首页> 外文会议>International Conference on Hydropower >INTELLIGENT OPTIMUM IDENTIFICATION OF UNDERGROUND POWERHOUSE OF PUMPED-STORAGE POWER PLANT
【24h】

INTELLIGENT OPTIMUM IDENTIFICATION OF UNDERGROUND POWERHOUSE OF PUMPED-STORAGE POWER PLANT

机译:抽水蓄能电站地下厂房的智能优化识别

获取原文

摘要

The damping coefficient and dynamical load characteristics are sensitive to the dynamic response of the underground powerhouse. In this paper, based on results of dynamic identifying underground powerhouse of pumped-storage power plant formerly, the immune algorithm is jointed to the ANSYS Code, high-frequency water pressure pulsation during routine operation and damping ratio are identified and studied combining observing data. All of this will be a useful reference for generating precise numerical model and studying hydropower station.
机译:阻尼系数和动载荷特性对地下厂房的动力响应敏感。本文基于动态识别抽水蓄能电站地下厂房的结果,将免疫算法与ANSYS代码结合,结合观测数据对常规运行过程中的高频水压脉动和阻尼比进行了识别和研究。所有这些都将为建立精确的数值模型和研究水电站提供有用的参考。

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