...
首页> 外文期刊>Advances in Structural Engineering >Modal parameter identification of a spectator-grandstand interaction model under different rhythmic activities
【24h】

Modal parameter identification of a spectator-grandstand interaction model under different rhythmic activities

机译:不同节律活动下观众界面互动模型的模态参数识别

获取原文
获取原文并翻译 | 示例
           

摘要

Stadium grandstands are designed to support high dynamic loads due to the presence of spectators attending both sport and music events. In order to assess accurately the dynamic response of these structures under these actions, spectator-grandstand interaction models have been widely considered. In spite of the wide range of different rhythmic activities, which can be performed by spectators on stadium grandstands, the modal parameters of these interaction models have been determined experimentally for only two extreme situations, the so-called passive and active spectators. In order to overcome this limitation, the variation of the modal parameters of a spectator-grandstand interaction model in terms of the rhythmic activities performed by the spectators was analyzed in this study. As parameters estimator, the ordinary least squares method was considered. The parameters identification has been performed based on the results of a full-scale experimental test conducted on a real grandstand. As result of the identification process, a clear variation of the modal parameters of the interaction model in terms of the activity type and rate has been detected. Therefore, this interaction model becomes a valuable tool for estimating the change on the modal properties of grandstands induced by the different rhythmic activities performed by the spectators.
机译:体育场俯卧套旨在支持高动态载荷,因为存在参加体育和音乐活动的观众。为了准确地评估这些结构的这些结构的动态响应,广泛考虑了观众 - 广场互动模型。尽管有广泛的不同节奏活动,可以通过体育场浇筑物上的观众进行,这些交互模型的模态参数已经在实验上确定了两个极端情况,所谓的被动和有源观众。为了克服本限制,在本研究中分析了观众表演的节奏活动方面的观众级相互作用模型的模式的变化。作为参数估计器,考虑了普通的最小二乘法。已经基于在真正的正台上进行的全规模实验测试的结果来执行参数识别。由于识别过程的结果,检测到在活动类型和速率方面的相互作用模型的模型的明显变化。因此,该相互作用模型成为一种有价值的工具,用于估计由观众所表现的不同节奏活动引起的出良频体的模态特性的变化。

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