Publication:
Automated Design of Reinforced Concrete Deep Beams

dc.contributor.advisor Khennane, Amar en_US
dc.contributor.author Islam, S. M. Shahidul en_US
dc.date.accessioned 2022-03-21T11:40:16Z
dc.date.available 2022-03-21T11:40:16Z
dc.date.issued 2012 en_US
dc.description.abstract Recent developments of the finite element method and computer-aided design have reduced the need for long and expensive tests in many areas of engineering; for instance, many numerical simulations of metal-forming processes have been conducted and used extensively for the analysis and design of industrial parts. This is also true for the automobile industry which often simulates crash tests even though it is possible to develop a product solely through prototyping. However, the potential of these techniques has not been fully realised by civil engineering structural designers as the nonlinear finite element is still used as a verification rather than design tool. The aim of this study was to develop an automated design method for optimising the reinforcements in reinforced concrete structures. Deep beam were chosen because their behaviour encompasses all the difficulties associated with modelling reinforced concrete structures under a state of generalised stress, and also for their ease of manufacture and testing. The rationale for the method was that the steel bars carrying the loads once the concrete is cracked should be strained as close as possible to the steel s yield strain. It was found that, in particular, as the amounts of extra steel needed to prevent yielding in the regions did not increase uniformly due to stress redistribution, the developed method could save a substantial amount of reinforcement. To validate the method, three beam specimens with the optimised reinforcement were cast and tested in the laboratory. It was found that the experimental results corroborated those predicted by the automated design method and the design resulted in more ductile behaviour. The measured steel strains were also found to be in the vicinity of the yield strains predicted by the method. Most importantly, it was experimentally proven that the method used the reinforcing steel more efficiently. en_US
dc.identifier.uri http://hdl.handle.net/1959.4/52196
dc.language English
dc.language.iso EN en_US
dc.publisher UNSW, Sydney en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.subject.other Deep beams en_US
dc.subject.other Nonliner finite element analysis en_US
dc.subject.other Automated design en_US
dc.subject.other ABAQUS en_US
dc.title Automated Design of Reinforced Concrete Deep Beams en_US
dc.type Thesis en_US
dcterms.accessRights open access
dcterms.rightsHolder Islam, S. M. Shahidul
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.identifier.doi https://doi.org/10.26190/unsworks/15755
unsw.relation.faculty UNSW Canberra
unsw.relation.originalPublicationAffiliation Islam, S. M. Shahidul, Engineering & Information Technology, UNSW Canberra, UNSW en_US
unsw.relation.originalPublicationAffiliation Khennane, Amar, Engineering & Information Technology, UNSW Canberra, UNSW en_US
unsw.relation.school School of Engineering and Information Technology *
unsw.thesis.degreetype PhD Doctorate en_US
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