首页> 外文期刊>Journal of Thermoplastic Composite Materials >Free Vibration Analysis and Optimal Design of a Clamped-free Single Lap Joint with Unidirectional Laminated Narrow Plates
【24h】

Free Vibration Analysis and Optimal Design of a Clamped-free Single Lap Joint with Unidirectional Laminated Narrow Plates

机译:单向薄板无夹紧单搭接接头的自由振动分析和优化设计

获取原文
获取原文并翻译 | 示例
           

摘要

In this study the three-dimensional free vibration analysis and modal stress analysis of an adhesively bonded composite single lap joint having unidirectional laminated narrow plates and subjected to clamped-free condition are carried out. The first ten natural frequencies and mode shapes of the adhesive joint are considered. The effects of fiber angle, fiber volume fraction, overlap length, and plate thickness on the natural frequencies and the mode shapes of the adhesive joint are investigated using the back-propagation artificial neural network (ANN) method. A series of free vibration and stress analyses is carried out using the finite element method for random values of the fiber angle, the fiber volume fraction, the overlap length, and the plate thickness so that the proposed ANN model can be trained successfully to predict the first ten natural frequencies as well as the corresponding modal strain energies. The ANN models indicate that the fiber angle is a more dominant parameter than the fiber volume fraction on the natural frequencies and the corresponding mode shapes of the adhesive joint, and the plate thickness and the overlap length are important geometrical design parameters whereas the adhesive thickness has a minor effect. In addition, genetic algorithm is combined with the present ANN model to achieve the optimal joint design which satisfies maximum natural frequency and minimum modal strain energy conditions for each natural frequency and mode shape of the adhesively bonded composite single lap joint.
机译:在这项研究中,进行了具有单向层压窄板并处于自由夹持状态的胶粘复合单搭接接头的三维自由振动分析和模态应力分析。考虑粘合剂接头的前十个固有频率和众数形状。使用反向传播人工神经网络(ANN)方法研究了纤维角度,纤维体积分数,重叠长度和板厚度对粘合剂接头的固有频率和模态形状的影响。使用有限元方法对纤维角度,纤维体积分数,重叠长度和板厚的随机值进行了一系列自由振动和应力分析,从而可以成功地训练提出的ANN模型以预测前十个固有频率以及相应的模态应变能。人工神经网络模型表明,在固有频率和粘合剂接头的相应模态形状上,纤维角比纤维体积分数更占主导地位,而板厚度和重叠长度是重要的几何设计参数,而粘合剂厚度具有轻微的影响。此外,遗传算法与当前的ANN模型相结合,以实现最优的接头设计,该设计满足粘合复合单搭接接头的每个固有频率和模态形状的最大固有频率和最小模态应变能条件。

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