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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorKryven, I.V.
dc.contributor.authorBrouwer, Nynke
dc.date.accessioned2021-11-10T00:00:23Z
dc.date.available2021-11-10T00:00:23Z
dc.date.issued2021
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/206
dc.description.abstractEnvironmental sustainability is seldomly considered at the design phase of concrete structures, which mainly concerns optimizing the structural mechanics properties. In this project we propose and implement a hybrid optimization protocol that solves the structural mechanics optimization along with minimization of environmental costs. These hybrid method consists of two optimization phases: the first gives a fast and crude estimation of the concrete resistance based on a data assimilation technique, the second refines the results with more expensive predictive modelling. After comparing our protocol against various existing optimization methods we conclude that our hybrid optimization leads to more sustainable designs without a compromise on mechanical properties. Surprisingly, benchmarking our technique on several real world datasets revealed that having data-assimilated preconditioner not only improves environmental costs but also leads to designs with better mechanical properties in less time.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectOn the minimization of the environmental cost of a concrete structure. The reinforcement and material usage of a concrete structure are optimized in the design phase, subject to the Ultimate Limit State (ULS).
dc.titleReducing the environmental cost of concrete constructions
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsconcrete design optimization, hybrid optimization, data assimilation
dc.subject.courseuuMathematical Sciences
dc.thesis.id835


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