In this paper, a study of 2-step damage detection for space truss structures using the extended Kalman filter theory is presented. Space truss structures are composed of many members, so it is difficult to find damaged member from the whole system. Therefore, 2-step damage identification method is applied to detect the damaged members. First, kinetic energy change ratio is used to find damage region including damaged member and then detect damaged member using extended Kalman filtering algorithm in damage region. The effectiveness of proposed method is verified through the numerical examples.

Failure risk investigation of any structure in a seismic zone can be done by the seismic probabilistic risk assessment (SPRA), which became a very attractive area of research in terms of safety measurement. This paper introduces such kind of concept to identify which magnitude in a specific seismic zone will contribute more vulnerable failure point in a structure. Here, for implement this idea a case study on a concrete gravity dam has been carried out. In order to make a correlation between the magnitude and failure risk contribution based on different damage stage, a combination of seismic hazard analysis and the probability of structural collapse is adopted. Therefore, the deaggregation of the mean annual frequency of failure risk by magnitude is used in this study to quantify four different limit stages of failure identification criteria. Consequently, from analyzing the result, in case of concrete gravity dam, this deaggregation approach shows the tensile crack in the base looks more vulnerable damage stage for the specific seismic zone.