厚板
结构工程
梁(结构)
延展性(地球科学)
帧(网络)
失效模式及影响分析
钢筋混凝土
蒙特卡罗方法
有限元法
栏(排版)
材料科学
工程类
复合材料
数学
蠕动
统计
机械工程
连接(主束)
作者
Mengxue Guo,Hua Huang,Wei Zhang,Chunliang Xue,Min Huang
出处
期刊:Journal of Structural Engineering-asce
[American Society of Civil Engineers]
日期:2022-06-27
卷期号:148 (9)
被引量:101
标识
DOI:10.1061/(asce)st.1943-541x.0003423
摘要
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.
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