PSI - Issue 57

Available online at www.sciencedirect.com Mohammad F. Tamimi & Mohamed Soliman/ Structural Integrity Procedia 00 (2023) 000 – 000 1

ScienceDirect

Procedia Structural Integrity 57 (2024) 121–132 Fatigue Design 2023 (FatDes 2023) Uncertainty Quantification of the Crack Propagation Behavior in Welded Stiffened Panels Using a Hybrid Framework Integrating Artificial Neural Networks and Finite Element Analysis Mohammad F. Tamimi 1 & Mohamed Soliman 2 Abstract Predicting the crack propagation behavior in welded stiffened panels often used in marine, civil, and aerospace structures, has been challenging. The presence of welded stiffeners creates complex stress conditions that need to be properly considered while predicting the crack growth. Another challenge is the presence of significant uncertainties related to the variability in the geometric parameters. In this context, the proper consideration of the uncertainties associated with these parameters is crucial for the accurate prediction of the fatigue service life and for ensuring structural integrity and operational reliability throughout the service life. This paper conducts a sensitivity analysis to evaluate the effect of relevant input parameters, covering the characteristics of the main panel and stiffener characteristics, on the crack propagation behavior. A 3D finite element analysis, an artificial neural network, and an elastic-plastic crack growth model are integrated to predict crack propagation under cyclic loading. The sensitivity assessment approach is illustrated on stiffened panels with T- and L-shape stiffeners subjected to axial tensile fatigue loading. The proposed approach is validated using experimental test data reported in literature. Mohammad F. Tamimi & Mohamed Soliman/ Structural Integrity Procedia 00 (2023) 000 – 000 1 Fatigue Design 2023 (FatDes 2023) Uncertainty Quantification of the Crack Propagation Behavior in Welded Stiffened Panels Using a Hybrid Framework Integrating Artificial Neural Networks and Finite Element Analysis Mohammad F. Tamimi 1 & Mohamed Soliman 2 Abstract Predicting the crack propagation behavior in welded stiffened panels often used in marine, civil, and aerospace structures, has been challenging. The presence of welded stiffeners creates complex stress conditions that need to be properly considered while predicting the crack growth. Another challenge is the presence of significant uncertainties related to the variability in the geometric parameters. In this context, the proper consideration of the uncertainties associated with these parameters is crucial for the accurate prediction of the fatigue service life and for ensuring structural integrity and operational reliability throughout the service life. This paper conducts a sensitivity analysis to evaluate the effect of relevant input parameters, covering the characteristics of the main panel and stiffener characteristics, on the crack propagation behavior. A 3D finite element analysis, an artificial neural network, and an elastic-plastic crack growth model are integrated to predict crack propagation under cyclic loading. The sensitivity assessment approach is illustrated on stiffened panels with T- and L-shape stiffeners subjected to axial tensile fatigue loading. The proposed approach is validated using experimental test data reported in literature. © 2024 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 2023 organizers © 2023 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 2023 organizers © 2023 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 2023 organizers Keywords: Welded Stiffened Panels; Sensitivity; Fatigue; Crack; Uncertainties

Keywords: Welded Stiffened Panels; Sensitivity; Fatigue; Crack; Uncertainties

2452-3216 © 2024 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 2023 organizers 10.1016/j.prostr.2024.03.015 1 Assistant Professor, Department of Civil Engineering, Yarmouk University, Irbid, Jordan. 2 Associate Professor, School of Civil and Environmental Engineering, Oklahoma State University, Stillwater, OK, U.S.A.