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Probability-based analytical model for predicting the post-earthquake residual deformation of SDOF systems 被引量:1
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作者 Zhang Qin Gong Susu +2 位作者 Gong Jinxin Zhang Guanhua Xi Guangheng 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2022年第2期341-358,共18页
A probability-based analytical model for predicting the seismic residual deformation of bilinear single-degreeof-freedom(SDOF)systems with a kinematic/Takeda hysteretic model is proposed based on a statistical analysi... A probability-based analytical model for predicting the seismic residual deformation of bilinear single-degreeof-freedom(SDOF)systems with a kinematic/Takeda hysteretic model is proposed based on a statistical analysis of the nonlinear time history response,and the proposed model explicitly incorporates the influence of record-to-record variability.In addition,the influence of primary parameters such as the natural vibration period,relative yield force coefficient,stiffness ratio and peak ground acceleration(PGA)on the seismic residual/maximum deformation ratio(dR/dm)are investigated.The results show that significant dispersion of the dR/dm ratio is observed for SDOF systems under different seismic ground motion records,and the dispersion degree is influenced by the model parameters and record-to-record variability.The statistical distribution of the dR/dm results of SDOF systems can be described by a lognormal distribution.Finally,a case study for seismic residual deformation and reparability assessment of the bridge structure designed with a single pier is carried out to illustrate the detailed analytical procedure of the probability-based analytical model proposed in this study. 展开更多
关键词 residual deformation probability model repairability assessment single-degree-of-freedom system nonlinear seismic response record-to-record variability
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