Shear wall layout optimization strategy for high-rise buildings based on conceptual design and data-driven tabu search. (1st July 2021)

• Record Type: Journal Article
• Authors: Lou, Haopeng; Gao, Boqing; Jin, Fengling; Wan, Yinyuan; Wang, Yaxing
• Is Part Of: Computers & structures. Volume 250(2021)
• Publication Date: 2021-07-01
• Subjects: High-rise buildings -- Shear wall -- Conceptual design -- Data-driven -- Tabu search -- Layout optimization; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2021.106546
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: A novel shear wall layout optimization methodology is proposed. Conceptual design is combined to play a guiding role in the optimization. The surrogate model is built through support vector machine for model evaluation. Verification of the new methodology by shear wall structure optimization. Abstract: 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.