Research on Computer Model of Seismic Performance and Shear Bearing Capacity of Prefabricated Building Wall Structure Based on BIM
DOI:
https://doi.org/10.54097/dem68v56Keywords:
Prefabricated building; steel structure; layout; dense ribbed composite wall; seismic performance.Abstract
The Markov model limited maximum likelihood algorithm is used to analyze the image. Then, the original image block and the image block affected by noise are estimated respectively. Local adaptive regression kernel and principal component analysis were used to extract feature and cluster the image block structure. The original image block's mean value and covariance matrix were computed. Subsequently, by applying weighted averaging techniques to these matrices, the noise reduction estimates for each individual image block could be achieved. The maximum likelihood method is used to make the completely confocal non-correlation, and the Markov random field model is used to limit it. This method can recover the high frequency component of the image well. The seismic response characteristics of fabricated building steel frames are studied. The results show that each group of tests follows the structural system of "block-rib-frame column triple seismic defense system", and its failure mode is one of overall shear failure. The combination of SRC frame and inclined ribbed composite shear wall can not only significantly improve its shear performance, but also obtain better damping effect.
Downloads
References
[1] Li Wenjie. Research on seismic performance evaluation model of prefabricated shear wall structures. Journal of Guangzhou City Vocational College, vol. 15, pp.50-55, February 2021.
[2] Zheng Zhiyuan, WANG Lei, ZHANG Yujin. Research on seismic performance of prefabricated shear wall structures with external filling walls. Journal of Wuhan University of Technology, vol.45, pp.88-96, April 2023.
[3] Sun Chongfang, Chen Zhenyu, ZHAO Zhiqiang, et al. Evaluation of seismic performance of a new type slotted and unbonded horizontal joint prefabricated shear wall structure based on energy. Building Science, vol. 39, pp.8-18, September 2023.
[4] Yin Shiping, Qu Fenghao, Wang Fei, et al. Research on seismic performance and shear bearing capacity of damaged brick masonry wall strengthened by TRC. Journal of Building Structures, vol. 11, pp.107-115, February 2021.
[5] Yang Yan-Min, HU Ting-Yi, Zhang Bin-Lin, et al. Seismic performance of assembled system of sandwich wall panel and steel frame based on steel plate connection. Journal of Building Science and Engineering, vol.37, pp.109-112, March 2020.
[6] Shi Li, Wang Jie, Zhang Zuxue. Effect of aluminum powder content on mechanical properties and workability of microexpanded UHPC. Civil Engineering, vol.13, pp.72-77, February 2024.
[7] Xu Longhe, Yang Fuxiong, Chen Peng, et al. Calculation method of bearing capacity of disc spring considering the width of supporting surface. Engineering Mechanics, vol. 4, pp.1-10, January 2024.
[8] Qian Jiaru, Cui Yao, Zhang Wei, et al. Experimental study on seismic performance of composite beams of prefabricated hollow slab shear wall structures. Journal of Building Structures, vol.41, pp.102-108, January 2020.
[9] Zhao Yongqiang, Zheng Zhiyuan, Pan Han, et al. Finite element study on seismic performance of prefabricated shear wall structures considering the influence of prefabricated filled walls. Architectural Structure, vol. 52, pp.1461-1467, February 2022.
[10] Zhang Zhi-Wei. Experimental study on seismic performance of prefabricated concrete shear wall structures. Jiangxi Building Materials, vol.11, pp.50-52,58, August 2023.
[11] Ding Kewei, Zhang Yuling, Li Haodong, et al. Study on seismic performance of composite plate-steel beam assembled beam-plate joints with embedded Angle steel connectors. Journal of Anhui University of Architecture and Architecture, vol.31, pp.1-9, May 2023.
[12] Pang Rui, Wang Lu, XU Zhu, et al. Seismic performance test and bearing capacity calculation of prefabricated steel-concrete composite pipe shear wall. Building Structures, vol.50, pp.84-89, February 2020.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







