Development of Seismic Fragility Functions for Reinforced Concrete Buildings Using Damage-Sensitive Features Based on Wavelet Theory

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Structural Control & Health Monitoring Pub Date : 2024-05-11 DOI:10.1155/2024/8754191
Minoo Panahi Boroujeni, Seyed Alireza Zareei, Mohammad Sadegh Birzhandi, Mohammad Mahdi Zafarani
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Abstract

In this study, wavelet-based damage-sensitive features are employed to derive the seismic fragility functions/curves for reinforced concrete moment-resisting frames. Two different wavelet transform functions, namely, Bior3.3 and Morlet mother wavelet families, were applied to absolute acceleration time histories of building frames to extract the wavelet-based and refined wavelet-based damage-sensitive features (i.e., DSF and rDSF). The accuracy of seismic assessments and certainty in predicting structural behavior strongly depend on the specific optimal intensity measures selected, reliability of wavelet-based damage-sensitive features, and some such intensity measures as PGA, PGV, PGD, Sa, and Sdi as the conventionally utilized measures to detect the damage state of a structure. These measures were examined against their statistical properties of efficiency, practicality, proficiency, coefficient of determination, and sufficiency to select the appropriate optimal intensity measures, which were then used to drive the fragility curves disclosing the failure or other damage states of interest. For the purposes of this study, three different concrete moment-resisting frames with four-, eight-, and twelve-story building frames were adopted for implementing the proposed approach. The findings demonstrate that the wavelet-based damage-sensitive features (DSFs/rDSF) simultaneously satisfy all the statistical properties cited above. This is evidenced by the low variance and dispersions observed in the frame damage state predictions by the fragility functions derived from the wavelet-based DSF when compared with those derived from the classical fragility analyses such as spectral acceleration at the first mode period of the structure. A final aspect of the study concerns the superior performance and efficiency of the fragility curves derived by the Bior3.3 wavelet-based DSF over those derived from Morlet wavelet-based DSF.

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利用基于小波理论的损伤敏感特征开发钢筋混凝土建筑的地震脆性函数
本研究采用基于小波的损伤敏感性特征来推导钢筋混凝土力矩抵抗框架的地震脆性函数/曲线。将两种不同的小波变换函数,即 Bior3.3 和 Morlet 母小波族,应用于建筑框架的绝对加速度时间历程,以提取基于小波和精炼小波的损伤敏感特征(即 DSF 和 rDSF)。地震评估的准确性和预测结构行为的确定性在很大程度上取决于所选择的特定最优烈度测量方法、基于小波的损伤敏感特征的可靠性,以及一些烈度测量方法,如 PGA、PGV、PGD、Sa 和 Sdi,它们是检测结构损伤状态的传统测量方法。我们根据这些度量的效率、实用性、熟练程度、判定系数和充分性等统计特性对其进行了检验,以选出合适的最佳强度度量,然后用于绘制脆性曲线,揭示所关注的破坏或其他损坏状态。在本研究中,采用了四层、八层和十二层三种不同的混凝土矩抵抗框架来实施所建议的方法。研究结果表明,基于小波的损伤敏感特征(DSFs/rDSF)同时满足上述所有统计特性。基于小波的 DSF 得出的脆性函数与经典脆性分析(如结构第一模态周期的谱加速度)得出的脆性函数相比,在框架损伤状态预测中观察到的方差和离散度都很低,这就证明了这一点。研究的最后一个方面涉及基于 Bior3.3 小波的 DSF 得出的脆性曲线的性能和效率优于基于 Morlet 小波的 DSF 得出的脆性曲线。
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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
期刊介绍: The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.
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