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Damping identification of lightly damped linear dynamic systems using common-base proper orthogonal decomposition

机译:基于共基适当正交分解的轻阻尼线性动力系统的阻尼识别

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This paper presents a new technique to identify the damping of linear systems. It is developed from the Proper Orthogonal Decomposition (POD) of the free response of the system and extended to the recently proposed Common-base POD (CPOD). The present application of CPOD considers simultaneously several free responses of the system to different initial conditions. The Eigen-decomposition of the co-variance matrix leads to a unique vector basis which is likely to contain more information about the dynamics of the system than a vector basis obtained by the classic POD technique. The ability of the technique to estimate the mode shapes and the modal damping is demonstrated on a simulated mass-spring-damper system. Two different distributions of masses are considered in order to confront the CPOD analysis to the intrinsic limitation of POD, i.e. that the mode shapes are identified exactly only if the mass matrix is proportional to the identity matrix. It is shown that the identification of the damping is still possible when the modes are not orthonormal. The robustness of the technique is demonstrated in the presence of noise in the responses of the system and through an experimental application with comparison with other identifications techniques.
机译:本文提出了一种识别线性系统阻尼的新技术。它是根据系统自由响应的正确正交分解(POD)开发的,并扩展到最近提出的通用碱基POD(CPOD)。 CPOD的本申请同时考虑了系统对不同初始条件的几个自由响应。协方差矩阵的特征分解产生唯一的矢量基础,与通过经典POD技术获得的矢量基础相比,该矢量基础可能包含更多有关系统动力学的信息。在模拟的质量-弹簧-阻尼器系统上证明了该技术估计模态形状和模态阻尼的能力。为了将CPOD分析面对POD的固有局限性,考虑了两种不同的质量分布,即仅在质量矩阵与单位矩阵成正比的情况下才精确识别模式形状。结果表明,当模式不是正交时,仍然可以识别阻尼。通过在系统响应中存在噪声以及与其他识别技术进行比较的实验应用,证明了该技术的鲁棒性。

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