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基于有限元输出数据建模的CTRC柱通用破坏规律研究

Research on the General Failure Law of a CTRC Column by Modeling FEM Output Data.

作者信息

Shen Zijie, Liu Bai, Zhou Guangchun

机构信息

Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China.

出版信息

Materials (Basel). 2022 Sep 1;15(17):6058. doi: 10.3390/ma15176058.

DOI:10.3390/ma15176058
PMID:36079437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9457239/
Abstract

In this paper, a finite element model (FEM) is developed based on a set of circular steel tube reinforced concrete (CTRC) columns with axial compression and eccentric compression tests. The stressing state characteristics of the FEM are modeled in the form of characteristic pairs (mode-characteristic parameters) based on the structural stressing state theory and the proposed correlation modeling method. The slope increasing criterion is applied to the correlation characteristic parameter curve to obtain the characteristic point Q where the CTRC stressing state undergoes a qualitative change, and the characteristic point Q is defined as the new failure load point of the CTRC column. By selecting the element strain energy density at different locations of the FEM for correlation stressing state modeling and dividing the correlation stressing state sub-modes (concrete, steel tube, vertical reinforcement, and stirrup reinforcement), the structural stressing state theory and the rationality of the proposed correlation stressing state modeling method are verified. In addition, the certainty and reasonableness of the failure load points of the CTRC columns are revealed and verified.

摘要

本文基于一组圆形钢管混凝土(CTRC)柱的轴心受压和偏心受压试验,建立了有限元模型(FEM)。基于结构受力状态理论和提出的相关建模方法,以特征对(模态-特征参数)的形式对有限元模型的受力状态特性进行建模。将斜率增加准则应用于相关特征参数曲线,得到CTRC受力状态发生质的变化的特征点Q,并将特征点Q定义为CTRC柱的新破坏荷载点。通过选择有限元模型不同位置处的单元应变能密度进行相关受力状态建模,并划分相关受力状态子模态(混凝土、钢管、纵筋和箍筋),验证了结构受力状态理论和所提出的相关受力状态建模方法的合理性。此外,揭示并验证了CTRC柱破坏荷载点的确定性和合理性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/d6549362b82c/materials-15-06058-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/47ce550048a0/materials-15-06058-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/8a6d364400e7/materials-15-06058-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/946fd7f1cb43/materials-15-06058-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/eb5f5bfda3c0/materials-15-06058-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/112d83f79c6c/materials-15-06058-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/5a8f0d20151f/materials-15-06058-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/274c240586ff/materials-15-06058-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/dcf25920e3ad/materials-15-06058-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/d6549362b82c/materials-15-06058-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/47ce550048a0/materials-15-06058-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/8a6d364400e7/materials-15-06058-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/946fd7f1cb43/materials-15-06058-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/eb5f5bfda3c0/materials-15-06058-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/112d83f79c6c/materials-15-06058-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/5a8f0d20151f/materials-15-06058-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/274c240586ff/materials-15-06058-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/dcf25920e3ad/materials-15-06058-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b934/9457239/d6549362b82c/materials-15-06058-g009.jpg

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引用本文的文献

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