Fuzzy Structural Analysis Using Improved Jaya-based Optimization Approach
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...
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| Veröffentlicht in: | Periodica polytechnica. Civil engineering. Bauingenieurwesen 2024-01, Vol.68 (1), p.1-7 |
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| container_title | Periodica polytechnica. Civil engineering. Bauingenieurwesen |
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| creator | Pham, Hoang-Anh Nguyen, Ba-Duan |
| description | 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. |
| doi_str_mv | 10.3311/PPci.22818 |
| format | Article |
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| subjects | Accuracy Algorithms Civil engineering Optimization Reduction Static loads Structural analysis Trusses Variables |
| title | Fuzzy Structural Analysis Using Improved Jaya-based Optimization Approach |
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