| 苑希民,崔广涛,张玉峰.流激振动系统的神经网络辨识和预报[J].水利学报,1999,30(3): |
| 流激振动系统的神经网络辨识和预报 |
| Application of artifical neural network approach to implement recognition and predict flow induced vibration system |
| |
| DOI： |
| 中文关键词: 神经网络，动态系统，流激振动，等效荷载，智能预报 |
| 英文关键词: neural network,dynamic system,flow induced vibration,equivalent load,intelligent prediction. |
| 基金项目: |
|
| 摘要点击次数: 1943 |
| 全文下载次数: 122 |
| 中文摘要: |
| 本文根据人工神经网络的系统辨识理论，充分发挥神经网络的强大学习功能和记忆联想功能，建立了动态系统的计算机仿真模型，对非线性动态系统和水工结构振动系统进行计算机仿真，仿真结果与理论计算值具有良好的一致性；建立流激振动系统的智能分析和预报模型，辨识高拱坝泄流激振等效荷载谱，预报乌江渡导墙结构在高速水流作用下的振动响应，取得了较为满意的结果。这项研究充分说明了人工神经网络技术在土木水利工程领域的应用价值和深远意义 |
| 英文摘要: |
| Basd on the recognition theory of artifical neural network,using the strong function of learning and thinking of artifical neural network,the model of dynamic system are set up,including the simulation model of nonlinear dynamic system and vibration system of hydraulic engineering struture,The computational results of neural network are in accordance with the theoretical analysis.Neural network approach is adopted to establish an intelligent model to simulate the flow induced vibration of high arch dam.The results are consistent with the calculation by reverse analysis theory. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |