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dc.contributor.authorFußeder, Martin
dc.contributor.authorTeichgräber, Max
dc.contributor.authorStraub, Daniel
dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T13:26:35Z
dc.date.available2023-08-03T13:26:35Z
dc.date.issued2023
dc.identifier.citationMax Teichgr�ber, Martin Fu�eder, Daniel Straub, Investigations on the effect of non-linear models on the reliability of partial safety factor designs, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.descriptionPUBLISHED
dc.description.abstractMost modern structural design codes, such as the Eurocode, are based on the partial safety factor concept. The partial safety factors are calibrated on linear limit states. They provide simplified rules on the application of partial safety factors to non-linear limit states. Teichgr�ber et al. (2023) investigate those rules and their effect on the structural reliability for non-linear structural response functions with a single action based on a novel measure of non-linearity. In this paper we extend our investigations and the measure of non-linearity to the case of non-linear structural response functions with two actions applied. We perform a parameter study and a sensitivity analysis to investigate which characteristics of non-linearities have which effect on the structural reliability given different design options.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleInvestigations on the effect of non-linear models on the reliability of partial safety factor designs
dc.title.alternative14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.typeConference Paper
dc.type.supercollectionscholarly_publications
dc.type.supercollectionrefereed_publications
dc.rights.ecaccessrightsopenAccess
dc.identifier.urihttp://hdl.handle.net/2262/103297


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    14th International Conference on Application of Statistics and Probability in Civil Engineering

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