Effect of Computational Patterns of PCA on Moving Force Identification

Abstract:

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Effect of computational patterns of principle component analysis (PCA) on moving force identification (MFI) is studied in this paper. The motion equation of bridge due to moving vehicles are formed, the relationship between moving axle loads and caused bridge responses are established for the PCA-based MFI method in time domain. The measured bridge responses are rearranged in a matrix form for easily performing PCA and are adopted for obtaining an acceptable solution to the MFI problem. A laboratory experimental study was conducted to assess effectiveness and robustness of the PCA-based MFI method. The illustrated results show that the PCA-based method is an easy executive and more effective method for the MFI problem. The PCA computational patterns should be appropriately considered due to its higher sensitivity on response catalogues.

Info:

Periodical:

Advanced Materials Research (Volumes 163-167)

Edited by:

Lijuan Li

Pages:

2678-2682

DOI:

10.4028/www.scientific.net/AMR.163-167.2678

Citation:

L. Yu and J. H. Zhu, "Effect of Computational Patterns of PCA on Moving Force Identification", Advanced Materials Research, Vols. 163-167, pp. 2678-2682, 2011

Online since:

December 2010

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$35.00

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