Damage detection in large periodically-supported structures based on the characteristic receptance method and sensitivity-based approach

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (22) : 93-99.

YIN Tao YIN Meng-Lin

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Abstract

This paper develops a novel damage detection methodology for large periodically-supported structures based on the characteristic receptance method and sensitivity analysis technique. By analyzing the free vibration of a finite periodically-supported structure with a single disorder based on the wave propagation method, the sensitivity matrix of the non-dimensional natural frequencies with respect to the change in element stiffness is obtained. And then, the damage scenarios in large periodically-supported structures are identified with the damage induced changes of natural frequencies by solving a set of underdetermined equations based on the sensitivity matrix,. Furthermore, it is found that the sensitivities of the non-dimensional natural frequencies are independent of the structural physical parameters and thus any prior information of the original structures is never required. The proposed method is demonstrated by the numerical case studies conducted for both a periodically-supported beam and a periodically-supported flanged pipeline with various damage scenarios by utilizing only the frequency measurements for the first few modes before and after damage.

Key words

Characteristic receptance / sensitivity analysis / periodic structures / damage detection / flanged pipeline.

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YIN Tao YIN Meng-Lin. Damage detection in large periodically-supported structures based on the characteristic receptance method and sensitivity-based approach[J]. Journal of Vibration and Shock, 2017, 36(22): 93-99

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