A Spatial-Frequency Approach to Point-Wise Frequency Response Function Estimation with Digital Image Correlation
Source abstract
Abstract
The use of digital image correlation for modal analysis is becoming an appealing option thanks to its non-contact and full-field measurement process. However, frequency response function (FRF) estimation can be challenging due to the limited number of time domain data and heavy measurement noise. Thereby, the present work aims to propose a method which improves the estimation accuracy of point-wise FRFs. Firstly, a Gaussian-process-based spatial-frequency model is proposed, which makes use of the intrinsic properties of the FRF and the local spatial information of field measurements. Then, a Bayesian solution is developed, which is enforced by a stable and efficient numerical procedure. Finally, the effectiveness of the proposed method is verified by making a comparison with the spectral estimator through the use of simulated data, and it is further validated based on an experimental application.
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Research context
OpenAlex topics: Advanced Measurement and Detection Methods · Structural Health Monitoring Techniques · Advanced Algorithms and Applications
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Affiliations
School of Mechanical and Power Engineering, Zhengzhou University, Science Avenue 100, Zhengzhou 450001, China
Funding
National Natural Science Foundation of China
References (28)
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