共查询到18条相似文献,搜索用时 62 毫秒
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行波效应下结构非平稳随机地震峰值响应分析 总被引:3,自引:0,他引:3
地震运动在本质上是非平稳随机过程。对于一个典型的地震记录,如果地震平稳段持续时间较短,采用非平稳随机过程描述其地震动特性较为合理。目前被最广泛接受的地震非平稳随机振动模型是演变随机激励模型。本文将虚拟激励法和精细积分法相结合,高精度计算了结构在这种随机地震激励下的时变均方根响应,并等效转化为相应的平稳随机过程后进行结构峰值响应计算。不仅考虑了激励的非平稳性,同时高效精确地考虑了结构的动力特性和地震行波效应。能够方便地应用于大型复杂结构,特别是为大跨度桥梁抗震分析提供了高效的计算手段。实际结构算例表明平稳假设会得到偏于保守的结果。当阻尼比较小时,这种差别会更明显。采用非平稳激励模型,显然更为合理;采用本文提出的方法可以很方便地处理这类问题。 相似文献
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结构非平稳随机响应分析的快速虚拟激励法 总被引:1,自引:0,他引:1
虚拟激励法能够方便地应用于结构非平稳随机响应分析,但在每个离散频点处都涉及到虚拟激励作用下动力方程的时程积分,对于大型复杂结构,其计算量是难以接受的。将结构动力方程写成状态方程形式,采用精细积分法对状态方程进行数值求解,导出了结构动力响应关于离散时刻处激励的显式线性表达式。利用这一显式表达式,只需要变换离散时刻处的激励数值,就可以方便快捷地求出新的激励作用下的结构动力响应。效率分析和数值算例表明,相对于传统虚拟激励法,本文提出的改进算法在求解非平稳激励下结构随机振动方面具有更高的计算效率。 相似文献
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随机桁架结构的非平稳随机动力响应分析 总被引:1,自引:0,他引:1
本文研究了随机桁架结构在非平稳随机激励下的动力响应问题。在利用随机因子法分析随机结构动力特性的基础上,给出了一种分析随机结构非平稳随机响应的新方法。从结构非平稳随机响应的表达式出发,同时考虑桁架结构的物理参数、几何尺寸的随机性,利用求解随机变量函数矩的方法和求解随机变量数字特征的代数综合法,导出了随机桁架结构在非平稳随机激励下位移响应均方值和应力响应均方值的均值、方差和变异系数的计算表达式。通过算例,分析了结构物理参数和几何尺寸的随机性对结构位移响应均方值和应力响应均方值随机变量随机性的影响。本文方法具有对随机结构进行一次动力分析便可求得动力响应的数字特征,且可以考察结构任一参数的随机性对结构非平稳随机响应分析结果的影响之优点。 相似文献
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本文用虚拟激励法结合等效线性法来求解受多相位平稳随机激励的多自由度Duffing系统,过程简洁,计算高效,给出了在该激励下多自由度Duffing系统的数值模拟算法,二者进行了比较,得到了比较满意的结果。 相似文献
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非比例阻尼线性体系平稳随机地震响应计算的虚拟激励法 总被引:5,自引:0,他引:5
应用复振型分解方法,将非比例阻尼线性体系在地震作用下的动力方程求解问题转化为若干个广义复振子的求解与叠加问题。通过假定地震地面运动为一零均值的平稳随机激励,应用虚拟激励法原理,推导得到了广义复振子动力坐标的解析计算公式,进而得到了以复振型为基础的非比例阻尼线性体系随机地震响应计算的一般实数解析解答。算例证实了这种方法的可靠性及高效率。 相似文献
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基于随机激励的离散形式,对耦合Newmark系统的动力可靠度问题进行解析分析。平稳随机激励下,耦合Newmark系统初始滑移极限状态方程可以写成n个标准正态随机变量的显式线性函数,并能给出可靠度指标的理论解。对于以相对滑移量为临界状态的情况,极限状态方程是n个标准正态随机变量的隐式函数,可借助静力可靠度方法进行求解。算例表明,系统初始滑移的设计点激励是以潜在滑动体自振频率为主频,振幅渐增的谐振时程;后者的失效概率与摩擦系数成非线性关系,存在合适的摩擦系数使失效概率最小。 相似文献
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W.Q. Zhu 《International Journal of Non》2011,46(5):720-726
An analytical method is proposed to study the response of a viscoelastic system with strongly non-linear stiffness force and under broad-band random excitations. The random excitations can be additive, or multiplicative, or both, and they can be stationary or non-stationary with evolutionary spectra. With the proposed method, contributions of the viscoelastic force to both damping and stiffness are taken into account separately, and then the extended version of the stochastic averaging, called the quasi-conservative averaging, is applied to the system to derive the averaged equation of energy envelope. Probability density functions of system responses, such as the total energy, the amplitude, and the state variables, can then be obtained analytically. The accuracy of the method is substantiated by comparing the analytical results with those from Monte Carlo simulations. Effects of parameters in the viscoelastic force and in the non-linear stiffness force on the system responses are also investigated. 相似文献
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This paper presents a new sensitivity analysis method for coupled acoustic–structural systems subjected to non-stationary random excitations. The integral of the response power spectrum density (PSD) of the coupled system is taken as the objective function. The thickness of each structural element is used as a design variable. A time-domain algorithm integrating the pseudo excitation method (PEM), direct differentiation method (DDM) and high precision direct (HPD) integration method is proposed for the sensitivity analysis of the objective function with respect to design variables. Firstly, the PEM is adopted to transform the sensitivity analysis under non-stationary random excitations into the sensitivity analysis under pseudo transient excitations. Then, the sensitivity analysis equation of the coupled system under pseudo transient excitations is derived based on the DDM. Moreover, the HPD integration method is used to efficiently solve the sensitivity analysis equation under pseudo transient excitations in a reduced-order modal space. Numerical examples are presented to demonstrate the validity of the proposed method. 相似文献
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The probability distribution of the response of a nonlinearly damped system subjected to both broad-band and harmonic excitations is investigated. The broad-band excitation is additive, and the harmonic excitations can be either additive or multiplicative. The frequency of a harmonic excitation can be either near or far from a resonance frequency of the system. The stochastic averaging method is applied to obtain the Itô type stochastic differential equations for an averaged system described by a set of slowly varying variables, which are approximated as components of a Markov vector. Then, a procedure based on the concept of stationary potential is used to obtain the exact stationary probability density for a class of such averaged systems. For those systems not belonging to this class, approximate solutions are obtained using the method of weighted residuals. Application of the exact and approximate solution procedures are illustrated in two specific cases, and the results are compared with those obtained from Monte Carlo simulations. 相似文献
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