...
首页> 外文期刊>Mathematical Problems in Engineering >A Study of Nonstationary Wind Effects on a Full-Scale Large Cooling Tower Using Empirical Mode Decomposition
【24h】

A Study of Nonstationary Wind Effects on a Full-Scale Large Cooling Tower Using Empirical Mode Decomposition

机译:基于经验模态分解的大型冷却塔非平稳风效应研究

获取原文
获取原文并翻译 | 示例
           

摘要

Wind effects on structures obtained by field measurements are often found to be nonstationary, but related researches shared by the wind-engineering community are still limited. In this paper, empirical mode decomposition (EMD) is applied to the nonstationary wind pressure time-history samples measured on an actual 167-meter high large cooling tower. It is found that the residue and some intrinsic mode functions (IMFs) of low frequencies produced by EMD are responsible for the samples' nonstationarity. Replacing the residue by the constant mean and subtracting the IMFs of low frequencies can help the nonstationary samples become stationary ones. A further step is taken to compare the loading characteristics extracted from the original nonstationary samples with those extracted from the processed stationary samples. Results indicate that nonstationarity effects on wind loads are notable in most cases. The passive wind tunnel simulation technique based on the assumption of stationarity is also examined, and it is found that the technique is basically conservative for use.
机译:通过现场测量获得的风对结构的影响通常是不稳定的,但风能工程界共享的相关研究仍然有限。本文将经验模态分解(EMD)应用于在实际167米高的大型冷却塔上测得的非平稳风压时程样本。结果发现,EMD产生的低频残留物和某些本征模函数(IMF)是造成样品不稳定的原因。用恒定平均值替换残差并减去低频IMF可以帮助非平稳样本变为平稳样本。采取了进一步的步骤,以比较从原始非平稳样本中提取的负载特征与从处理后的固定样本中提取的负载特征。结果表明,在大多数情况下,非平稳性对风荷载的影响非常明显。还研究了基于平稳性的被动风洞模拟技术,发现该技术在使用上基本上是保守的。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|9083426.1-9083426.15|共15页
  • 作者单位

    Nanjing Tech Univ, Coll Civil Engn, Nanjing 211816, Jiangsu, Peoples R China|Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai 200092, Peoples R China;

    Nanjing Tech Univ, Coll Civil Engn, Nanjing 211816, Jiangsu, Peoples R China;

    Nanjing Tech Univ, Coll Civil Engn, Nanjing 211816, Jiangsu, Peoples R China;

    Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai 200092, Peoples R China;

    Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai 200092, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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