Structure Health Monitoring to Mitigate Urban Seismic Hazard

研究智能传感技术在大型土木结构中的应用的动机是为了减轻对公众的潜在危害。目前的检测方法要么是被动的，要么是在地震灾害造成灾难性结构破坏后进行的。嵌入或安装在结构上的分布式智能传感器提供了根据需要评估损坏的独特能力，以在地震灾害发生之前，期间和之后提供结构的当前状态。无线通信技术允许远程执行这种结构健康监测。本研究的目的是交流日美两国正在进行的研究项目的信息，并寻找一些有前途的共同研究领域，包括：1）开发使用光纤、碳纤维等的新传感器技术; 2）应用先进技术进行结构控制; 3）开发和应用传感器技术; 4）开发和应用传感器技术。 ...更多信息 与系统辨识相对应的自适应卡尔曼滤波器、蒙特卡罗滤波器、神经网络、混沌时间序列辨识算法、遗传算法奇异分解技术; 4）遥感技术在大系统内部状态识别中的应用与发展; 5）非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如自适应卡尔曼滤波器、自适应H ∞滤波器和自适应蒙特卡罗滤波器。开发了能够监测峰值应变或位移的简单且廉价的被动传感器。提出了一种利用加速度传感器结合振动陀螺仪和悬臂梁检测结构响应不连续性的方法。利用数字摄像机和图像处理技术，研制了钢筋混凝土结构裂缝检测系统。将声发射速率过程分析与损伤力学相结合，建立了基于混凝土试件的结构混凝土损伤评估方法。

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