A novel probabilistic model for structural reliability analysis

Keshtegar, Behrooz (2019) A novel probabilistic model for structural reliability analysis. Technical Report. University of Zabol.

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Introduction The robustness of iterative formula as well as its computational efficiency is the essential characteristic of interest for effective reliability analysis of structures. Generally, the analytical approaches including the first order reliability method (FORM) can be used to estimate the failure probability. The FORM is a viable alternative for reliability analysis and is widely used for good balance between accuracy and efficiency in realistic structural engineering problem. The Hasofer and Lind - Rackwitz and Fiessler (HL-RF) iterative algorithm is noted to be an efficient and simple method for solving structural reliability problems. However, for highly nonlinear limit state equations, the iterative HL-RF scheme may lead to unstable solutions i.e. periodic and chaotic solutions. To circumvent such difficulty, various modified algorithms are attempted in the literature e.g stability transformation method (STM), directional STM, chaotic conjugate STM, finite-step length (FSL), relaxed HL-RF (RHL-RF). In this investigation, a robust and efficient iterative algorithm termed as finite-based Armijo line search (FAL) method is explored in the present study for FORM-based structural reliability analysis. The sufficient descent condition is implemented to adjust the finite-step size to achieve the stabilization of the FORM algorithm.

Item Type: Monograph (Technical Report)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: Mrs najmeh khajeh
Date Deposited: 15 Sep 2019 08:54
Last Modified: 15 Sep 2019 08:54
URI: http://eprints.uoz.ac.ir/id/eprint/2511

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