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dc.contributor.authorJorge Mendoza
dc.contributor.authorElizabeth Bismut
dc.contributor.authorDaniel Straub
dc.contributor.authorJochen Köhler
dc.date.accessioned2022-01-30T22:48:16Z
dc.date.available2022-01-30T22:48:16Z
dc.date.issued3/1/2021
dc.identifier.otherAJRUA6.0001104.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269641
dc.description.abstractThe different phases of a structure’s life-cycle are managed by different teams with little interaction. Correspondingly, the optimization of the individual phases is isolated and does not necessarily result in optimal life-cycle decisions. This motivates the treatment of structural optimization from a broader life-cycle perspective. A framework to enhance the design of structural systems by considering the operation and maintenance phase in the decision process is proposed in this article. The framework focuses on fatigue prone details, but it can be extended to consider other deterioration mechanisms. A hierarchical influence diagram is proposed as an efficient way to represent the probabilistic decision problem while considering system effects, such as the correlation of the deterioration among hot spots. A simple example is presented to illustrate the implementation of the framework. Challenges and potential applications are discussed.
dc.publisherASCE
dc.titleRisk-Based Fatigue Design Considering Inspections and Maintenance
dc.typeJournal Paper
dc.journal.volume7
dc.journal.issue1
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.0001104
dc.journal.fristpage04020055
dc.journal.lastpage04020055-13
dc.page13
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 001
dc.contenttypeFulltext


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