OPTIMAL SENSOR LOCATIONS FOR STRUCTURAL HEALTH MONITORING
This paper presents a new method for searching optimal number and locations of sensors for building structural health monitoring. Considering the mass and stiffness distribution characteristic of building structure, the hybrid methodology using both linear model estimation and model reduction is put forward. According to the chosen master and slaver degrees of freedom, a model reduction method named improved reduced system is used to reduce the DOFs of the original model. Then, based on linear model estimation, the target modes are treated as a design matrix of linear model and singular value decomposition is used to decompose the target modes. The first several left singular vectors of the decomposed matrix are used to calculate contribution of each sensor candidate. Iterative method is used to choose the last set of sensor locations. Illustration clearly shows that the hybrid method is applicable to building structures.
Structural health monitoring optimal sensor location linear model estimation model reduction hybrid algorithm
Q. Xie Z. Sun
School of Civil Engineering, Tongji University, Shanghai, China
国际会议
上海
英文
1491-1499
2007-11-28（万方平台首次上网日期，不代表论文的发表时间）