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首页> 外文期刊>Journal of Sound and Vibration >Comparison of restoring force models for the identification of structures with hysteresis and degradation
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Comparison of restoring force models for the identification of structures with hysteresis and degradation

机译:用于识别具有滞后和退化结构的恢复力模型的比较

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摘要

When subjected to events such as earthquakes, engineering structures typically exhibit a nonlinear and hysteretic behaviour with stiffness and strength degradations. Though a reliable evaluation of safety conditions should take into account the nonlinear dynamic and evolutionary nature of the structural response, the experimental identification of a nonlinear behaviour under dynamic and seismic loading is, to date, an open problem. The present research aims at evaluating the potential of different restoring force models for simulating the seismic response of hysteretic structural systems, with special emphasis on the two main problems encountered when applying this approach to full-scale structures under intense excitation: (a) a markedly time-dependent behaviour; (b) need to compare among different restoring force models, either expressed in a parametric or polynomial form. In particular, polynomial models will be formulated both in terms of restoring force and its derivative, in order to present a comprehensive discussion of different strategies. The nonlinear identification technique employed in this paper is required to account for a time-dependent behaviour. In fact, in presence of degradation or any other time-varying characteristics, instantaneous identification certainly constitutes an enhancement of the classical restoring force based approach, and may as well provide checks on the consistency of the assumed models.
机译:当遭受地震等事件的影响时,工程结构通常会表现出非线性和滞后行为,且刚度和强度会下降。尽管对安全条件的可靠评估应该考虑结构响应的非线性动力学和演化特性,但是迄今为止,在动态和地震载荷下进行非线性行为的实验识别仍然是一个悬而未决的问题。本研究旨在评估用于模拟滞后结构系统地震响应的不同恢复力模型的潜力,并特别着重于在强激励下将这种方法应用于全尺寸结构时遇到的两个主要问题:时间相关的行为; (b)需要在以参数或多项式形式表示的不同恢复力模型之间进行比较。特别是,将根据恢复力及其导数来制定多项式模型,以便对不同策略进行全面讨论。需要使用本文中使用的非线性识别技术来解决与时间有关的行为。实际上,在存在退化或任何其他随时间变化的特征的情况下,瞬时识别无疑构成了基于经典恢复力的方法的增强,并且还可以对假设模型的一致性进行检查。

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