Počet záznamů: 1
Assessment of RC frame capacity subjected to a loss of corner column
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SYSNO ASEP 0559946 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Assessment of RC frame capacity subjected to a loss of corner column Tvůrce(i) Guo, M. (CN)
Huang, H. (CN)
Zhang, Wei (UTAM-F) RID, ORCID, SAI
Xue, C. (CN)
Huang, M. (CN)Celkový počet autorů 5 Číslo článku 04022122 Zdroj.dok. Journal of Structural Engineering-Asce. - : American Society of Civil Engineers - ISSN 0733-9445
Roč. 148, č. 9 (2022)Poč.str. 15 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova progressive collapse ; corner column ; reinforced concrete (RC) structure ; machine learning ; peak resistance capacity ; shapely additive explanations (SHAP) values Obor OECD Civil engineering Způsob publikování Omezený přístup Institucionální podpora UTAM-F - RVO:68378297 UT WOS 000825795000011 EID SCOPUS 85133502328 DOI 10.1061/(ASCE)ST.1943-541X.0003423 Anotace 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. Pracoviště Ústav teoretické a aplikované mechaniky Kontakt Kulawiecová Kateřina, kulawiecova@itam.cas.cz, Tel.: 225 443 285 Rok sběru 2023 Elektronická adresa https://doi.org/10.1061/(ASCE)ST.1943-541X.0003423
Počet záznamů: 1