Parametric Identification and Empirical Prediction of Hysteresis Model for Shear-critical Reinforced Concrete Columns

In existing reinforced concrete(RC)structures at medium and low seismic fortification intensity areas of China,a large proportion of RC columns are vulnerable to shear failure under earthquake excitation,leading to the loss of axial load capacity,the collapse of the whole building,and then the sever...

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Bibliographic Details
Published inFangzai Jianzai Gongcheng Xuebao no. 3; p. 520
Main Authors Lyu, Xinliang, Ren, Xiaodan, Ning, Chaolie
Format Journal Article
LanguageChinese
Published Nanjing Zhongguo Zaihai Fangyu Xiehui 01.01.2021
Subjects
Axial loads
Casualties
Concrete columns
Design parameters
Earthquakes
Economic impact
Economic models
Empirical equations
Evolutionary algorithms
Evolutionary computation
Hysteresis
Hysteresis models
Parameter identification
Regression analysis
Regression models
Reinforced concrete
Seismic activity
Seismic response
Shear
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Summary:In existing reinforced concrete(RC)structures at medium and low seismic fortification intensity areas of China,a large proportion of RC columns are vulnerable to shear failure under earthquake excitation,leading to the loss of axial load capacity,the collapse of the whole building,and then the severe economic losses and casualties. A simple and efficient hysteresis model is crucial to evaluate the seismic performance of this kind of shear-critical RC columns. In this study,a simplified hysteretic model with seven parameters is first proposed. Then the model parameters involved in the proposed hysteretic model are identified by Differential Evolution(DE)algorithm based on the experiment data of shear-critical RC columns in SERIES database. Finally,empirical prediction equations are developed for critical model parameters of the seven-parameter hysteresis model using the empirical regression analysis method. The investigation reveals that the proposed seven-parameter hysteretic model can predict the inelastorin
ISSN:1672-2132