Hybrid algorithm for optimal sensor placement of structural health monitoring

作者：Xie Qiang^*; Xue Songtao

来源：Journal of Tongji University(Natural Science), 2006, 34(6): 726-731.

• Hybrid algorithm
• Linear model estimation
• Model reduction
• Optimal sensor location
• Structural health monitoring

This paper presents a new hybrid algorithm based on both model reduction and linear model estimation for searching optimal number and locations of sensors for building structural health monitoring. According to the chosen master and slaver degrees of freedom (DOFs), 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. Illustrations clearly show that the hybrid method is applicable to optimal sensor placement for building structural health monitoring.

• 出版日期2006
• 单位同济大学