PSI - Issue 38

Available online at www.sciencedirect.com Available online at www.sciencedirect.com Available online at www.sciencedirect.com

ScienceDirect

Procedia Structural Integrity 38 (2022) 331–341 Structural Integrity Procedia 00 (2021) 000–000 Structural Integrity Procedia 00 (2021) 000–000

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© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2021 Organizers © 2021 The Authors. Published by Elsevier B.V. his is an open access article under the CC BY-NC-ND license (http: // creativec mmons.org / licenses / by-nc-nd / 4.0 / ). eer-review under responsibility of the Fatigue Design 2021 Or aniz rs. Keywords: Fatigue crack growth simulation; uncertainty quantification; response surface modeling; remaining useful life; 3D finite element modeling; probabilistic structural life assessment; Abstract Runtime e ffi cient models designed for damage tolerant life assessment are desired in Structural Health Management and Digital Twin development. While FEM is commonly used in the industry to assess health of a nominal structure design while in service, in probabilistic assessments, reduced order models are preferred due to lower runtime compared to the deterministic models but at the cost of solution accuracy. Readily available machine learning algorithms coupled with deterministic 3D simulations for modeling fatigue crack growth provide a feasible path to reach a better runtime-accuracy compromise. In this study, a fatigue crack growth testing procedure along with measurement data are used for validation purposes and for laying out details of the modeling process. Accuracy and solution runtime of the 3D FEA based surrogate models are assessed to demonstrate the e ffi ciency of the method. © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ). Peer-review under responsibility of the Fatigue Design 2021 Organizers. Keywords: Fatigue crack growth simulation; uncertainty quantification; response surface modeling; remaining useful life; 3D finite element modeling; probabilistic structural life assessment; FATIGUE DESIGN 2021, 9th Edition of the International Conference on Fatigue Design 3D FEA based surrogate modeling in fatigue crack growth life assessment Adrian Loghin a, ∗ , Shakhrukh Ismonov b a Simmetrix Inc., Clifton Park, NY, USA b Jacobs Technologies Inc., Houston, TX, USA Abstract Runtime e ffi cient models designed for damage tolerant life assessment are desired in Structural Health Management and Digital Twin development. While FEM is commonly used in the industry to assess health of a nominal structure design while in service, in probabilistic assessments, reduced order models are preferred due to lower runtime compared to the deterministic models but at the cost of solution accuracy. Readily available machine learning algorithms coupled with deterministic 3D simulations for modeling fatigue crack growth provide a feasible path to reach a better runtime-accuracy compromise. In this study, a fatigue crack growth testing procedure along with measurement data are used for validation purposes and for laying out details of the modeling process. Accuracy and solution runtime of the 3D FEA based surrogate models are assessed to demonstrate the e ffi ciency of the method. FATIGUE DESIGN 2021, 9th Edition of the International Conference on Fatigue Design 3D FEA based surrogate modeling in fatigue crack growth life assessment Adrian Loghin a, ∗ , Shakhrukh Ismonov b a Simmetrix Inc., Clifton Park, NY, USA b Jacobs Technologies Inc., Houston, TX, USA

Nomenclature Nomenclature

RUL Remaining Useful Life FEA Finite Element Analysis FE Finite Element 3D Three-dimensional CAD Computer Aided Design ADT Airframe Digital Twin RBF Radial Basis Function RS Response Surface RUL Remaining Useful Life FEA Finite Element Analysis FE Finite Element 3D Three-dimensional CAD Computer Aided Design ADT Airframe Digital Twin RBF Radial Basis Function RS Response Surface

∗ Corresponding author. E-mail address: loghin@simmetrix.com ∗ Corresponding author. E-mail address: loghin@simmetrix.com

2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Fatigue Design 2021 Organizers 10.1016/j.prostr.2022.03.034 2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ). Peer-review u der responsibility of the Fatigue Design 2021 Organizers. 2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ). Peer-review under responsibility of the Fatigue Design 2021 Organizers.