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dc.contributor.authorMengxue Guo
dc.contributor.authorHua Huang
dc.contributor.authorWei Zhang
dc.contributor.authorChunliang Xue
dc.contributor.authorMin Huang
dc.date.accessioned2022-08-18T12:30:15Z
dc.date.available2022-08-18T12:30:15Z
dc.date.issued2022/06/27
dc.identifier.other%28ASCE%29ST.1943-541X.0003423.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286722
dc.description.abstractIn this paper, three one-third scale reinforced concrete (RC) beam-column-slab structure specimen tests were conducted to investigate the collapse mechanisms under a loss of the corner column, including a frame with slab (S-COR), a frame with slab and secondary beams (SS-COR), and a frame without slab (NS-COR). The slab and secondary beam’s contributions were investigated by comparing the SS-COR and NS-COR, SS-COR, and S-COR specimens. The results show that the RC slab significantly enhanced the load resistance. Only a slight increase in peak resistance capacity of the SS-COR specimen was observed, while the ductility improved obviously due to the existence of secondary beams. The failure mode of the SS-COR frame is different from that of the S-COR frame: No concrete failure line occurs on the slab bottom, and the cracks develop entirely on the slab top. Moreover, based on the test results, finite element models (FE) were updated by adapting the OpenSeespy, which shows a good fit between the test curves and simulation results. Finally, 1,000 samples considering the uncertainty parameters were generated using Monte Carlo sampling to better understand the effect of uncertainty on the structure response. Data-driven models based on machine learning were used to predict the peak resistance capacity of the RC structures with slab and secondary beams.
dc.publisherASCE
dc.titleAssessment of RC Frame Capacity Subjected to a Loss of Corner Column
dc.typeJournal Article
dc.journal.volume148
dc.journal.issue9
dc.journal.titleJournal of Structural Engineering
dc.identifier.doi10.1061/(ASCE)ST.1943-541X.0003423
dc.journal.fristpage04022122
dc.journal.lastpage04022122-15
dc.page15
dc.treeJournal of Structural Engineering:;2022:;Volume ( 148 ):;issue: 009
dc.contenttypeFulltext


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