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Reengineering Aircraft Structural Life Prediction Using a Digital Twin
Open accessAbstract
Reengineering of the aircraft structural life prediction process to fully exploit advances in very high performance digital computing is proposed. The proposed process utilizes an ultrahigh fidelity model of individual aircraft by tail number, a Digital Twin, to integrate computation of structural deflections and temperatures in response to flight conditions, with resulting local damage and material state evolution. A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented. The technical challenges to developing and deploying a Digital Twin are discussed in detail.
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“Subsequently, following NASA's footsteps, the US Air Force Research Laboratory (AFRL) adopted DT technology for aircraft design, maintenance, and prediction [20].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [20]
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Metadata
- Authors
- Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M.
- Affiliations
- United States Air Force Research Laboratory (US)
- Cornell University (US)
- Corresponding author
- Tuegel, Eric J.
- Venue
- International Journal of Aerospace Engineering
- Publisher
- Wiley
- Published
- 2011
- Volume
- 2011
- Pages
- 1-14
- ISSN
- 1687-5966 (ISSN-L)
- 1687-5974
- OpenAlex
- W2108366027
- Cited by
- 1,119
- References
- 45
- Citations by year
- 2026: 75 · 2025: 119 · 2024: 173 · 2023: 158 · 2022: 179 · 2021: 129 · 2020: 110 · 2019: 77 · 2018: 50 · 2017: 20 · 2016: 12 · 2015: 6 · 2014: 4 · 2013: 3 · 2012: 4
- FWCI
- 10.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- International Journal of Aerospace Engineering (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Mechanics of Materials › Fatigue and fracture mechanics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- digital twin, structural integrity, structural deflection, temperature prediction, local damage, flight conditions, aircraft structural health monitoring
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