基于Probit-Bayes方法的储罐地震易损性研究
发布时间：2019-05-18 20:46
【摘要】：为了研究地震对储罐造成的影响,结合历史上储罐的震害资料,将储罐的损伤程度进行分级,通过采用Bayes方法估计Probit模型参数,再转化成储罐的损伤概率,给出了各个损伤状态下的模型参数及给定地震加速度下储罐的损伤概率,提出了1种基于Probit-Bayes方法估计储罐易损性的计算方法。结果表明:所提出的地震损伤计算方法,能够有效的评估储罐在不同地震加速度下的损伤程度,可为震后储罐的安全评估提供理论依据。
[Abstract]:In order to study the influence of earthquake on storage tank, combined with the earthquake damage data of storage tank in history, the damage degree of storage tank is graded, and the parameters of Probit model are estimated by Bayes method, and then transformed into the damage probability of storage tank. The model parameters under each damage state and the damage probability of the tank under given seismic acceleration are given, and a calculation method based on Probit-Bayes method to estimate the vulnerability of the tank is proposed. The results show that the proposed seismic damage calculation method can effectively evaluate the damage degree of the storage tank under different seismic acceleration, and can provide a theoretical basis for the safety assessment of the storage tank after the earthquake.
【作者单位】： 中国安全生产科学研究院;北京化工大学化学工程学院;
【基金】：国家重点研发计划项目(2016YFC0801500)
【分类号】：TE972;TU352.11
，
本文编号：2480323
[Abstract]:In order to study the influence of earthquake on storage tank, combined with the earthquake damage data of storage tank in history, the damage degree of storage tank is graded, and the parameters of Probit model are estimated by Bayes method, and then transformed into the damage probability of storage tank. The model parameters under each damage state and the damage probability of the tank under given seismic acceleration are given, and a calculation method based on Probit-Bayes method to estimate the vulnerability of the tank is proposed. The results show that the proposed seismic damage calculation method can effectively evaluate the damage degree of the storage tank under different seismic acceleration, and can provide a theoretical basis for the safety assessment of the storage tank after the earthquake.
【作者单位】： 中国安全生产科学研究院;北京化工大学化学工程学院;
【基金】：国家重点研发计划项目(2016YFC0801500)
【分类号】：TE972;TU352.11
，
本文编号：2480323
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