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作 者:秦苗珺 赵衍刚 卢朝辉[1] QIN Miaojun;ZHAO Yan'gang;LU Zhaohui(Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China;Department of Architecture,Kanagawa University,Yokohama 221-0806,Japan)
机构地区:[1]北京工业大学城市建设学部,北京100124 [2]神奈川大学工学部建筑学科,日本横滨221-0806
出 处:《地震工程学报》2023年第5期1241-1250,共10页China Earthquake Engineering Journal
基 金:国家自然科学基金(51738001,51820105014,U1934217)。
摘 要:为考虑核电厂结构参数不确定对结构地震易损性的影响,基于一次二阶矩法(First-Order Second-Moment, FOSM)进行地震易损性分析。以核电结构中混凝土材料的密度、弹性模量,泊松比和抗拉强度为不确定参数,建立有限元模型,并与试验结果对比,以验证模型的准确性。基于有限元数值模拟方法,通过增量动力法计算核电厂模型在多条地震记录下不同峰值加速度的动力响应,同时基于FOSM得到参数不确定下的对数标准差,进而得到核电厂结构考虑参数不确定的地震易损性曲线。结果表明,结构参数的不确定对核电结构有一定的影响,未考虑参数不确定的地震易损性结果会低估结构的失效概率。该方法可为核电结构基于参数不确定下的易损性分析提供一定的理论依据与实用价值。To consider the impact of structural parameter uncertainties on the seismic fragility of nuclear power plants,a seismic fragility analysis based on the first-order second-moment method(FOSM)was carried out in this research.The uncertainties of the four concrete parameters of nuclear power structures were investigated:the density,elastic modulus,Poisson's ratio,and tensile strength of the concrete material.A finite element model was established,and the results were compared with test results to verify the model accuracy.Based on the finite element numerical simulation,dynamic responses of the nuclear power plant model under multiple seismic records with different peak accelerations were calculated using the incremental dynamic analysis method.Meanwhile,the logarithmic standard deviation under parameter uncertainties was obtained on the basis of FOSM to evaluate the seismic fragility curves of nuclear power structures.Results indicated that structural parameter uncertainties have certain influences on nuclear power structures,and seismic fragility results that overlook such uncertainties underestimate structural failure probabilities.This method can provide a theoretical basis and offers practical value for the fragility analysis of nuclear power structures considering parameter uncertainties.
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