...
首页> 外文期刊>Latin American Journal of Solids and Structures >Time Domain Modeling and Simulation of Nonlinear Slender Viscoelastic Beams Associating Cosserat Theory and a Fractional Derivative Model
【24h】

Time Domain Modeling and Simulation of Nonlinear Slender Viscoelastic Beams Associating Cosserat Theory and a Fractional Derivative Model

机译:非线性细长弹性粘弹性梁的时域建模与Cosserat理论和分数阶导数模型的关联

获取原文

摘要

A broad class of engineering systems can be satisfactory modeled under the assumptions of small deformations and linear material properties. However, many mechanical systems used in modern applications, like structural elements typical of aerospace and petroleum industries, have been characterized by increased slenderness and high static and dynamic loads. In such situations, it becomes indispensable to consider the nonlinear geometric effects and/or material nonlinear behavior. At the same time, in many cases involving dynamic loads, there comes the need for attenuation of vibration levels. In this context, this paper describes the development and validation of numerical models of viscoelastic slender beam-like structures undergoing large displacements. The numerical approach is based on the combination of the nonlinear Cosserat beam theory and a viscoelastic model based on Fractional Derivatives. Such combination enables to derive nonlinear equations of motion that, upon finite element discretization, can be used for predicting the dynamic behavior of the structure in the time domain, accounting for geometric nonlinearity and viscoelastic damping. The modeling methodology is illustrated and validated by numerical simulations, the results of which are compared to others available in the literature.
机译:在较小的变形和线性材料特性的假设下,可以对各种工程系统进行满意的建模。但是,现代应用中使用的许多机械系统,例如航空航天和石油工业的典型结构元件,其特点是细长,高静态和动态载荷。在这种情况下,必须考虑非线性几何效应和/或材料非线性行为。同时,在许多涉及动态负载的情况下,需要减小振动水平。在这种情况下,本文描述了粘弹性细长梁状结构经历大位移的数值模型的开发和验证。数值方法是基于非线性Cosserat梁理论和基于分数导数的粘弹性模型的结合。这种组合使得能够导出非线性运动方程,在有限元离散化之后,该非线性运动方程可用于预测结构在时域中的动态行为,并考虑了几何非线性和粘弹性阻尼。通过数值模拟说明并验证了建模方法,并将其结果与文献中的其他方法进行了比较。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号