Fuzzy Structural Analysis Using Improved Jaya-based Optimization Approach
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Published:2023-08-16
Issue:1
Volume:68
Page:1-7
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ISSN:1587-3773
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Container-title:Periodica Polytechnica Civil Engineering
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language:
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Short-container-title:Period. Polytech. Civil Eng.
Author:
Pham Hoang-Anh,Nguyen Ba-Duan
Abstract
A new approach to performing the α-level optimization in the fuzzy analysis of structural systems is developed in this study. The method uses a simple global optimizer, the Jaya algorithm, together with an innovative dimension reduction technique. The dimension reduction technique aims to transform the original large α-level optimization problem into a low-dimension one by making use of the monotonic behavior of the system output with respect to the input variables. Then, the Jaya algorithm is applied to solve the reduced max/min α-level optimization problems to determine the bounds of the fuzzy output. Two numerical examples, including a 2D truss and a 3D truss, with a relatively large number of fuzzy input variables are analyzed and the fuzzy displacements under static loads are predicted. It is demonstrated that the proposed approach can save a significant computational amount and also estimate the fuzzy displacement with high accuracy.
Publisher
Periodica Polytechnica Budapest University of Technology and Economics
Subject
Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering