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Parametric identification of structural nonlinearities from measured frequency response data

机译:根据测得的频率响应数据进行结构非线性的参数识别

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摘要

Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic loading. In several cases, linear theory can suffice to analyze nonlinear systems to some extent. However, there are cases where nonlinear effects and therefore nonlinear analysis become unavoidable. In most of the engineering applications it is usually very difficult if not impossible to model nonlinearity theoretically, especially for nonlinear effects stemming from structural connections. Then it becomes necessary to detect, localize and parametrically identify nonlinear elements from measured vibration data. In this study, two different methods, one being a method suggested recently by two of the authors of this paper, and the other being again a method developed in an earlier work, are implemented on a test rig containing a nonlinear element. Both methods are capable of parametrically identifying nonlinearities from measured frequency response functions. It is aimed in this paper to asses the validity of each method by applying them to a real test structure and thus parametrically identifying the nonlinear element in the system to obtain a mathematical model, and then employing the model in harmonic response analysis of the system in order to compare predicted responses with measured ones.
机译:结构非线性是动态载荷下工程结构中常见的现象。在某些情况下,线性理论足以在某种程度上分析非线性系统。但是,在某些情况下,非线性影响不可避免,因此非线性分析变得不可避免。在大多数工程应用中,即使不是不可能,也很难在理论上对非线性进行建模,尤其是对于结构连接产生的非线性效应。然后,有必要从测得的振动数据中检测,定位和参数识别非线性元素。在这项研究中,两种不同的方法(一种方法是本文的两位作者最近提出的方法,另一种还是在较早的工作中开发的方法)在包含非线性元素的试验台上实现。两种方法都能够从测得的频率响应函数中参数化地识别非线性。本文旨在通过将每种方法应用于实际的测试结构,从而对系统中的非线性元素进行参数识别,从而获得数学模型,然后将该模型应用于系统的谐波响应分析中,以评估每种方法的有效性。为了将预测的响应与测得的响应进行比较。

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