Reengineering Aircraft Structural Life Prediction Using a Digital Twin

Реинжиниринг прогнозирования ресурса конструкции воздушного судна с использованием цифрового двойника
Eric Tuegel, Anthony R. Ingraffea, Thomas Eason, S. Michael Spottswood
2011-01-01

aircraft structural life predictiondigital twinmaterial state evolutionstructural integrityultrahigh fidelity model
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.
1
A conceptual framework is presented for using Digital Twins to predict structural life and assure aircraft structural integrity.
2
The Digital Twin integrates flight-condition responses, including structural deflections and temperatures, with local damage and material-state evolution.
3
The paper identifies and discusses technical challenges involved in developing and deploying aircraft Digital Twins.
4
The paper proposes reengineering aircraft structural life prediction to exploit advances in very high-performance digital computing.
5
The proposed process uses an ultrahigh-fidelity Digital Twin individualized to each aircraft by tail number.

individual aircraft structure represented by a tail-number-specific Digital Twin

aircraft structural life prediction and structural-integrity assurance through integrated modeling of flight-condition-induced deflections, temperatures, local damage, and material-state evolution

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Publication Date
2011-01-01
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Authors
Eric Tuegel
Anthony R. Ingraffea
Thomas Eason
S. Michael Spottswood
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