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Optimal Selection of Exciting and Measuring Points for Modal Test

摘要


The modal test usually needs many measuring points to provide abundant information. Meanwhile, the placement of sensors is limited by cost and working environment, which can bring much inconvenience to the test work. An optimal selection method of exciting and measuring points is put forward. The model updating idea in the distribution estimation algorithm is introduced into the harmony search algorithm to form a new algorithm called distributed estimation harmony search algorithm. The new algorithm is applied to the optimal selection of measuring points, and modal participation theory is used to select the optimal exciting points. Optimal measuring points and exciting points are selected for modal test of a steel truss bridge model. The modal test result demonstrates the effectiveness of the distribution estimation harmony search algorithm for the optimal selection of exciting and measuring points.

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