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钢纤维混凝土梁柱节点抗震性能的数值模拟

Numerical Simulation on Seismic Behavior of Steel Fiber Reinforced Concrete Beam-Column Joints.

作者信息

Shi Ke, Zhu Junpeng, Li Pengfei, Zhang Mengyue, Xue Ru, Zhang Tao

机构信息

School of Civil Engineering and Architecture, Zhengzhou University of Aeronautics, Zhengzhou 450046, China.

Huadian Zhengzhou Mechanical Design Institute Co., Ltd., Zhengzhou 450046, China.

出版信息

Materials (Basel). 2021 Aug 27;14(17):4883. doi: 10.3390/ma14174883.

Abstract

Steel fiber reinforced concrete (SFRC) is a novel material of concrete, which has a great potential to be used in practical engineering. Based on the finite element software Opensees, the main objective of this paper presented a numerical simulation method on investigating the seismic behavior of SFRC-beam-column joints (BCJs) through modifying the calculation method of joint shear and longitudinal reinforcement slip deformations. The feasibility and accuracy of the numerical modeling method were verified by comparing the computed results with experimental data in terms of the hysteresis curves, skeleton curves, feature points, energy dissipation, and stiffness degradation. And then, the influences of some key parameters on the seismic behavior of BCJs were investigated and discussed in detail. The parametric studies clearly illustrated that both adding the steel fiber and increasing the stirrup amount of joint core area could significantly improve the seismic behavior of BCJs. The axial compression ratio had limited influence on the seismic behavior of BCJs. Finally, based on the main factors (steel fiber volume ratio, stirrup amount, and axial compression ratio), a formula for predicting ultimate shear capacity is derived.

摘要

钢纤维混凝土(SFRC)是一种新型的混凝土材料,在实际工程中具有很大的应用潜力。基于有限元软件Opensees,本文的主要目的是通过修改节点抗剪和纵向钢筋滑移变形的计算方法,提出一种研究钢纤维混凝土梁柱节点(BCJ)抗震性能的数值模拟方法。通过将计算结果与试验数据在滞回曲线、骨架曲线、特征点、能量耗散和刚度退化等方面进行比较,验证了数值建模方法的可行性和准确性。然后,详细研究和讨论了一些关键参数对BCJ抗震性能的影响。参数研究清楚地表明,添加钢纤维和增加节点核心区箍筋用量都能显著提高BCJ的抗震性能。轴压比对BCJ的抗震性能影响有限。最后,基于主要因素(钢纤维体积比、箍筋用量和轴压比),推导了预测极限抗剪承载力的公式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5205/8432673/ebeacaf01aad/materials-14-04883-g001.jpg

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