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Shear wall layout optimization strategy for high-rise buildings based on conceptual design and data-driven tabu search
Computers & Structures ( IF 4.7 ) Pub Date : 2021-04-08 , DOI: 10.1016/j.compstruc.2021.106546
Haopeng Lou , Boqing Gao , Fengling Jin , Yinyuan Wan , Yaxing Wang

The scope of this paper is to present a novel design methodology that relies on the tabu search (TS) algorithm and aims to optimize the shear wall layout of high-rise buildings. By discretizing the distributable area of a shear wall into wall elements, different possible shear wall layouts can be described by binary code where ‘0’ and ‘1’ indicate the absence or presence of a wall element respectively. Furthermore, the conceptual design is combined with the optimization algorithm to play a guiding role in the optimization, and the surrogate model is built through support vector machine (SVM) to drive the optimization process with historical data and reduce the cost of the real model’s evaluation. Then, the structural weight can be automatically minimized with constraints on the story drift and period ratio and an optimization program with an independent interface is compiled in this paper. This method was used to optimize the layouts of different shear wall structures, which proved the feasibility and effectiveness.



中文翻译:

基于概念设计和数据驱动禁忌搜索的高层建筑剪力墙布局优化策略

本文的范围是提出一种新颖的设计方法,该方法依赖于禁忌搜索(TS)算法,旨在优化高层建筑的剪力墙布局。通过将剪力墙的可分配区域离散化为墙体元素,可以用二进制代码描述不同的可能剪力墙布局,其中“ 0”和“ 1”分别表示不存在或存在墙体元素。此外,将概念设计与优化算法相结合,在优化中起指导作用,并通过支持向量机(SVM)建立替代模型,以历史数据驱动优化过程,并降低实际模型评估的成本。然后,通过限制故事漂移和周期比率,可以自动最小化结构权重,并编写了具有独立接口的优化程序。该方法用于优化不同剪力墙结构的布局,证明了可行性和有效性。

更新日期:2021-04-08
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