmann, M. W., Malakuti, S., Grüner, S., et al. (2021) · Sensors · doi:10.3390/s21061991 · Cited by 50
Digital Twin-Based Risk Control during Prefabricated Building Hoisting Operations
Liu, Z., Li, A., Sun, Z., Shi, G., & Meng, X. (2022) · Sensors · doi:10.3390/s22072522 · Cited by 50
Luo, J., Liu, P., & Cao, L. (2022) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi11080452 · Cited by 53
Augmented digital twin for railway systems
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Coupling Damage-Sensing Particles to the Digitial Twin Concept
Hochhalter, J. D., Leser, W. P., Newman, J. A., Glaessgen, E. H., Gupta, V. K., & Yamakov, V. I. (2014) · Cited by 48
Self-citationChang, K.-H., Sun, Y.-J., Lai, C.-A., Chen, L.-D., Wang, C., Chen, C.-J., & Lin, C. (2021) · International Journal of Production Research · doi:10.1080/00207543.2020.1870015 · Cited by 51
Zayed, S. M., Attiya, G., El‐Sayed, A., & Hemdan, E. E. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-15611-7 · Cited by 51
An Approach to Develop Digital Twins in Industry
González-Herbón, R., González-Mateos, G., Ossorio, J. R. R., Domínguez, M., Alonso, S., & Fuertes, J. J. (2024) · Sensors · doi:10.3390/s24030998 · Cited by 55
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Multi-physics Response of Structural Composites and Framework for Modeling Using Material Geometry
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What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences
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Using a Digital Twin for Production Planning and Control in Industry 4.0
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Autonomous Driving Test Method Based on Digital Twin: A Survey
Niaz, A., Shoukat, M. U., Jia, Y., Khan, S., Niaz, F., & Raza, M. U. (2021) · International Conference on Computing, Electronic and Electrical Engineering (ICE Cube) · doi:10.1109/icecube53880.2021.9628341 · Cited by 54
Quantifying the unknown impact of segmentation uncertainty on image-based simulations
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Leveraging Digital Twin Technology for Battery Management: A Case Study Review
Njoku, J. N., Nkoro, E. C., Medina, R. M., Nwakanma, C. I., Lee, J., & Kim, D. (2025) · IEEE Access · doi:10.1109/access.2025.3531833 · Cited by 55
Kaszynski, A. A., Beck, J. A., & Brown, J. M. (2013) · Journal of Engineering for Gas Turbines and Power · doi:10.1115/1.4025000 · Cited by 47
Reitenbach, S., Vieweg, M., Becker, R., Hollmann, C., Wolters, F., Schmeink, J., Otten, T., & Siggel, M. (2020) · AIAA SciTech Forum · doi:10.2514/6.2020-0867 · Cited by 65
Turan, E., Konuşkan, Y., Yıldırım, N., Tunçalp, D., İnan, M., Yasin, O., Apaçoğlu-Turan, B., & Kerimoğlu, V. (2022) · Sustainable Computing Informatics and Systems · doi:10.1016/j.suscom.2022.100655 · Cited by 49
Digital Twin for Aquaponics Factory: Analysis, Opportunities, and Research Challenges
Xu, L. P., Yu, H., Qin, H., Chai, Y., Yan, N., Li, D., & Chen, Y. (2023) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2023.3331135 · Cited by 46
Digital twins in healthcare IoT: A systematic review
Kabir, M. R., Shishir, F. S., Shomaji, S., & Ray, S. (2025) · High-Confidence Computing · doi:10.1016/j.hcc.2025.100340 · Cited by 68
Modeling of Digital Twin Workshop Based on Perception Data
Zhang, Q., Zhang, X., Xu, W., Liu, A.-M., Zhou, Z.-D., & Pham, D. (2017) · International Conference on Intelligent Robotics and Applications · doi:10.1007/978-3-319-65298-6_1 · Cited by 47
Developing a selective assembly technique for sheet metal assemblies
Aderiani, A. R., Wärmefjord, K., Söderberg, R. C., & Lindkvist, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1581387 · Cited by 45
Bi, Z., Zhang, W., Wu, C., & Li, L. (2021) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100316 · Cited by 47
A Review of the Roles of Digital Twin in CPS-Based Production Systems
Negri, E., Fumagalli, L., & Macchi, M. (2019) · Springer eBooks · doi:10.1007/978-3-030-20704-5_13 · Cited by 46
Realizing zero-waste value chains through digital twin-driven S&OP: A case of grocery retail
Sengupta, S., & Dreyer, H. C. (2023) · Computers in industry (Print) · doi:10.1016/j.compind.2023.103890 · Cited by 38
Ruah, C., Simeone, O., & Al‐Hashimi, B. M. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3310093 · Cited by 54
A review on digital twin application in photovoltaic energy systems: challenges and opportunities
Alao, K. T., Gilani, S. I. U.-H., Sopian, K., & Alao, T. O. (2024) · JMST Advances · doi:10.1007/s42791-024-00083-z · Cited by 56
Virtualization of Production Using Digital Twin Technology
Halenár, I., Juhás, M., Juhásová, B., & Borkin, D. (2019) · International Carpathian Control Conference · doi:10.1109/carpathiancc.2019.8765940 · Cited by 50
On Digital Twin Condition Monitoring Approach for Drivetrains in Marine Applications
Johansen, S., & Nejad, A. (2019) · Volume 10: Ocean Renewable Energy · doi:10.1115/omae2019-95152 · Cited by 42
Towards the Development of an Operational Digital Twin
Gardner, P. A., Borgo, M. D., Ruffini, V., Hughes, A. J., Zhu, Y., & Wagg, D. (2020) · Vibration · doi:10.3390/vibration3030018 · Cited by 47
Metadata
- Authors
- Glaessgen, E., & Stargel, D.
- Affiliations
- Langley Research Center (US)
- United States Air Force Office of Scientific Research (US)
- Venue
- 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA
- Published
- 2012-04-23
- OpenAlex
- W2046074714
- Semantic Scholar
- 733d40c04be482d38dbd21f82b81e0fc890b6669
- Cited by
- 2,404
- References
- 1
- Citations by year
- 2026: 214 · 2025: 332 · 2024: 451 · 2023: 381 · 2022: 342 · 2021: 278 · 2020: 211 · 2019: 108 · 2018: 48 · 2017: 13 · 2016: 11 · 2015: 4 · 2014: 6 · 2013: 4
- FWCI
- 11.20
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- NASA STI Repository (National Aeronautics and Space Administration) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Control and Systems Engineering › Engineering and Test Systems
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Keywords
- digital twin, integrated vehicle health management, aircraft certification, fleet management, program sustainability, material property variation, maintenance history, safety and reliability
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