Reengineering Aircraft Structural Life Prediction Using a Digital Twin

By E. Tuegel, Anthony R. Ingraffea, T. Eason, Michael Spottswood. 2011

980 citations recorded by the source corpus.

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.

Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/3d665a49a63e65b619d53f5c84f0afde81a47994

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In Civil and Structural Engineering

In Mechanics of Materials

In Statistics and Probability

Citations in the corpus

Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues (2021, background): “other systems involved in the production process [50].”
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications (2019, background): “Precisely, ten years after Grieves’ deﬁnition, NASA researchers, in their roadmap [22], which is now considered by aerospace researchers [23], [24] as the seminal work about DTs, suggested that DT would improve performance in the ﬁeld of aviation.”
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems (2017, background): “The concept has been proposed for next generation fighter aircraft and NASA vehicles [19, 20], along with a description of the challenges [20] and implementation of as-builts [21].”
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda (2021, methodology): “These digital clones could be used to provide classification [238], [239], recognition [240], [241], prediction [242], [243], and determination”
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (2018, background): “While digital twin is to respond to the desire for interaction and integration between the physical and cyber worlds, which is inseparable from the rapid popularization and application of information technologies [34].”
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities (2021, methodology): “[3] in 2011 to digitally reproduce the structural behavior of an aircraft.”
High-performance medicine: the convergence of human and artificial intelligence (2019, background): “While these have helped avert hypoglycemic episodes 142 , smart algorithms that incorporate an individual’s comprehensive data are likely to be far more informative and helpful.”
Digital twin-driven product design, manufacturing and service with big data (2017, methodology): “Structural Sciences Center at US Air Force Research Laboratory employed digital twin to build a realistic high-fidelity flight model and combine virtual model data with physical data to make a more accurate fatigue life prediction [24].”
A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning (2019, methodology): “[19] presented a conceptual model using digital twin to predict the aircraft structural life, and discussed the technical challenges of development and implementation.”
Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions (2020, methodology): “In 2011, implementing DT was considered a complex procedure, which required many developments in di ﬀ erent technologies [77].”
Digital Twin in Industry: State-of-the-Art (2019, background): “They reported that the DT could facilitate the management of aircraft service life [13].”