Intelligent Data-Fusion Model Using Correlation Fractal Dimension for Structural Damage Identification

Abstract:

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To extract effectively features and improve damage identification precision, this study proposed an intelligent data-fusion model by integrating fractal theory, probabilistic neural network (PNN) and data fusion. A two-span concrete-filled steel tubular arch bridge in service was used to validate the intelligent model by identifying both single- and multi-damage patterns. The results show that the intelligent model proposed can not only reliably identify damage with different noise levels, but also have an excellent anti-noise capability and robustness.

Info:

Periodical:

Advanced Materials Research (Volumes 143-144)

Edited by:

H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong

Pages:

1300-1304

DOI:

10.4028/www.scientific.net/AMR.143-144.1300

Citation:

S. F. Jiang et al., "Intelligent Data-Fusion Model Using Correlation Fractal Dimension for Structural Damage Identification", Advanced Materials Research, Vols. 143-144, pp. 1300-1304, 2011

Online since:

October 2010

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Price:

$35.00

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