Welcome to Francis Academic Press

Academic Journal of Engineering and Technology Science, 2019, 2(5); doi: 10.25236/AJETS.2019.020502.

Research on Seismic Performance and Earthquake Damage Prediction of Buildings Based on Performance Testing

Author(s)

Liang LI

Corresponding Author:
Liang LI
Affiliation(s)

Zhengzhou University of Aeronautics, Zhengzhou, Henan 450015, China

Abstract

Research on seismic performance of high-rise buildings, predict structural response under earthquake to reduce casualties and design seismic scheme. According to the seismic performance and seismic damage characteristics of the structure, the main factors influencing the seismic damage results of the structure are given. These main factors include the structure form, site type, construction age, building floor number and building area. Each influencing factor is quantified and given different weights according to its sensitivity, and the fuzzy analogy prediction method is adopted to predict the seismic damage of group houses. The structural finite element analysis software SAP is used to predict, analyze and calculate the earthquake damage of buildings. By calculating the inter-story displacement angle, the seismic performance of some important buildings is evaluated by simplified evaluation method. The results show that the method can meet the requirements of the compilation of comprehensive seismic disaster prevention planning for cities.

Keywords

Performance testing, Seismic performance of buildings, Earthquake damage prediction

Cite This Paper

Liang LI. Research on Seismic Performance and Earthquake Damage Prediction of Buildings Based on Performance Testing. Academic Journal of Engineering and Technology Science (2019) Vol. 2 Issue 5: 9-17. https://doi.org/10.25236/AJETS.2019.020502.

References

[1] Hu Ying, Pei Lijian, Han Chunxiu. (2019). Research on seismic performance evaluation method of building masonry structure based on BIM [J]. Chinese Journal of Earthquake Engineering, no. 1, pp. 221-226.
[2] Niu Yanling, Wang Jiening. (2019). Experimental study on seismic performance of optimized retaining wall for landscape architecture [J]. Chinese Journal of Earthquake Engineering, no. 3, pp. 596-600.
[3] Wei Xinghan, Xia Shoushen, Zhang Yingzhou, et al. (2017). Study on lateral seismic performance of railway simply-supported steel truss bridges [J]. Railway Construction, no. 3, pp. 29-32.
[4] Xue Jianyang, Lu Peng, Dong Xiaoyang. (2017). ABAQUS Finite Element Analysis of Seismic Performance of Crooked Buckwheat Timber in Ancient Buildings [J]. World Earthquake Engineering, vol. 33, no. 4, pp. 11-17.
[5] Wu Yi, Lin Zhufan, Yang Chun, et al. (2017). Seismic vulnerability analysis of steel reinforced concrete frame-supported shear wall structure [J]. Building Structure, no. S2, pp. 345-350.
[6] Wen Jian, Hu Zheng. (2019). Analysis of seismic performance of wooden structures based on finite element numerical analysis and its application in buildings [J]. Chinese Journal of Earthquake Engineering, no. 3, pp. 588-595.
[7] Liu Yujuan, Liang Yiwen, Cao Ning. (2019). Optimization analysis of slab thickness on seismic performance of structures with transition layer [J]. Low Temperature Building Technology, no. 4, pp. 38-42.
[8] Yang Guang, Xie Hengyan, Zhang Zhaoqiang, et al. (2017). Experimental research and progress on seismic performance of super high-rise hybrid structures [J]. Heilongjiang Science and Technology Information, no. 11, pp. 227-227.
[9] Liu Hang, Wang Sheng, Wang Haishen, et al. (2018). Study on seismic performance of prestressed self-resetting fabricated concrete frame joints [J]. Architecture Technology, vol. 49, no. 11, pp. 50-53.
[10] Zhangyan Yu, Deyuan Zhou, Changchang Guo, et al. (2017). Study on seismic performance and improvement methods of short-limb shear wall structure [J]. Building Structure, no. S2, pp. 381-386.
[11] Zhou Xuejun, Wei Fangshuai, Li Mingyang, et al. (2018). Experimental study on seismic performance of reinforced composite external formwork insulation system [J]. Journal of Shandong Jianzhu University, no. 03, pp. 1-6.