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原文传递 Assessment of RC Frame Capacity Subjected to a Loss of Corner Column
题名: Assessment of RC Frame Capacity Subjected to a Loss of Corner Column
正文语种: eng
作者: Mengxue Guo;Hua Huang;Wei Zhang;Chunliang Xue;Min Huang
作者单位: Chang’an Univ.;Chang’an Univ.;Fujian Univ. of Technology;Chang’an Univ.;Chang’an Univ.
关键词: Progressive collapse;Corner column;Reinforced concrete (RC) structure;Machine learning;Peak resistance capacity;Shapely additive explanations (SHAP) values
摘要: Abstract In 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.
出版年: 2022
期刊名称: Journal of structural engineering
卷: 148
期: 9
页码: 1-15
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