PSI - Issue 48

Available online at www.sciencedirect.com Structural Integrity Procedia 00 (2023) 000 – 000 Available online at www.sciencedirect.com ScienceDirect

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Procedia Structural Integrity 48 (2023) 348–355

© 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 IRAS 2023 organizers Abstract The first order reliability method (FORM) may provide unstable and inaccurate results for gray/ highly nonlinear performance functions. In this study, FORM approaches based on gradient and non-gradient methods are compared for both accuracy and robustness of results in nonlinear/complex reliability problems. Two gradient based sensitivity vectors using steepest descent search direction as (HL-RF) and directional stability transformation method (DSTM) are compared to two non-gradient approaches of harmony search optimization (HS) and particle swarm optimization (PSO). A refined probabilistic model using FORM is used for non-gradient optimization methods. The accuracy and robustness of FORM-based gradient formulations and refined FORM-based non-gradient approaches are compared on nonlinear/complex performance functions. The comparative results demonstrate that the PSO-based refined FORM provides accurate and robust results compared to FORM using HL-RF and DSTM. In addition to that, PSO shows superior performances compared to HS and gradient-FORM in complex engineering structures applications. © 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 IRAS 2023 organizers Keywords: Type your keywords here, separated by semicolons ; Second International Symposium on Risk Analysis and Safety of Complex Structures and Components (IRAS 2023) Gradient and non-gradient-based first order reliability method for robust and accurate structural reliability analysis Behrooz Keshtegar a , Mohamed El Amine Ben Seghier b,c, *, José A.F.O. Correia d a Department of Civil Engineering, Faculty of Engineering, University of Zabol, P.B. 9861335856 Zabol, Iran b Laboratory for Computational Mechanics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam c Faculty of Mechanical - Electrical and Computer Engineering, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam d INEGI, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.

* Corresponding author. Tel.: /; fax: /. E-mail address: benseghier@vlu.edu.vn

2452-3216 © 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 IRAS 2023 organizers

2452-3216 © 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 IRAS 2023 organizers 10.1016/j.prostr.2023.07.122