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An inverse non-linear force vibration problem of estimating the external forces in a damped system with time-dependent system parameters

机译:具有时变系统参数的阻尼系统中外力估计的非线性非线性力振动问题

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摘要

An inverse non-linear force vibration problem based on the iterative regularization method, i.e., the conjugate gradient method (CGM), is used to estimate the unknown time-dependent external forces in a damped system having time-dependent system parameters by using the measured system displacement. It is assumed that no prior information is available on the functional form of the unknown external forces in the present study, thus, it is classified as the function estimation in inverse calculation. The accuracy of the inverse analysis is examined by using the simulated exact and inexact measurements. The numerical simulations are performed to test the validity of present algorithm by using different types of external forces and measurements. Results show that an excellent estimation on the external forces can be obtained with any arbitrary initial guesses within a couple of seconds of CPU time at Pentium II-300 MHz PC. (C) 2001 Academic Press. [References: 16]
机译:基于迭代正则化方法(即共轭梯度法(CGM))的非线性非线性力振动问题,通过使用测量值来估计具有时变系统参数的阻尼系统中未知时变外力系统位移。假设在本研究中没有关于未知外力功能形式的先验信息,因此,在逆计算中将其归类为功能估计。通过使用模拟的精确和不精确测量来检查逆分析的准确性。通过使用不同类型的外力和测量值,进行数值模拟以测试本算法的有效性。结果表明,在奔腾II-300 MHz PC上,在几秒钟的CPU时间内,通过任意任意的初始猜测,都可以获得对外力的出色估计。 (C)2001学术出版社。 [参考:16]

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