Influence of model errors in optimal sensor placement

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• 作者：Loris Vincenzi ; ^{loris.vincenzi@unimore.it} ; Laura Simonini
• 关键词：Optimal sensor placement ; Information Entropy ; Model error ; Model uncertainties
• 刊名：Journal of Sound and Vibration
• 出版年：2017
• 出版时间：17 February 2017
• 年：2017
• 卷：389
• 期：Complete
• 页码：119-133
• 全文大小：2617 K
• 卷排序：389

文摘

The paper investigates the role of model errors and parametric uncertainties in optimal or near optimal sensor placements for structural health monitoring (SHM) and modal testing. The near optimal set of measurement locations is obtained by the Information Entropy theory; the results of placement process considerably depend on the so-called covariance matrix of prediction error as well as on the definition of the correlation function. A constant and an exponential correlation function depending on the distance between sensors are firstly assumed; then a proposal depending on both distance and modal vectors is presented. With reference to a simple case-study, the effect of model uncertainties on results is described and the reliability and the robustness of the proposed correlation function in the case of model errors are tested with reference to 2D and 3D benchmark case studies. A measure of the quality of the obtained sensor configuration is considered through the use of independent assessment criteria. In conclusion, the results obtained by applying the proposed procedure on a real 5-spans steel footbridge are described. The proposed method also allows to better estimate higher modes when the number of sensors is greater than the number of modes of interest. In addition, the results show a smaller variation in the sensor position when uncertainties occur.