Pub Date : 2021-10-01DOI: 10.1016/j.ress.2021.108123
Juseong Lee, M. Mitici
{"title":"Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling","authors":"Juseong Lee, M. Mitici","doi":"10.1016/j.ress.2021.108123","DOIUrl":"https://doi.org/10.1016/j.ress.2021.108123","url":null,"abstract":"","PeriodicalId":21122,"journal":{"name":"Reliab. Eng. Syst. Saf.","volume":"26 1","pages":"108123"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76283134","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}
Pub Date : 2021-10-01DOI: 10.1016/j.ress.2021.107766
R. Szlapczynski, J. Szlapczynska
{"title":"A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems","authors":"R. Szlapczynski, J. Szlapczynska","doi":"10.1016/j.ress.2021.107766","DOIUrl":"https://doi.org/10.1016/j.ress.2021.107766","url":null,"abstract":"","PeriodicalId":21122,"journal":{"name":"Reliab. Eng. Syst. Saf.","volume":"3 1","pages":"107766"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74177742","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}
Pub Date : 2021-10-01DOI: 10.1016/j.ress.2021.108137
F. Pugliese, R. Risi, L. Sarno
{"title":"Reliability assessment of existing RC bridges with spatially-variable pitting corrosion subjected to increasing traffic demand","authors":"F. Pugliese, R. Risi, L. Sarno","doi":"10.1016/j.ress.2021.108137","DOIUrl":"https://doi.org/10.1016/j.ress.2021.108137","url":null,"abstract":"","PeriodicalId":21122,"journal":{"name":"Reliab. Eng. Syst. Saf.","volume":"19 1","pages":"108137"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76834361","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}
Pub Date : 2021-10-01DOI: 10.1016/J.RESS.2021.107731
Mohammed Taleb-berrouane, F. Khan, K. Hawboldt
{"title":"Corrosion risk assessment using adaptive bow-tie (ABT) analysis","authors":"Mohammed Taleb-berrouane, F. Khan, K. Hawboldt","doi":"10.1016/J.RESS.2021.107731","DOIUrl":"https://doi.org/10.1016/J.RESS.2021.107731","url":null,"abstract":"","PeriodicalId":21122,"journal":{"name":"Reliab. Eng. Syst. Saf.","volume":"28 1","pages":"107731"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82727323","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}
Communities and their supporting civil infrastructure systems can be viewed as an assembly of, often numerous, interacting components. Tools that can identify components relevant for community disaster resilience can help to efficiently allocate limited resources to reach community resilience goals. We use Sobol’ indices to measure the importance of vulnerability and recoverability of components for disaster resilience of communities with interdependent civil infrastructure systems. The initial component importance analysis requires no prior knowledge regarding component’s vulnerability and recoverability. We first rank components based on their importance, using their Sobol’ indices. Secondly, we illustrate how the results of the component importance analysis can be used to improve community disaster resilience. Finally, we use component importance to show how model complexity can be reduced by abstracting less important components.
{"title":"Quantifying component importance for disaster resilience of communities with interdependent civil infrastructure systems","authors":"N. Blagojević, M. Didier, B. Stojadinović","doi":"10.31224/osf.io/hzmy8","DOIUrl":"https://doi.org/10.31224/osf.io/hzmy8","url":null,"abstract":"Communities and their supporting civil infrastructure systems can be viewed as an assembly of, often numerous, interacting components. Tools that can identify components relevant for community disaster resilience can help to efficiently allocate limited resources to reach community resilience goals. We use Sobol’ indices to measure the importance of vulnerability and recoverability of components for disaster resilience of communities with interdependent civil infrastructure systems. The initial component importance analysis requires no prior knowledge regarding component’s vulnerability and recoverability. We first rank components based on their importance, using their Sobol’ indices. Secondly, we illustrate how the results of the component importance analysis can be used to improve community disaster resilience. Finally, we use component importance to show how model complexity can be reduced by abstracting less important components.","PeriodicalId":21122,"journal":{"name":"Reliab. Eng. Syst. Saf.","volume":"82 1","pages":"108747"},"PeriodicalIF":0.0,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77861257","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":"Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk","authors":"J. Jakeman, D. Kouri, Jose Huerta","doi":"10.2172/1807455","DOIUrl":"https://doi.org/10.2172/1807455","url":null,"abstract":"","PeriodicalId":21122,"journal":{"name":"Reliab. Eng. Syst. Saf.","volume":"5 1","pages":"108280"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83678182","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}