...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Key Engineering Materials >Study of Optimized Steel Truss Design using Neural Network to Resist Lateral Loads
【24h】

Study of Optimized Steel Truss Design using Neural Network to Resist Lateral Loads

机译：神经网络抵抗侧向载荷的优化钢桁架设计研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Structural optimization is widely adopted in the design of structures with the development of computer aided design (CAD) and the development of computer technique recently. By applying the artificial neural network to structural optimization, designers can gain the design scheme of structures more feasibly and easily. In this paper, the genetic algorithm (GA) used in the error back-propagation (BP) network is applied to get the optimization result of the structural system. And the training pair of BP neural network is obtained from the structural analysis using a finite element program. The case study of 10 member truss structure using GA and BP will be helpful to reduce the cost of structures which is related to weight and the dynamic performance of optimization under the lateral load.
机译：随着计算机辅助设计（CAD）的发展和计算机技术的发展，结构优化在结构设计中被广泛采用。通过将人工神经网络应用于结构优化，设计人员可以更容易，更轻松地获得结构设计方案。本文采用误差反向传播（BP）网络中使用的遗传算法（GA）来获得结构系统的优化结果。利用有限元程序从结构分析中获得了BP神经网络的训练对。运用GA和BP对10杆桁架结构进行实例研究，将有助于降低与重量和横向荷载作用下的动态性能有关的结构成本。

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