建筑物抗震保护中摩擦阻尼器最佳分布的智能计算方法

IF 5.3 3区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Emerging Topics in Computational Intelligence Pub Date : 2024-03-05 DOI:10.1109/TETCI.2024.3369909

Mert Can Kurucu;Ercan Atam;Müjde Güzelkaya;İbrahim Eksin

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引用次数: 0

摘要

使用摩擦阻尼器（FDs）对多层建筑进行抗震保护是一种廉价而有效的被动结构控制解决方案。为了优化系统响应，需要在楼层之间优化摩擦阻尼器的分布，这是一个具有挑战性的问题。在本文中，我们提出了基于强化学习的新型智能计算方法，用于 $m$ 层建筑的 $n$ FDs 分配。为了证明所提方法的有效性，我们考虑了在 3 层楼中优化分布 16 个 FD 的案例研究，并将结果与基于大量地震加速度的统计分析得出的最优解进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent Computational Methods for Optimal Distribution of Friction Dampers in Seismic Protection of Buildings

Seismic protection of multi-story buildings using friction dampers (FDs) is a cheap and effective passive structural control solution. For optimization of system response, optimal distribution of FDs between floors is required, which is a challenging problem. In this paper, we propose novel intelligent computational methods based on reinforcement learning for the distribution of

$n$

FDs for

$m$

-story buildings. In order to demonstrate the effectiveness of the proposed methods, a case study of optimally distributing 16 FDs in a 3-story building is considered, and the results are compared with the optimal solution found from a statistical analysis based on a large number of earthquake accelerations.

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来源期刊

IEEE Transactions on Emerging Topics in Computational Intelligence Mathematics-Control and Optimization

CiteScore

10.30

自引率

7.50%

发文量

147

期刊介绍： The IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) publishes original articles on emerging aspects of computational intelligence, including theory, applications, and surveys. TETCI is an electronics only publication. TETCI publishes six issues per year. Authors are encouraged to submit manuscripts in any emerging topic in computational intelligence, especially nature-inspired computing topics not covered by other IEEE Computational Intelligence Society journals. A few such illustrative examples are glial cell networks, computational neuroscience, Brain Computer Interface, ambient intelligence, non-fuzzy computing with words, artificial life, cultural learning, artificial endocrine networks, social reasoning, artificial hormone networks, computational intelligence for the IoT and Smart-X technologies.