Identification and correlation of natural patterns using a hybrid BRISK-DIC method

David Kumar; Chih-Hung Chiang; Yung-Chiang Lin

doi:10.1117/12.2584776

22 March 2021 Identification and correlation of natural patterns using a hybrid BRISK-DIC method

David Kumar, Chih-Hung Chiang, Yung-Chiang Lin

Author Affiliations +

Proceedings Volume 11592, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV; 115920K (2021) https://doi.org/10.1117/12.2584776
Event: SPIE Smart Structures + Nondestructive Evaluation, 2021, Online Only

Abstract

The present study is based on developing a novel in-house BRISK-DIC methodology to identify and correlate natural patterns to perform 3D vibration studies of large structures such as wind turbines. The method includes identifying natural patterns using the BRISK (Binary Robust Invariant Scalable Keypoints) algorithm and its integration with an in-house 3D-DIC method for the measurement of in-plane and out-of-plane displacements. The stereo-calibration is performed using a novel calibration technique that uses an IMU sensor and Laser Measure for extrinsic parameters and a representative computational stereovision system for intrinsic parameters. In a preliminary field experiment, the developed technique is used to study the vibrations of a light tower of 10m height. The BRISK algorithm is applied to the selected reference images from both of the cameras to detect natural patterns. The in-house 3D-DIC program uses the identified natural patterns as well as calibration parameters for correlation and reconstruction purposes. The developed BRISK-DIC method is able to measure 3D displacements as well as accurately obtain the natural frequencies of the light tower. The vibration results are validated using an accelerometer. Finally, in another field experiment, the technique is successfully implemented for 3D vibration study of a utility-scale wind turbine. Natural patterns are identified at the nacelle and correlated to obtain the vibrational parameters of the wind turbine tower. The measured natural frequencies are validated with the measurement carried out in the past using a ground-based microwave interferometer.

Conference Presentation

Citation Download Citation

David Kumar, Chih-Hung Chiang, and Yung-Chiang Lin "Identification and correlation of natural patterns using a hybrid BRISK-DIC method", Proc. SPIE 11592, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XV, 115920K (22 March 2021); https://doi.org/10.1117/12.2584776

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