Performance-based life-cycle assessments of a resilient bridge system equipped with smart bearings

IF 2.4 3区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
D. Liang, Honglei Wu, Xi You, Hang Yang, Hao Liang
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引用次数: 2

Abstract

A resilient bridge system with smart bearings, that is, shape memory alloy (SMA)-cable-based bearings, is proposed. Its superior resilience property over the conventional bridge system still lacks a practical assessment approach. This paper aims to conduct a comparative performance assessment of both resilient and conventional bridge systems regarding fragility and life-cycle loss aspects. The quasi-static test on the smart bearing prototype is firstly conducted. The cloud method is subsequently utilized to carry out a fragility assessment on the bridge system with uncertainties (e.g. damping, mass, friction factor, and length of slack cable). The result shows that the damage probabilities of the smart bearing at component level and the resilient bridge at system level are both dramatically alleviated although there is a moderate increase of the reinforced concrete pier at component level. Additionally, the analysis result reveals that the life-cycle economic loss of the resilient bridge system is remarkably reduced only at the cost of a slight increment in construction. This study tries to provide decision-makers with a more comprehensive understanding of the seismic superiority of the proposed resilient bridge system with smart bearings and to promote its application in engineering practice for resilience enhancement.
基于性能的智能轴承弹性桥梁系统生命周期评估
提出了一种具有智能轴承的弹性桥梁系统,即形状记忆合金(SMA)-基于电缆的轴承。其优于传统桥梁体系的弹性性能,目前还缺乏一种实用的评价方法。本文旨在对弹性和传统桥梁系统在脆弱性和生命周期损失方面进行比较性能评估。首先对智能轴承样机进行了准静态试验。随后利用云法对具有不确定性(如阻尼、质量、摩擦系数、松弛索长度)的桥梁系统进行易损性评估。结果表明:构件级智能轴承和体系级弹性桥梁的损伤概率均显著降低,而构件级钢筋混凝土墩台的损伤概率略有增加;此外,分析结果表明,弹性桥梁体系的生命周期经济损失显著降低,代价是施工的轻微增加。本研究旨在使决策者更全面地了解所提出的智能支座弹性桥梁体系的抗震优势,并促进其在工程实践中的应用。
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来源期刊
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures 工程技术-材料科学:综合
CiteScore
5.40
自引率
11.10%
发文量
126
审稿时长
4.7 months
期刊介绍: The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.
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