Predicting shear failure in reinforced concrete members using a three-dimensional peridynamic framework

Predicting shear failure in reinforced concrete members using a three-dimensional peridynamic framework
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DOI:
10.1016/j.compstruc.2021.106682
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发表时间:
2022-01
影响因子:
4.7
通讯作者:
M. Hobbs;G. Hattori;J. Orr
M. Hobbs;G. Hattori;J. Orr
中科院分区:
工程技术2区
文献类型:
--
作者:
M. Hobbs;G. Hattori;J. Orr

文献摘要

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设计规范中的假设可能导致对钢筋混凝土构件抗剪强度的非保守预测。经验方法的局限性促进了数值技术的发展和使用。为了预测钢筋混凝土构件的剪切破坏,建立了一个基于粘结的三维动力分析框架。根据已有的实验结果对该框架的预测精度和通用性进行了评估。对9根表现出多种破坏模式的钢筋混凝土梁进行了建模。剪跨深比系统地从1到8变化,以便于研究不同的荷载传递机制和破坏模式。到目前为止,像这样的全面验证研究在围产期文献中还没有。采用双线性本构关系,并通过两级网格加密验证了模型的敏感性。实验和数值失效载荷之间的预测误差从+3%到−57%,突显了针对一系列问题进行验证的重要性。结果表明,该模型考虑了许多影响抗剪和抗弯的因素。通过比较期望的载荷传递机制和预测误差,对动态模型的性能和不足有了新的认识。
The assumptions made in design codes can result in unconservative predictions of shear strength for reinforced concrete members. The limitations of empirical methods have prompted the development and use of numerical techniques. A three-dimensional bond-based peridynamic framework is developed for predicting shear failure in reinforced concrete members. The predictive accuracy and generality of the framework is assessed against existing experimental results. Nine reinforced concrete beams that exhibit a wide range of failure modes are modelled. The shear-span-to-depth ratio is systematically varied from 1 to 8 to facilitate a study of different load-transfer mechanisms and failure modes. A comprehensive validation study such as this has until now been missing in the peridynamic literature. A bilinear constitutive law is employed, and the sensitivity of the model is tested using two levels of mesh refinement. The predictive error between the experimental and numerical failure loads ranges from +3% to −57%, highlighting the importance of validation against a series of problems. The results demonstrate that the model captures many of the factors that contribute to shear and bending resistance. New insights into the capabilities and deficiencies of the peridynamic model are gained by comparing the expected load-transfer mechanisms with the predictive error.