SHM for civil structures based on statistical models
Structural health monitoring(SHM)systems of civil structures are more complex and multi-layered than those of mechanical systems.The purpose of monitoring a mechanical system is usually clear and straightforward.On the other hand,in the case of civil engineering structures,the final goal to achieve through monitoring is often unclear and ambiguous because of the size and complexity of the structure.The health status and performance of a civil structure are monitored or evaluated by comparing the present health index with the threshold determined in the normal baseline state.When the measured data is analyzed for the baseline case or a current condition,a statistical distribution of a certain index should be determined.The calculated health index does not usually follow the Gaussian distribution.Especially when the absolute value of a calculated index is collected,the distribution of the health indices may be leaning to one side so that it may be difficult to fit it to a statistical model.The current study suggests a new statistical model for the calculated absolute values of health indices.The health indices evaluate the structural health with the weighting factors depending on the type and location of sensors.The SHM algorithm developed in this paper has been verified through simulation studies on a cable-stayed bridge.
SHM civil structure health index statistical model simulation study
Y.Kim S.Shin
Department of Civil Engineering,INHA University,Incheon,Korea
国际会议
The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)
青岛
英文
1753-1758
2018-07-22（万方平台首次上网日期，不代表论文的发表时间）