Structure Health Monitoring to Mitigate Urban Seismic Hazard

结构健康监测减轻城市地震灾害

基本信息

批准号：
10044155
负责人：
SATO Tadanobu
金额：
$ 15.1万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

The motivation for investigating the application of smart sensoring technology to large civil structures arises from the desire to mitigate potential hazards to the general public. Current inspection approaches are either passive or occur after the earthquake disaster caused a catastrophic structure failure. Distributed smart sensors embedded or mounted on the structure offer the unique ability to assess damage on demand to deliver the current state of the structure prior, during and after a earthquake disaster occurred. Wireless communication technology permits this structural health monitoring to be performed remotely. The purpose of this research is to exchange the information of on going research projects in both Japan and U.S.A.and to find number of promising area for joint research as listed following :1) Development of new sensor technologies using optical fiber, carbon fiber, etc.2) Application of advanced technologies for structural control3) Development and application of met … More hodologies corresponding to the system identification such as the adaptive Kalman filter, Monte Carlo filter, neural network, algorithm to identify chaotic time series, genetic algorithm, singular decomposition technique.4) Application and development of remote sensing technologies to identify internal condition of large systems.5) Non-destructive technologies to identify the health condition of existing structuresBased on the exchange of information on health monitoring systems we developed new system identification algorithms such as adaptive Kalman filter, adaptive H infinity filter and adaptive Monte Carlo filter. Simple and inexpensive passive sensors that can monitor the peak strain or displacement were developed. A method was developed to detect discontinuities in response of structure by using the jerk sensor combined with a vibratory gyroscope and a cantilever. A crack detecting system of RC structures was developed using a digital camera and image processing technology. Damage estimation of structural concrete from concrete samples was developed, combining the rate process analysis of acoustic emission (AE) with damage mechanics Less

研究智能传感技术在大型土木结构中的应用的动机源于减轻对公众潜在危害的愿望。当前的检查方法要么是被动的，要么是在地震灾害导致分布式智能传感器发生灾难性结构故障后进行的。安装在结构上的无线通信技术可以根据需要评估损坏情况，从而在地震灾害发生之前、期间和之后提供结构的当前状态。这项研究的目的是。交换正在进行的研究项目的信息在日本和美国，并找到一些有前景的联合研究领域，如下所示：1）使用光纤、碳纤维等开发新的传感器技术2）先进结构控制技术的应用3）气象学的开发和应用...更多与系统识别相对应的方法，如自适应卡尔曼滤波器、蒙特卡罗滤波器、神经网络、混沌时间序列识别算法、遗传算法、奇异分解技术等。4）遥感技术识别内部状况的应用和发展大型系统.5)识别现有结构健康状况的无损技术基于健康监测系统的信息交换，我们开发了新的系统识别算法，例如自适应卡尔曼滤波器、自适应H无穷大滤波器和自适应蒙特卡罗滤波器，这些简单且廉价的无源传感器可以。开发了一种使用振动陀螺仪和悬臂梁结合的冲击传感器来检测结构响应不连续性的方法，并使用数码相机开发了 RC 结构的裂纹检测系统。开发了将声发射（AE）速率过程分析与损伤力学相结合的混凝土样品损伤估计的图像处理技术。