有限元法
本构方程
结构工程
可塑性
复合数
栏(排版)
压缩(物理)
选择(遗传算法)
各向异性
材料科学
计算机科学
工程类
复合材料
人工智能
连接(主束)
物理
量子力学
作者
Kamel Bilal,Mustafa Mahamid,Mohammad Amin Hariri‐Ardebili,Cenk Tort,Travis Ford
出处
期刊:Buildings
[Multidisciplinary Digital Publishing Institute]
日期:2023-07-11
卷期号:13 (7): 1759-1759
被引量:10
标识
DOI:10.3390/buildings13071759
摘要
Concrete, as a complex and anisotropic material, poses challenges in accurately simulating its behavior in numerical simulations. This paper focuses on selecting an appropriate constitutive model for simulating the behavior of a steel–concrete composite column using finite element analysis under compression and push-out tests. Two models are analyzed and compared, namely, Drucker–Prager and concrete damage plasticity. The results demonstrate that the concrete damage plasticity model outperforms the Drucker–Prager model in all six test cases, indicating its superior accuracy in capturing the composite column’s behavior. This study enhances the reliability of numerical simulations for steel–concrete composite structures by choosing the most suitable constitutive model, parallel with extensive sensitivity analysis and model calibration. The findings emphasize the significance of meticulous model selection and precise parameter definition for achieving accurate predictions of concrete behavior. This research contributes to advancing the understanding and modeling of concrete’s intricate behavior in structural analyses.
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