Abstract

Typical individual structure and group buildings with different classification features have abundant seismic damage data. To fully utilize the theoretical seismic damage data of individual structure and the statistical seismic damage data for group buildings, establish Pushover analysis model of group buildings with certain vulnerability characteristics and improve the reliability of seismic performance of corresponding classified group buildings characterized by individual structure, a method for establishing equivalent Pushover models of group buildings based on the SPO2IDA inversion algorithm is proposed, and the theoretical Pushover curve of characterized typical structure is updated through the Bayesian theory using the equivalent individual structure model established by seismic damage statistical data, and then an vulnerability analysis model that complies with seismic damage statistical laws is established. The research results show that the SPO model of equivalent individual structure of group buildings can be established based on the seismic damage statistical characteristics of buildings. The maximum accuracy and minimum accuracy of the median seismic intensity of the vulnerability model established by the Pushover model obtained after Bayesian revision can be improved by 45% and 20% respectively. This paper proposes a method to improve the accuracy of earthquake damage results of group buildings characterized by individual structure from the perspective of inherent structural attributes, which can provide more economically reasonable design solutions for buildings with specific attribute classification in relevant regions.

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