Experimental study on damage detection of a girder bridge Based on Hilbert Marginal Spectrum and Random-Fuzzy Statistics Principle

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Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (8) : 123-127,.

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Experimental study on damage detection of a girder bridge Based on Hilbert Marginal Spectrum and Random-Fuzzy Statistics Principle

Shi Chun-Xiang; Li Hu-Sheng

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Abstract

HHT is a novel data analysis method which can be used in nonlinear non—stationary data and it’s very adaptive. Fuzzy characteristics of the bridge test model and random characteristics of load excitation result in Hilbert marginal spectrum energy ratio can be disposed by random-fuzzy statistics principle, because it includes both random error and fuzzy error. The method of HHT combined with random-fuzzy statistics principle was proposed to distinguish structural damage. And four Hilbert marginal spectrum energy index were applied to the damage recognitions in a continuous two-span girder bridge model in the lab. The results indicate that four Hilbert marginal spectrum energy index all changed before and after girder damaged, but energy accumulated variation index and energy variation max index can denote damage location and extent accurately, are more sensitive than energy ratio deviation and energy ratio variance to the structural damage, so they are more applicable in the bridge online alarming system.

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bridge engineering / damage identification / experimental research / Hilbert marginal spectrum / random-fuzzy mean

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Shi Chun-Xiang;Li Hu-Sheng. Experimental study on damage detection of a girder bridge Based on Hilbert Marginal Spectrum and Random-Fuzzy Statistics Principle[J]. Journal of Vibration and Shock, 2011, 30(8): 123-127,