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dc.contributor.authorKöhler, Jochen
dc.contributor.authorHingorani, Ramon
dc.contributor.authorICASP14
dc.date.accessioned2023-08-03T14:02:02Z
dc.date.available2023-08-03T14:02:02Z
dc.date.issued2023
dc.identifier.citationRamon Hingorani, Jochen K�hler, Sustainability potential of risk-informed decisions in structural design, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
dc.descriptionPUBLISHED
dc.description.abstractStructural design codes feature safety concepts that are highly generalized to make them simple and applicable to a large variety of structures at the same time. This leads to structures that are sufficiently safe but where structural material is not utilized in an optimal manner. For a sustainable future, this is not good enough. We need to unlock the potential offered by advanced risk and reliability-based methods in order to utilize our resources as efficient as possible. The paper illustrates this potential in the context of a case-study: the design of building floor structures with steel beams and hollow-core slabs. Assuming different member geometries, material properties and load scenarios, a representative set of such systems is defined and designed according to the partial factor method in the Eurocodes. The significant benefit of risk-informed decision approaches compared to these standardised design rules is demonstrated and quantified in terms of costs, material consumption and CO2 emissions.
dc.language.isoen
dc.relation.ispartofseries14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
dc.rightsY
dc.titleSustainability potential of risk-informed decisions in structural design
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/2262/103592


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

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