Experimental investigation of a breathing crack in a plate under different excitations

Aftab, H.; Baneen, Ummul; Israr, Asif

doi:10.1002/stc.2922

Cited by 6 publications

(2 citation statements)

References 44 publications

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“…The crack can open and close under load and exhibit nonlinear behavior. 29 When the breathing crack is in the open state, the presence of the crack results in a local stiffness reduction. However, when the breathing crack is closed, the stiffness to bear compressive loads does not change.…”

Section: Nonlinear Damage In Time Domainmentioning

confidence: 99%

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Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study

Heng

Guo

2023

Structural Health Monitoring

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In the structural health monitoring (SHM) of civil engineering, most of the structural damage is nonlinear damage, such as breathing cracks and bolt looseness. Under the excitation of external loads, the time-domain response data of the structure produced by these nonlinear damages have nonlinear features. In order to solve the time-domain nonlinear damage identification problem of complex structures, this paper proposes a nonlinear damage identification method based on the information distance of GNPAX/GARCH (general expression of system identification for linear and nonlinear with polynomial approximation and exogenous inputs/generalized autoregressive conditional heteroskedasticity) model. First, an order determination method based on Bayesian optimization to select the order of the GNPAX/GARCH model was proposed, and the GNPAX/GARCH model was established for damage identification. Then, the redundant structural items of GNPAX/GARCH model were removed by the model optimization method based on the structural pruning algorithm. Finally, the information distance of the GNPAX/GARCH model conditional heteroscedasticity series between the baseline state and test state was derived, and the structural damage source locations were determined according to the information distance. A three-story frame structure experiment and a stand structure experiment were used to verify the effectiveness of the proposed method. The results show that the proposed method can effectively identify the nonlinear damages caused by the component breathing crack and joint bolt looseness, verifying its robustness to the nonlinear damage identification of the multi-story and multi-span complex structures.

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Section: Nonlinear Damage In Time Domainmentioning

confidence: 99%

“…Then the information feature difference between the baseline time series fw t g R and the test time series fw t g T can be determined by Equation (29).…”

Section: Information Distance Of Gnpax/garch Modelmentioning

confidence: 99%