Inversion study of soft foundation sluice bottom plate emptying based on a GPR surrogate model and a GA-APSO hybrid optimization algorithm

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (14) : 1-10.

LI Huokun1，KE Xianyong1,2，HUANG Wei1，LIU Shuangping1,2，TANG Yiyuan1，FANG Jing1

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Abstract

The floor void of sluice on soft foundation is a very harmful and undetectable disease caused by environmental factors such as water erosion during long-term service of sluice gates. Since the damage area is underwater, it is difficult to be detected by traditional methods. In this paper, a dynamic inversion method based on Gaussian Process Regression(GPR) surrogate model and Genetic Algorithm-Adaptive Particle Swarm Optimization(GA-APSO) hybrid optimization algorithm is proposed to detect the voiding of soft foundation sluice floor.. Firstly, a GPR surrogate model is constructed to characterize the nonlinear relationship between the emptying parameters and the modal parameters of the sluice structure; secondly, an optimization mathematical model for emptying parameter inversion is established based on the GPR surrogate model and the measured modal parameters of the sluice, and the inversion problem is transformed into an objective function optimization solution problem; Finally, in order to improve the accuracy of the algorithm, a GA-APSO hybrid optimization algorithm is proposed to perform the inversion calculation of the objective function for the emptying, and a more reasonable index to judge the relative error between the inversion voiding area and the actual voiding area—area non-coincidence is proposed. In order to verify the performance of the proposed method, the physical model of an indoor soft foundation sluice is used as an example, and two different emptying conditions are set for analysis. The results show that the relative errors of the inverse emptying area and the actual set emptying area of the model are 8.47% and 10.77%, respectively, with smaller relative error values. and the proposed method can effectively inverse perform the emptying of the sluice bottom plate, which can be a new method for inversion detection of soft foundation sluice floor.

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soft foundation sluice / bottom plate emptying inversion / Dynamic method / GPR surrogate model / GA-APSO hybrid optimization algorithm

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LI Huokun1，KE Xianyong1,2，HUANG Wei1，LIU Shuangping1,2，TANG Yiyuan1，FANG Jing1. Inversion study of soft foundation sluice bottom plate emptying based on a GPR surrogate model and a GA-APSO hybrid optimization algorithm[J]. Journal of Vibration and Shock, 2023, 42(14): 1-10

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