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首页> 外文期刊>Computer-Aided Civil and Infrastructure Engineering >Data-Based Model-Free Hysteretic Restoring Force and Mass Identification for Dynamic Systems
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Data-Based Model-Free Hysteretic Restoring Force and Mass Identification for Dynamic Systems

机译:动态系统基于数据的无模型滞后恢复力和质量识别

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摘要

Most of the currently available vibration-based damage detection approaches identify structural damage in the form of decrease in structural stiffness based on extracted eigenparameters and/or their derivates, and the basic hypothesis behind them is the system should be linear and the mass distribution of the system is usually known. Different from the stiffness degradation, the hysteretic restoring force of a dynamic system provides a more informative and direct description on the initiation and development of damage in structures under dynamic loadings and can be employed to quantitatively evaluate the energy dissipation during vibration. In this study, a data-based model-free hysteretic behavior identification approach with incomplete external excitations was proposed for the identification of structural hysteretic restoring force without the prior knowledge of structural mass distribution and the numerical model of the nonlinearity of the structure. The accuracy and feasibility of the approach for both structural mass and hysteretic behavior identification was illustrated: first, via numerical simulation with a lumped-mass multi-degree-of-freedom structure incorporating nonlinear magnetorheological (MR) dampers and a consistent mass plane truss structure incorporating a pseudo-elastic shape memory alloy model to mimic the nonlinearity in dynamic systems. Second, a dynamic test on a four-story frame structure equipped with MR dampers was carried out and the corresponding dynamic response was employed to validate the reliability of the proposed approach for both structural mass and hysteretic behavior identification. The results show that the proposed approach is capable of identifying different types of structural nonlinearity, which numerical model is unknown, with incomplete inputs and unknown mass distribution. The approach provides a promising way for damage detection and monitoring in the form of hysteretic behavior and energy dissipation for engineering structures under dynamic loadings, which should be dealt with as nonlinear systems.
机译:目前,大多数基于振动的损伤检测方法都基于提取的特征参数和/或其导数,以结构刚度降低的形式识别结构损伤,其背后的基本假设是系统应该是线性的,并且质量分布系统通常是已知的。与刚度退化不同,动力系统的滞后恢复力提供了有关动载荷作用下结构损伤的产生和发展的更丰富,直接的描述,可用于定量评估振动过程中的能量耗散。在这项研究中,提出了一种不具有外部激励的基于数据的无模型滞后行为识别方法,用于识别结构滞后恢复力,而无需事先了解结构质量分布和结构非线性的数值模型。说明了该方法用于结构质量和滞后行为识别的准确性和可行性:首先,通过使用集总质量的多自由度结构的数值模拟,该结构结合了非线性磁流变(MR)阻尼器和一致的质量平面桁架结构结合拟弹性形状记忆合金模型来模拟动态系统中的非线性。其次,对装有MR阻尼器的四层框架结构进行了动力测试,并采用了相应的动力响应,以验证所提出的方法在结构质量和滞后行为识别方面的可靠性。结果表明,该方法能够识别不同类型的结构非线性,数值模型未知,输入不完整,质量分布未知。该方法为动态结构下的工程结构提供了一种滞后行为和能量耗散形式的损伤检测和监测方法,该方法应作为非线性系统处理。

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    Bin Xu; Jia He; Sami F. Masri;

  • 作者单位

    College of Civil Engineering, Hunan University, Changsha, Hunan, China Key Laboratory of Building Safety and Energy Efficiency (Hunan University), Ministry of Education, Changsha, Hunan, China;

    College of Civil Engineering, Hunan University, Changsha, Hunan, China Key Laboratory of Building Safety and Energy Efficiency (Hunan University), Ministry of Education, Changsha, Hunan, China;

    Department of Civil Engineering, University of Southern California, Los Angeles, CA, USA;

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