Reengineering Aircraft Structural Life Prediction Using a Digital Twin

Tuegel, Eric J.; Ingraffea, Anthony R.; Eason, Thomas; Spottswood, S. Michael

doi:10.1155/2011/154798

Cited by 789 publications

(331 citation statements)

References 41 publications

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“…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. They will form the foundation of a Digital Twin [15][16][17][18] .…”

Section: Conceptmentioning

confidence: 99%

“…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 Computational Materials Engineering (ICME) 20 and Materials State Awareness 21 . Many of the concepts discussed in the NSF's recommendations for SBES are pervasive throughout the themes of the Digital Twin, including, multiscale modeling of materials, dynamic simulation of sensors, and verification and validation. 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.…”

Section: Influence On National Goalsmentioning

confidence: 99%

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The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles

Glaessgen

Stargel

2012

53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

1,445
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609
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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.

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Section: Conceptmentioning
confidence: 99%

Section: Influence On National Goalsmentioning
confidence: 99%

The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen
¹
,
Stargel
²

2012
53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
1,445
1
609
0
View full text Add to dashboard Cite

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“…In the longer term, it should be possible to use diagnostics of structural and materials health as part of a comprehensive philosophy of condition based management + prognosis (CBM+) [5][6][7][8][9]. In the longer term, a key goal is to pursue the concept of aircraft digital twin to represent the evolving health state of each individual asset [10].…”

Section: A Bright Future For Materials Designmentioning
confidence: 99%

Reducing uncertainty in fatigue life limits of turbine engine alloys
Larsen
¹
,
Jha
²
,
Szczepanski
³

et al. 2013
International Journal of Fatigue
35
3
20
0
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a b s t r a c tIn probabilistic design of materials for fracture-critical components in modern military turbine engines, a typical maximum design target risk (DTR) is 5 Â 10 À8 component failures/engine flight hour. This metric underscores the essential role of safety in a design process that simultaneously strives to achieve performance, efficiency, reliability, and affordability throughout the life cycle of the engine. Traditionally, the design and life management approaches for engine materials have typically relied on extensive testing programs to produce large databases of fatigue data, from which statistically based life limits are derived by extrapolation from the mean fatigue behavior. However, we have found that the statistical behavior of fatigue lifetimes under a given test condition often exhibits a bimodal form, and that the trends in mean vs. minimum fatigue lifetime typically respond differently to loading or to microstructural variables. Under such circumstances, the underlying life-limiting mechanisms appear to exhibit a probabilistic microstructural hierarchy in fatigue resistance that is controlled by susceptibility of local microstructural neighborhoods to early damage and the growth of small cracks. These findings suggest that significant opportunities may exist for reductions in uncertainty in materials life-cycle prediction and management, if such hierarchies can be understood and controlled. This paper explores the potential implications of these findings, and a number of possible approaches are suggested for incorporating the insights of life-limiting fatigue into methods of integrated computational materials engineering (ICME) to support optimized life-cycle design of materials and components in turbine engines. Benefits of this approach appear to include substantial improvements in model accuracy, coupled with reduced requirements for materials testing, potentially leading to a significant reduction in the time and cost to develop, validate, transition, and implement new, more fatigue resistant alloys. Published by Elsevier Ltd.

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“…Moreover, E. J. Tuegel and co-authors confirmed it. [2] .In their article, a model represented the idea of how a digital twin can be used to predict the lifetime of an aircraft structure and to ensure its structural integrity. In other words, the value of a digital twin is expressed in predicting local damage through the calculations of temperatures and structural deflections in conditions met during a flight.…”

Section: Introductionmentioning
confidence: 99%

Methods of computational modeling of coronary heart vessels for its digital twin
Naplekov
¹
,
Zheleznikov
²
,
Pashchenko
³

et al. 2018
MATEC Web of Conferences
13
1
2
0
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Abstract. In this work, methods of numerical modelling of the coronary vessels system of the human heart have been studied. This investigation includes transient flow of the liquid -blood and dynamics of zones of shear stress at vessels. The main goal of the research is obtaining of hemodynamic and shear stress for creating the digital twin of coronary heart vessels. The results were obtained for low Reynolds numbers about 20 of three-dimensional laminar flow. With this Reynolds number the turbulent flow of the blood is modelled by Realizable k-ε model, and SST models to the narrowing, expansions, and blocks inside the vessels. Loads caused by the additional energy consumption because of the turbulent flow of the blood (increase in arterial blood pressure) have been analyzed. A twodimensional model of a separated vessel with fixed blood back-flow prevention is developed. Presence of a turbulent flow core is discovered. By the means of stress-strain properties of the model, visual representation of the wearing process of the blood back-flow preventer, and heart diseases progression is obtained.

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Reengineering Aircraft Structural Life Prediction Using a Digital Twin

Cited by 789 publications

References 41 publications

The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles

The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles

Reducing uncertainty in fatigue life limits of turbine engine alloys

Methods of computational modeling of coronary heart vessels for its digital twin

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