调谐质量阻尼器
阻尼器
结构工程
土-结构相互作用
地震分析
计算机科学
工程类
地质学
有限元法
作者
Bo Fu,X.H. Liu,Jin Chen
标识
DOI:10.1080/13632469.2024.2334824
摘要
In this study, a machine learning-based hybrid optimization method is developed to optimize tuned mass damper considering soil-structure interaction. A total of 200,000 time history analyses of the tuned mass damper-structure-soil system are conducted and the results are used to construct the database of six machine learning models. Three meta-heuristic algorithms are used for optimization. A weighted optimization algorithm is developed based on the three individual optimization algorithms. Compared with three individual optimization algorithms, the weighted optimization algorithm can achieve better optimization results. The robustness of the single ground motion-based optimization applied to other ground motions is also investigated.
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