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Discretization of stochastic processes in time domain by sinc basis functions and application in TELM analysis

机译:基于sinc基函数的时域随机过程离散化及其在TELM分析中的应用

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This paper investigates methods for discrete representation of band-limited stochastic processes. The approach employs a unified framework for such representations by use of concepts of Hilbert space and general decomposition of a signal into basis functions. The proposed representation, in general, allows reducing the number of random variables used in the simulation of stochastic processes. Direct application of the representation is employed for Tail-Equivalent Linearization Method (TELM) analysis. An example of a single degree of freedom hysteretic oscillator subjected to a Gaussian band-limited white noise simulated by use of sinc basis functions is presented. The accuracy and efficiency of the representation are compared with those of current discretization methods.
机译:本文研究了带限随机过程的离散表示方法。该方法通过使用希尔伯特空间的概念以及将信号一般分解为基本函数,为此类表示采用统一框架。所提出的表示通常允许减少随机过程的仿真中使用的随机变量的数量。表示的直接应用被用于尾等效线性化方法(TELM)分析。给出了一个单自由度磁滞振荡器的示例,该振荡器经受了使用辛克基函数模拟的高斯带限白噪声。将表示的准确性和效率与当前离散化方法的准确性和效率进行了比较。

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