Cited by 1,119Structural Health Monitoring TechniquesFatigue and fracture mechanicsDigital Transformation in Industry

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Reengineering Aircraft Structural Life Prediction Using a Digital Twin

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Tuegel, Eric J., Ingraffea, Anthony R., Eason, Thomas G., Spottswood, S. Michael·2011·International Journal of Aerospace Engineering

DOI 10.1155/2011/154798

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Abstract

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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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.
ORCID: Tuegel, Eric J.
Ingraffea, Anthony R.
Spottswood, S. Michael
Venue: International Journal of Aerospace Engineering
Publisher: Wiley
Published: 2011
Volume: 2011
Pages: 1-14
ISSN: 1687-5966 (ISSN-L)
1687-5974
DOI: 10.1155/2011/154798
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
Licence: cc-by
creativecommons.org/licenses/by/3.0/ (unspecified)
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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Reengineering Aircraft Structural Life Prediction Using a Digital Twin

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