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| Inversion of elastic modulus of stiffened double modulus rectangular thin plates based on PSO-BP model |
| Received:September 13, 2021 Revised:January 12, 2022 |
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| DOI：10.7511/jslx20210913001 |
| KeyWord:dual-modulus plate rectangular thin plate bending arbitrary boundary conditions PSO |
| Author | Institution |
| 刘韡 |
西安建筑科技大学 理学院, 西安 |
| 张宇鹏 |
西安建筑科技大学 理学院, 西安 |
| 宋永超 |
西安建筑科技大学 理学院, 西安 |
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| Abstract: |
| In order to retrieve the Young’s moduli of materials efficiently by using a small number of observation points,the inversion model of error Back Propagation Network (BP) based on Particle Swarm Optimization (PSO) is established in this paper,and the parameters of error back propagation network are optimized by particle swarm optimization.The deflection of double modulus rectangular thin plate with different elastic moduli is solved by an analytical method as the training sample.The deflection values of four observation points are taken as the input,and the Young’s moduli of the plate are determined through inverse analysis from the PSO-BP model.The results show that the PSO-BP model can establish the relationship between deflection and elastic modulus,and PSO algorithm can improve the accuracy of the BP model.The maximum residuals of three values of the Young’s moduli of a reinforced double modulus rectangular thin plate are 39.052 kPa,73.513 kPa and 64.207 kPa respectively,and the maximum relative errors are 1.722%,3.681% and 3.637% respectively.The model can provide reference and guidance for engineering practice. |
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