节点文献
人工神经网络在实验断裂力学中的应用
Application of Artificial Neural Netwok Method to Experimental Fracture Mechanics
【摘要】 提出一种基于人工神经网络的多裂纹柱体扭转问题的数据处理新方法.运用MATLAB中的神经网络工具箱,对柱体的抗扭刚度实验值进行快速拟合,从而得到了裂纹尖端的应力强度因子.实例应用证明该方法是简便、有效的.
【Abstract】 Based on the artificial NN theory, a new data processing method for the multi-cracked prismatic shaft torision problem is presented. By using the NN toolbox in MATLAB software, the fast simulation for the experimental results of the shaft rigidity and thus the determination of stress intensity factor at the crack tip is achieved. The examples prove that the method introduced in this paper is effective and convenient.
【关键词】 多裂纹柱体;
应力强度因子;
人工神经网络;
MATLAB;
【Key words】 multi-cracked prismatic shaft; stress intensity factor; artificial neural network; MATLAB;
【Key words】 multi-cracked prismatic shaft; stress intensity factor; artificial neural network; MATLAB;
【基金】 国家自然科学基金资助项目;批准编号:50275082
- 【文献出处】 实验力学 ,Journal of Experimental Mechanics , 编辑部邮箱 ,2003年04期
- 【分类号】O346
- 【被引频次】3
- 【下载频次】116