Influence of cyclic loading on the tensile fracture characteristics of ultra-high performance engineered cementitious composites
Influence of cyclic loading on the tensile fracture characteristics of ultra-high performance engineered cementitious composites
复制标题
循环载荷对超高性能工程水泥基复合材料拉伸断裂特性的影响
DOI：
10.1016/j.conbuildmat.2019.117937
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发表时间：
2020-04
影响因子：
7.4
通讯作者：
Guo Menghuan
中科院分区：
文献类型：
--
作者：
Zhou Yingwu;Zhong Qianli;Xing Feng;Sui Lili;Huang Zhengyu;Guo Menghuan
超高性能工程水泥基复合材料(UHP-ECC)具有近15 Mpa的拉伸强度和近8%的拉伸应变能力，在改善现代基础设施的疲劳性能方面具有很大的潜力。本文对不同疲劳循环次数的超高强度混凝土试件进行了单调加载试验，研究了循环加载比对超高强度混凝土断裂机理的影响。为了评估疲劳加载对材料残余韧性的影响，计算了每种加载方式下的伪应变硬化(PSH)指数。此外，还进行了不同应力水平下的疲劳试验，并将应力水平与疲劳寿命的对应关系与文献中发表的结果进行了比较。提出了一种基于滞后曲线演化的疲劳损伤预测模型。通过深入的试验研究，结合数值模型，旨在为今后超高压ECC结构在重复荷载作用下的设计提供有益的参考。
Ultra-high performance engineered cementitious composite (UHP-ECC) with tensile strength of nearly 15 MPa and tensile strain capacity of nearly 8% exhibits high potential for improving the fatigue performance of modern infrastructures. In this study, monotonic loading tests were performed on UHP-ECC specimens subjected to different number of fatigue cycles and the influence of cyclic loading ratio on the fracture mechanism of UHP-ECC was investigated. In order to evaluate the effect of fatigue loading on the residual toughness of the material, the calculated pseudo strain-hardening (PSH) index was calculated for each loading mode. Furthermore, the fatigue tests at different stress levels were conducted and the corresponding relationship between stress level and fatigue life was compared with that published in literature. Based on the evolution of hysteresis curve, a fatigue damage prediction model was proposed. The thorough experimental investigations, combined with the numerical model, aim to provide useful reference for the future design of UHP-ECC structures subjected to repetitive loading.
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影响因子：
3.2
作者：
Benard Isojeh;M. El-Zeghayar;F. Vecchio
通讯作者：
Benard Isojeh;M. El-Zeghayar;F. Vecchio
DOI：
10.14359/10867
发表时间：
1983-09
期刊：
--
影响因子：
--
作者：
M. Saito;S. lmai
通讯作者：
M. Saito;S. lmai
影响因子：
7.4
作者：
Kequan Yu;Ling-zhi Li;Jiangtao Yu;Yichao Wang;Junhong Ye;Qingfeng Xu
通讯作者：
Kequan Yu;Ling-zhi Li;Jiangtao Yu;Yichao Wang;Junhong Ye;Qingfeng Xu
影响因子：
11.4
作者：
J. Qiu;E. Yang
通讯作者：
J. Qiu;E. Yang
影响因子：
7.4
作者：
Chen, Yixin;Yu, Jing;Leung, Christopher K. Y.
通讯作者：
Leung, Christopher K. Y.