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Sensor Placement Methods and Evaluation Criteria in Structural Health Monitoring

 
   
Projektleitung:Universitätsprof. Dr.-Ing. Claus-Peter Fritzen
Bearbeiter:M.Sc. Dongsheng Li
 
Sensor placement is an important issue in structural health monitoring. The dissertation presents an overview of current research efforts and development in the field of sensor placement methods in structural health monitoring.
The first part of the dissertation discusses existing influential sensor placement methods along with our comments. Based on these discussions, the connection between Modal Kinetic Energy method and the Effective Independence method are revealed. In light of the connection, a fast computation method of the Effective Independence method based on QR decomposition is proposed and coded in Matlab as well. In addition, the QR method and the MinMAC algorithm are treated in a similar manner with disclosure of their relationship with other existing methods. The second contribution of the dissertation is the extension of the MinMAC algorithm through forward- and backward combinational approaches to enhance its ability to find global optimum sensor combination.
Furthermore, five current evaluation criteria of sensor placement methods are discussed and a novel criterion with consideration of practical issues in structural health monitoring is proposed. The proposed criterion strives to achieve the best accuracy tor modal identification to serve for further damage identification and structural health monitoring. A representative least squares method is thus developed to deal with the global optimum search of the new objective.
The sensor placement method corresponding to the new criterion takes actual loading conditions of a structure in addition to its eigen dynamic characteristics into consideration, and thus is termed as loading dependent sensor placement method, which is the main contribution of the dissertation. It includes actual responses in the design of measuring sensor topology and opens a new horizon in the field of sensor placement method. With the aid of this new criterion, several existing criteria are found to be approximately equivalent and are nearly step-by-step approximation of the new Representative Least Squares criterion. Finally, a truss structure is experimented with various loading conditions and the above proposed ideas and methods are verified.