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TIME DOMAIN DATA-BASED MODEL FREE STRUCTURAL NONLINEAR PERFORMANCE IDENTIFICATION

机译:基于时域数据的模型自由结构非线性性能识别

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摘要

In fact, nonlinearity is generic and may arise in a damaged engineering structure. For example, the subsequently open and close of cracks in concrete structures under dynamic loadings make the vibration behavior nonlinear. However, nonlinear dynamical systems theory is far less established than linear system. Usually, the damage is represented by the decrease in structural stiffness and most of the currently available vibration-based system identification and damage detection approaches are based on modal parameters, namely the natural frequencies, mode shapes and damping ratios, and/or their derivations, which are only suitable for linear systems and the basis of modal analysis is no longer valid in the presence of nonlinearity. It has been widely recognized that one of the major challenges in damage detection, early warning and damage prognosis is to obtain reasonably accurate identification of minor nonlinearity such as hysteresis performance of structural members under dynamic excitations which is the direct indicator of damage initiation and development. In this study, a data-based model free nonlinearity identification approach in the form of hysteresis using structural dynamic response and complete and incomplete excitation measurement time series was proposed and validated experimentally with a 4-story frame structure equipped with smart devices of magneto-rheological (MR) dampers to simulate nonlinear performance. Firstly, as an optimization method, the least-squares technique was employed to identify the system matrices of an equivalent linear system of the nonlinear structure model basing on the excitation force by hammer and the corresponding vibration measurements; and secondly, the nonlinear restoring force of the structure was identified and compared with the test measurements finally. Results show that the proposed data-based approach is capable of identifying the nonlinear behavior of engineering structures and present an applicable way for the evaluation of structure damage initiation and development under dynamic loads.
机译:实际上,非线性是普遍的,并且可能会在受损的工程结构中出现。例如,随后在动态载荷下混凝土结构裂缝的打开和闭合使振动行为呈非线性。但是,非线性动力学系统理论远不如线性系统成立。通常,损伤是由结构刚度的降低表示的,目前大多数基于振动的系统识别和损伤检测方法都是基于模态参数,即固有频率,模态形状和阻尼比,和/或其推导,它们仅适用于线性系统,而在存在非线性的情况下,模态分析的基础不再有效。众所周知,损坏检测,早期预警和损坏预测中的主要挑战之一是获得合理准确的轻微非线性识别,例如动态激励下结构构件的滞后性能,这是损坏发生和发展的直接指标。在这项研究中,提出了一种基于滞后形式的基于数据的无模型非线性识别方法,该方法使用结构动力响应以及完整和不完整的励磁测量时间序列,并通过装有磁流变智能设备的4层框架结构进行了实验验证(MR)阻尼器来模拟非线性性能。首先,作为一种优化方法,利用最小二乘法基于锤子的激励力和相应的振动测量值来确定非线性结构模型的等效线性系统的系统矩阵。其次,确定了该结构的非线性恢复力,并与测试结果进行了比较。结果表明,所提出的基于数据的方法能够识别工程结构的非线性行为,并为评估动态载荷下结构损伤的萌生和发展提供了一种适用的方法。

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