Utilizing a new self-centering hysteresis model to assess the seismic vulnerability of a long-span cable-stayed bridge equipped with SMA wire-based roller bearings.

IF 2.4
Advances in bridge engineering Pub Date : 2022-01-01 Epub Date: 2022-10-02 DOI:10.1186/s43251-022-00064-z
Shuai Li, Hedayati Dezfuli Farshad, Jing Quan Wang, M Shahria Alam
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引用次数: 0

Abstract

A novel shape memory alloy wires-based smart roller bearing (SMA-RBs) has been developed and its cyclic behavior under reverse cyclic loadings has been experimentally investigated. However, its efficacy and performance in enhancing the seismic performance of bridge structures have not been well understood and proven. A new self-centering hysteresis model for SMA-RBs has been proposed to properly simulate their hysteretic behavior, which has been experimentally validated through a pseudo-static test. A methodology is proposed to determine the four damage states of SMA-RB (i.e. slight, moderate, extensive, and collapse) considering the contribution of SMA wires. The smart SMA-RBs are utilized for a cable-stayed bridge in China. The vulnerability of two reference bridges, i.e. the floating system (FS) and rigid system (RS), and one isolated bridge equipped with SMA-RBs (SMA-RBS) are compared at component and system levels. The applicability of three commonly used intensity measures (IMs), i.e. PGA, PGV, and Sa(T1), are evaluated and PGV turns out to be the optimal IM for long-span cable-stayed bridge systems. Results show that incorporating SMA wires in roller bearings can decrease the failure probabilities of the bearing. The piers and towers with SMA-RBs lead to lower seismic fragility over the towers and piers in the reference bridges. The RS is the most vulnerable bridge whereas the SMA-RBS is the least vulnerable bridge among the four bridges. The SMA-RBS experience a much lower collapse damage probability compared to RS ad FS.

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基于自定心滞回模型的SMA钢丝滚子轴承大跨度斜拉桥地震易损性评估
研制了一种基于形状记忆合金丝的智能滚子轴承(SMA-RBs),并对其在反向循环载荷下的循环性能进行了实验研究。然而,其在提高桥梁结构抗震性能方面的效果和性能还没有得到很好的认识和证实。为了更好地模拟SMA-RBs的滞回特性,提出了一种新的SMA-RBs自定心滞回模型,并通过拟静力试验对该模型进行了验证。提出了一种考虑SMA钢丝的作用,确定SMA- rb四种损伤状态(即轻微、中度、广泛和崩溃)的方法。中国某斜拉桥采用了智能SMA-RBs。从构件和系统两个层面比较了浮动体系(FS)和刚性体系(RS)两座参考桥以及安装SMA-RBs的一座隔离桥的脆弱性。对PGA、PGV和Sa(T1)三种常用强度指标的适用性进行了评价,PGV是大跨度斜拉桥体系的最优强度指标。结果表明,在滚子轴承中加入SMA钢丝可以降低轴承的失效概率。采用SMA-RBs的桥墩比参考桥的桥墩具有更低的地震易损性。RS是最脆弱的桥梁,而SMA-RBS是最不脆弱的桥梁。与RS和FS相比,SMA-RBS的坍塌伤害概率要低得多。
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