Optimal selection of artificial boundary conditions for model update and damage detection

This paper presents an experimental study on the application of the so-called artificial boundary condition (ABC) frequencies for structural damage identification. Aided by the corresponding sensitivity analysis, more suitable ABC frequencies can be selected for improved identification of structural damage. An overview of the theoretical background of ABC frequencies and their sensitivity formulation is provided first. An experimental programme involving model steel beams in the intact and damaged states for the measurements of ABC frequency is presented, and the extraction of the ABC frequencies is descried and discussed. The extracted ABC frequencies are selected in accordance with the sensitivity analysis and they are subsequently employed to identify the structural damage. Results demonstrate that, aided by the sensitivity-based selection procedure, the ABC frequencies can be used for practical identification of structural damage and both the damage location and severity can be determined with good accuracy.

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Selection of optimal artificial boundary condition (ABC) frequencies for structural damage identification

Mao

2016

Journal of Sound and Vibration

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In this paper, the sensitivities of artificial boundary condition (ABC) frequencies to the damages are investigated, and the optimal sensors are selected to provide the reliable structural damage identification. The sensitivity expressions for one-pin and two-pin ABC frequencies, which are the natural frequencies from structures with one and two additional constraints to its original boundary condition, respectively, are proposed. Based on the expressions, the contributions of the underlying mode shapes in the ABC frequencies can be calculated and used to select more sensitive ABC frequencies. Selection criteria are then defined for different conditions, and their performance in structural damage identification is examined with numerical studies. From the findings, conclusions are given.

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Optimal selection of artificial boundary conditions for model update and damage detection

Cited by 4 publications

References 18 publications

Optimal Selection of Artificial Boundary Conditions for Model Update and Damage Detection – Part 2: Experiment

Optimal Selection of Artificial Boundary Conditions for Model Update and Damage Detection – Part 2: Experiment

Experimental study of sensitivity-aided application of artificial boundary condition frequencies for damage identification

Selection of optimal artificial boundary condition (ABC) frequencies for structural damage identification

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