...
首页> 外文期刊>Composite Structures >Nonlinear random responses and fatigue prediction of elastically restrained laminated composite panels in thermo-acoustic environments
【24h】

Nonlinear random responses and fatigue prediction of elastically restrained laminated composite panels in thermo-acoustic environments

机译:热声环境下弹性约束层合复合板的非线性随机响应和疲劳预测

获取原文
获取原文并翻译 | 示例
           

摘要

This paper presents a formulation for predicting the nonlinear random response of the elastically restrained laminated composite panel subjected to thermo-acoustic loads. Based on the laminated plate theory and Von Karman large deflection and classical thin plate theories, the natural characteristics are obtained via Rayleigh-Ritz method and then the governing equations of the panel subjected to combined acoustic and thermal loads are formulated. The nonlinear partial differential equations of motion are transformed to a set of coupled nonlinear ordinary differential equations in truncated modal coordinates. A numerical example where the acoustic load is considered as the Gaussian band-limited white noise is given to perform the process of obtaining the mode and responses of the panel. Taking the natural frequency obtained from the finite element method as a reference value, the process of obtaining the natural frequencies is validated by comparing the frequency results. Numerical results show that the buckling, snap-through, and nonlinear random vibrations of the thermal-elastic restrained panel can be predicted accurately. Comparing stress PSD distributions with fatigue damage distributions, the first-order mode is proved to be valid for determining the most dangerous area for fatigue life prediction.
机译:本文提出了一种用于预测受热声载荷作用的弹性约束层压复合板的非线性随机响应的公式。基于层合板理论,冯卡曼大挠度理论和经典薄板理论,通过瑞利-里兹方法获得自然特性,然后建立了声-热联合作用下面板的控制方程。运动的非线性偏微分方程被转换为截断的模态坐标中的一组耦合的非线性常微分方程。给出了一个将声负载视为高斯带限白噪声的数值示例,以执行获取面板的模式和响应的过程。以有限元法获得的固有频率为参考值,通过比较频率结果验证了固有频率的获得过程。数值结果表明,可以精确地预测热弹性约束面板的屈曲,断裂和非线性随机振动。将应力PSD分布与疲劳损伤分布进行比较,一阶模式被证明对于确定疲劳寿命预测中最危险的区域是有效的。

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