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Implicit analytic solutions for the linear stochastic partial differential beam equation with fractional derivative terms

机译:具有分数衍生术语的线性随机偏差梁方程的隐式解析解

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Analytic solutions in implicit-form are derived for a linear stochastic partial differential equation (SPDE) with fractional derivative terms, which can model the dynamics of a stochastically excited Euler-Bernoulli beam resting on a viscoelastic foundation. Specifically, the original initial-boundary value problem of the SPDE is reduced to an initial value problem of a second-order stochastic differential equation in an appropriate Hilbert space. Next, addressing the abstract Cauchy problem, employing cosine and sine families of operators, and representing the fractional derivative term in a suitable form, a variation of parameters treatment yields the solution in implicit-form. The limiting purely viscous and purely elastic modeling cases are also studied within the same framework. The herein proposed technique and derived implicit-form solutions can be construed as an extension of available results in the literature to account for fractional derivative terms. This generalization is of significant importance given the vast utilization of fractional calculus modeling in engineering mechanics, and in viscoelastic material behavior in particular. In this regard, the herein proposed analytical treatment also supplements existing more numerically oriented solution schemes available in the engineering mechanics literature. (C) 2018 Elsevier B.V. All rights reserved.
机译:隐式形式的分析解是用于线性随机部分微分方程(SPDE),其具有分数衍生术语,可以模拟在粘弹性基础上搁置的随机兴奋的欧拉-Bernouli梁的动态。具体地,SPDE的原始初始边界值问题减少到适当的希尔伯特空间中的二阶随机微分方程的初始值问题。接下来,解决抽象的Cauchy问题,采用余弦和阳性的操作员家族,并以合适的形式代表分数衍生物术语,参数处理的变化产生了隐含形式的溶液。在同一框架内还研究了限制纯粘性和纯粹的弹性建模案例。本文提出的技术和衍生的隐式形式解决方案可以被解释为延伸文献中的可用结果,以解释分数衍生术语。鉴于工程力学中的分数微积分和粘弹性材料行为,该概率具有重要意义,特别是尤其是粘弹性材料行为。在这方面,本文提出的分析治疗还在工程力学文献中提供了现有的现有数控解决方案。 (c)2018 Elsevier B.v.保留所有权利。

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