利用具有空间和时间刚度变化的多自由度系统的频谱响应进行损伤量化:剪切型框架的应用

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Sayandip Ganguly, Koushik Roy
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引用次数: 0

摘要

本研究旨在开发一种基于频谱响应的多自由度系统最大破坏强度闭式表达式,其中考虑了刚度的时间和空间变化。刚度的时空变化被纳入公式中,以模拟裂缝的开合机制。此外,还推导出了连续楼层多重损坏严重程度的表达式。为了验证本方法,对一个剪切型框架的数值模型进行了深入研究。从分析中可以看出,将调制频率的频谱振幅纳入公式中可以改善对破坏严重程度的评估。此外,还对一栋 6 层高的钢结构建筑进行了试验,以获得实用的见解,随后又对一栋全尺寸塔楼和一栋带仪器建筑的真实数据进行了案例研究。由于假定的刚度时间变化不是通用的,因此在其他不相容的情况下可能会误导估计破坏量的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Damage quantification using spectral response of a multi-degree-of-freedom system with spatial and temporal stiffness variations: Application to shear-type frames
The present study is aiming to develop a spectral response-based closed-form expression of maximum damage intensity in a multi-degree-of-freedom system considering temporal and spatial variations of stiffness. The time-dependent variation of stiffness is incorporated in the formulation to simulate opening–closing mechanism of crack. In addition, an expression for multiple damage severity at consecutive stories is also derived. For the validation of the present method, numerical model of a shear-type frame is thoroughly investigated. It is observed from the analysis that incorporation of spectral amplitudes at modulated frequencies in the formulation, improves the assessment of damage severity. Further, an experiment on a scale-down 6-story steel building is performed for practical insights followed by two case studies with real data of a full-scale tower and an instrumented building. As the assumed temporal variation of stiffness is not generic, it may mislead the accuracy of estimated damage quantity in other incompatible scenarios.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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