Damage Identification Based on Power Spectral Density Sensitivity Analysis of Structural Responses

Chen, Wei Huan; Ding, Chang Ying; He, Bing Quan; Lv, Zhong Rong; Liu, Ji Ke

doi:10.4028/www.scientific.net/amr.919-921.45

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhou et al [9] provided a damage identification method based on the PSD transmissibility using output-only response measurements. From the sensitivities of PSD with respect to the structural damage parameters and finite element model updating, Chen et al [10] presented a method to identify structural damage. Zheng et al [11] considered a structural damage detection method from the finite element model, which is updated using the measured PSD.…”

Section: Introductionmentioning

confidence: 99%

Structural Damage Detection by Power Spectral Density Estimation Using Output-Only Measurement

Lee

Eun

2016

Shock and Vibration

View full text Add to dashboard Cite

Most damage detection methods have difficulty in detecting damage using only measurement data due to the existence of external noise. It is necessary to reduce the noise effect to obtain accurate information and to detect damage by the output-only measurement without baseline data at intact state and input data. This work imported the power spectral density estimation (PSE) of a signal to reduce the noise effect. By estimating the PSE to characterize the frequency content of the signal, this study proposes a damage detection method to trace the damage by the curvature of the PSE. Two numerical applications examine the applicability of the proposed method depending on a window function, frequency resolution, and the number of overlapping data in the PSE method. The knowledge obtained from the numerical applications leads to a series of experiments that substantiate the potential of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%