Research on Intelligent Semi-Active Control Algorithm Based on Machine Learning and Seismic Reliability of Aqueducts

Author:

Xiao Zhongyuan1,Xu Jianguo1,wang li1,Liang Huang1,Qi Wanshuai2,Zhou Qi2

Affiliation:

1. Zhengzhou University

2. Henan Puze Expressway Company Limited

Abstract

Abstract

Addressing the issue of poor robustness in current semi-active control algorithms and the limited generalization capability of existing deterministic analysis-based evaluation methods Building upon this, an intelligent semi-active control algorithm based on machine learning has been proposed. This has been combined with an engineering example to study semi-active control under the influence of random earthquakes. The results indicate that under the influence of random earthquakes, the seismic reliability of the machine learning-based semi-active control algorithm is significantly higher than that of the uncontrolled state for the same failure threshold

Publisher

Springer Science and Business Media LLC

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