Low velocity impact performance of concrete and composite sub structural members using ANN based application with optimal fea generated data

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dc.contributor.authorSarkar, Sajal
dc.date.accessioned2023-09-20T06:13:34Z
dc.date.available2023-09-20T06:13:34Z
dc.date.issued2023-09
dc.identifier.urihttp://hdl.handle.net/123456789/2900
dc.language.isoenen_US
dc.publisherIndian Institute of Technology (Indian School of Mines) Dhanbaden_US
dc.subjectReinforced concrete (RC) beamen_US
dc.subjectConcrete-filled steel tube (CFST)en_US
dc.subjectLow velocity impacten_US
dc.subjectFinite element simulationen_US
dc.subjectConcrete damage plasticity (CDP)en_US
dc.subjectArtificial neural network (ANN)en_US
dc.subjectCIVen_US
dc.subjectPh.Den_US
dc.subjectPH2585en_US
dc.titleLow velocity impact performance of concrete and composite sub structural members using ANN based application with optimal fea generated dataen_US
dc.typeThesisen_US
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