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Multi-objective optimization of underground car park design for tenability under fire-induced smoke

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dc.citedby9
dc.contributor.authorTharima A.F.en_US
dc.contributor.authorRahman M.M.en_US
dc.contributor.authorYusoff M.Z.en_US
dc.contributor.authorKueh A.B.H.en_US
dc.contributor.authorid57197810892en_US
dc.contributor.authorid55328831100en_US
dc.contributor.authorid7003976733en_US
dc.contributor.authorid16202991500en_US
dc.date.accessioned2023-05-29T07:26:49Z
dc.date.available2023-05-29T07:26:49Z
dc.date.issued2019
dc.descriptionDesign of experiments; Fires; Garages (parking); Multiobjective optimization; Surface properties; Temperature; Critical velocities; Desirability function; Fire dynamics simulator; Performance based approach; Response surface methodology; Smoke; design method; experimental design; fire; optimization; performance assessment; response surface methodology; simulator; smoke; temperature effecten_US
dc.description.abstractThe effects of the inclusion of design factors in optimization such as ceiling height, beam span length, transversal beam depth, longitudinal beam depth, and extraction fan rate on the tenability of car parks during fire were studied. Fire Dynamic Simulator (FDS) was employed as the simulation tool for response generation, from which the preliminary simulation results were firstly compared with published experimental data for validation. Responses such as smoke descent time, critical velocity, and temperature were optimized using the Response Surface Methodology (RSM). Thirty-two FDS models were constructed using the Central Composite Design (CCD) method and second-order models were formulated. The predicted responses from the second-order models were in good agreement with those obtained from FDS. In the optimized design, the smoke descent time was increased by 191.08% and the critical velocity was reduced by 61.67%. Meanwhile, the change of temperature was marginal. Moreover, by examining the flow result, the employment of two longitudinal beams from the optimized design could effectively channel the hot gasses to the downstream region. Overall, it was found that the presence of beams combined with the FDS statistical analysis could improve the tenability of enclosed car parks during fire. � 2018 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.tust.2018.12.011
dc.identifier.epage230
dc.identifier.scopus2-s2.0-85059129042
dc.identifier.spage220
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059129042&doi=10.1016%2fj.tust.2018.12.011&partnerID=40&md5=cb512a3956baa175fc916b47be1add1e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24764
dc.identifier.volume85
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleTunnelling and Underground Space Technology
dc.titleMulti-objective optimization of underground car park design for tenability under fire-induced smokeen_US
dc.typeArticleen_US
dspace.entity.typePublication
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