• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Earthquake Engineering & Structural Dynamics >Seismic structural health monitoring using the modal assurance distribution
【24h】

Seismic structural health monitoring using the modal assurance distribution

机译：地震结构健康监测使用模态保证分布

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

Thanks to emerging techniques in the field of signal processing and due to improvements in smart sensing systems which enable the event-triggered acquisition of high-fidelity data at the occurrence of strong ground motion events, seismic structural health monitoring has grown considerably in the last few decades. In this paper, the modal assurance distribution, an alternative time-frequency representation of the modal features of multivariate and multicomponent signals, is extended for application to short-term nonstationary vibrational structural responses in which the system may manifest its nonlinear behavior. A general procedure for the extraction of the decoupled normal modes is presented, which allows the identification of instantaneous modal parameters in order to investigate in detail the structural behavior during earthquakes. Valuable information that cannot be recovered by means of traditional criteria can thus be exploited for accurate damage assessment. The results obtained for two case studies consisting of a numerical model with softening nonlinear behavior and a full-scale experimental reinforced concrete benchmark show the potential and applicability of the method proposed for the integrity assessment of civil structures.
机译：由于信号处理领域的新兴技术，并且由于智能传感系统的改进，使得事件触发的高保真数据发生在强大的地面运动事件的发生时，地震结构健康监测在最后几年内变化了很大几十年。在本文中，模态保证分布，多变量和多组分信号的模态特征的替代时间频率表示，延长了应用于短期非间断振动结构响应，其中系统可能表现出其非线性行为。提出了用于提取去耦正常模式的一般程序，这允许鉴定瞬时模态参数，以便在地震期间详细研究结构行为。因此，无法通过传统标准恢复无法恢复的有价值的信息，以便进行准确的损害评估。由具有软化非线性行为的数值模型和全规模实验钢筋混凝土基准组成的两种情况研究获得的结果，表明了该方法提出的民间结构的完整性评估的潜力和适用性。

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