• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Bulletin of earthquake engineering >Real-time analysis and interpretation of continuous data from structural health monitoring (SHM) systems
【24h】

Real-time analysis and interpretation of continuous data from structural health monitoring (SHM) systems

机译：实时分析和解释来自结构健康监测（SHM）系统的连续数据

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

The dynamic characteristics of a structure are commonly defined by its modal properties: modal frequencies, damping ratios, and mode shapes. Significant changes in modal properties of a structure after an extreme event, such as an earthquake, or during its service life can be strongly related to damage in the structures. This makes it crucial that the modal properties are accurately estimated and continuously tracked to detect any changes by the structural health monitoring (SHM) system. This paper introduces an algorithm and a MATLAB-based software that includes modules for real-time data processing, modal identification, damage detection, and stakeholder warnings for vibration-based SHM systems. The data processing and modal identification techniques used are based on the classical and stochastic techniques, and utilize running time windows to keep track of time variations in real-time data. The damage detection algorithm makes use of inter-story drifts to detect and locate damage. Since the calculation of inter-story drifts involves double integration and subtraction of acceleration signals, it is extremely hard to get accurate values of inter-story drifts in real-time monitoring. To improve the accuracy, inter-story drifts are calculated for each mode of the structure separately, and then combined synchronously. The displacements at non-instrumented floors are estimated by assuming that the mode shapes can be approximated as a linear combination of those of a shear beam and a bending beam. A software package, REC_MIDS, is developed for this purpose, and it has been operating in a large number of different structures with SHM systems in Turkey (tall buildings, suspension bridges, mosques, museums), and in seven high-rise buildings in UAE.
机译：结构的动态特性通常由其模态属性定义：模态频率，阻尼比和模态形状。极端事件（例如地震）或其使用寿命之后，结构的模态特性的重大变化可能与结构中的损坏密切相关。因此，至关重要的是要准确估计模态特性，并通过结构健康监测（SHM）系统连续跟踪以检测任何变化。本文介绍了一种算法和基于MATLAB的软件，其中包括用于基于振动的SHM系统的实时数据处理，模态识别，损伤检测和利益相关者警告的模块。所使用的数据处理和模式识别技术基于经典技术和随机技术，并且利用运行时间窗口来跟踪实时数据中的时间变化。损坏检测算法利用层间漂移来检测和定位损坏。由于层间漂移的计算涉及加速度信号的双重积分和减法，因此在实时监控中很难获得层间漂移的准确值。为了提高精度，分别为结构的每种模式计算层间漂移，然后将其同步组合。通过假设模态形状可以近似为剪切梁和弯曲梁的线性组合，来估算非仪器地板的位移。为此目的，开发了一个软件包REC_MIDS，它已在土耳其的SHM系统（高层建筑，吊桥，清真寺，博物馆）和阿联酋的七座高层建筑中以多种不同结构运行。

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