A scheme integrated with deterministic–stochastic subspace system identification and the method of damage localization vector is proposed in this study for damage detection of structures based on seismic response data. A series of shaking table tests using a five-storey steel frame has been conducted in National Center for Research on Earthquake Engineering (NCREE), Taiwan. Damage condition is ...

Efforts to optimize the design of mechanical systems for preestablished use environments and to extend the durations of use cycles establish a need for in-service health monitoring. Numerous studies have proposed measures of structural response for the identification of srrucrural damage, buf few have suggested systematic techniques to guide the decision es to whether or not damage has occurred...

Engineers often decide to measure structures upon signs of damage to determine its extent and its location. Measurement locations, sensor types and numbers of sensors are selected based on judgment and experience. Rational and systematic methods for evaluating structural performance can help make better decisions. This paper proposes strategies for supporting two measurement tasks related to st...

Early damage detection is very important for in-time repair and retrofit of civil structures. The past years have seen a growing interest in automatic/programmable damage detection techniques using measurements from structural monitoring because of its potential economic benefit for maintenance practices. Recently, statistical pattern recognition (SPC) has been brought forward as a promising wa...

This paper describes a soft computing approach to solve the damage identification problem using Case-Based Reasoning (CBR) to obtain an initial diagnostic exploiting the outcomes given in known structure models simulations and the data acquired by the sensors in operating conditions once the system has started. It creates an incremental database (since a new experience is retained each time a p...

Accurately identifying damage is difficult after an extreme event since damage often cannot be directly measured. Sensors, however, can collect data that reflects damage by measuring changes in structural response. Therefore, damage identification becomes an inverse problem in which the goal is to find system properties using limited response information. The inverse problem is formulated as an...