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循环加载下钢筋混凝土剪力墙混凝土本构模型的有效预测

Effective Prediction of Concrete Constitutive Models for Reinforced Concrete Shear Walls under Cyclic Loading.

作者信息

To Quoc Bao, Shin Jiuk, Kim Sung Jig, Kim Hye-Won, Lee Kihak

机构信息

Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Republic of Korea.

Department of Architectural Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea.

出版信息

Materials (Basel). 2024 Apr 18;17(8):1877. doi: 10.3390/ma17081877.

Abstract

One of the most challenging elements of modeling the behaviour of reinforced concrete (RC) walls is combining realistic material models that can capture the observable behaviour of the physical system. Experiments with realistic loading rates and pressures reveal that steel and concrete display complicated nonlinear behaviour that is challenging to represent in a single constitutive model. To investigate the response of a reinforced concrete structure subjected to dynamic loads, this paper's study is based on many different material models to assess the advantages and disadvantages of the models on 2D and 3D RC walls using the LS-DYNA program. The models consisted of the KCC model and the CDP model, which represented plasticity and distinct tensile/compressive damage models, and the Winfrith model, which represented plasticity and the smeared crack model. Subsequently, the models' performances were assessed by comparing them to experimental data from reinforced concrete structures, in order to validate the accuracy of the overall behaviour prediction. The Winfrith model demonstrated satisfactory results in predicting the behaviour of 2D and 3D walls, including maximum strength, stiffness deterioration, and energy dissipation. The method accurately predicted the maximum strength of the Winfrith concrete model for the 2D wall with an error of 9.24% and for the 3D wall with errors of 3.28% in the X direction and 5.02% in the Y direction. The Winfrith model demonstrated higher precision in predicting dissipation energy for the 3D wall in both the X and Y directions, with errors of 6.84% and 6.62%, correspondingly. Additional parametric analyses were carried out to investigate structural behaviour, taking into account variables such as concrete strength, strain rate, mesh size, and the influence of the element type.

摘要

对钢筋混凝土(RC)墙的行为进行建模,最具挑战性的因素之一是结合能够捕捉物理系统可观测行为的逼真材料模型。对实际加载速率和压力进行的实验表明,钢材和混凝土呈现出复杂的非线性行为,这使得在单一本构模型中表示这种行为具有挑战性。为了研究钢筋混凝土结构在动态荷载作用下的响应,本文的研究基于许多不同的材料模型,使用LS-DYNA程序评估这些模型在二维和三维RC墙上的优缺点。这些模型包括代表塑性和不同拉伸/压缩损伤模型的KCC模型和CDP模型,以及代表塑性和弥散裂缝模型的温弗里思模型。随后,通过将这些模型与钢筋混凝土结构的实验数据进行比较来评估模型的性能,以验证整体行为预测的准确性。温弗里思模型在预测二维和三维墙的行为方面表现出令人满意的结果,包括最大强度、刚度退化和能量耗散。该方法准确预测了二维墙温弗里思混凝土模型的最大强度,误差为9.24%,对于三维墙,在X方向的误差为3.28%,在Y方向的误差为5.02%。温弗里思模型在预测三维墙X和Y方向的耗能方面表现出更高的精度,相应误差分别为6.84%和6.62%。还进行了额外的参数分析,以研究结构行为,考虑了混凝土强度、应变率、网格尺寸和单元类型的影响等变量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/985f/11051482/b3c0df07de7b/materials-17-01877-g001.jpg

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