Title: Study on optimisation of seismic performance of special-shaped column structure in residential buildings based on BIM technology

Authors: Peng Zhang; Li Wang; Jing Zhong

Addresses: Department of Architecture and Civil Engineering, Xingtai Polytechnic College, Xingtai 054000, China ' Department of Architecture and Civil Engineering, Xingtai Polytechnic College, Xingtai 054000, China ' Department of Architecture and Civil Engineering, Xingtai Polytechnic College, Xingtai 054000, China

Abstract: In order to solve the problems of poor seismic performance of special-shaped column structure of residential buildings after traditional optimisation methods, a seismic performance optimisation method of special-shaped column structure of residential buildings based on BIM technology is proposed. Building visual information base model is constructed by BIM technology. The variation of the parameters of special-shaped column structure in residential buildings is analysed. Then, considering the economic benefits of the special-shaped structure of residential buildings, a comprehensive two-way driving structure is built. The displacement parameters of the special-shaped structure of residential buildings are obtained, and then its multi-degree of freedom system and equivalent single degree of freedom are analysed. Upon determining the displacement degree of the special-shaped column structure of residential buildings, the optimisation of the special-shaped column structure of residential buildings is completed. The results show that the maximum displacement curvature ductility coefficient is about 4.5 and variation range of energy dissipation coefficient is 0.03~0.04.

Keywords: BIM technology; residential building; non-standard pillar; Rhino parametric model; seismic performance optimisation; special-shaped column structure.

DOI: 10.1504/IJESMS.2024.135119

International Journal of Engineering Systems Modelling and Simulation, 2024 Vol.15 No.1, pp.11 - 19

Received: 17 Nov 2020
Accepted: 28 Jan 2022
Published online: 01 Dec 2023 *