The evaluation of structural reliability under earthquake loading is a particularly complex and computationally demanding process with only limited, often ill-suited software available to engineers and researchers. To address this deficiency, a new software application called PSResponse was developed using a Monte Carlo approach to determine the probabilistic distribution of selected dynamic response quantities of single-degree-of-freedom and simple multiple-degree-of-freedom stochastic structures subjected to a large ensemble of generated earthquake motions. Knowing the probabilistic response of a structure an accurate assessment of a specific reliability measure can be made from the probability of exceeding a chosen threshold. A brief description of the components and user-interface of PSResponse is presented along with an example application that examines the importance of the hysteretic assumption in inelastic dynamic reliability analysis.
{"title":"Probabilistic analysis software for structural seismic response","authors":"B. Sjoberg","doi":"10.14288/1.0063795","DOIUrl":"https://doi.org/10.14288/1.0063795","url":null,"abstract":"The evaluation of structural reliability under earthquake loading is a particularly complex and computationally demanding process with only limited, often ill-suited software available to engineers and researchers. To address this deficiency, a new software application called PSResponse was developed using a Monte Carlo approach to determine the probabilistic distribution of selected dynamic response quantities of single-degree-of-freedom and simple multiple-degree-of-freedom stochastic structures subjected to a large ensemble of generated earthquake motions. Knowing the probabilistic response of a structure an accurate assessment of a specific reliability measure can be made from the probability of exceeding a chosen threshold. A brief description of the components and user-interface of PSResponse is presented along with an example application that examines the importance of the hysteretic assumption in inelastic dynamic reliability analysis.","PeriodicalId":339901,"journal":{"name":"Reliability and Optimization of Structural Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126093964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Life-cycle cost analysis of bridge structures considering seismic risk","authors":"H. Furuta, K. Koyama, M. Dogaki, H. Sugimoto","doi":"10.1201/9781003078876-5","DOIUrl":"https://doi.org/10.1201/9781003078876-5","url":null,"abstract":"","PeriodicalId":339901,"journal":{"name":"Reliability and Optimization of Structural Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126795694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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