Durham School of Architectural Engineering and Construction
Date of this Version
4-4-2018
Citation
Zhexiong Shang, Zhigang Shen, Multi-point vibration measurement and mode magnification of civil structures using video-based motion processing, Automation in Construction, Volume 93, 2018, Pages 231-240, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2018.05.025. (https://www.sciencedirect.com/science/article/pii/S0926580517308531)
Abstract
Image-based vibration measurement has gained increased attentions in civil and construction communities. A recent video-based motion magnification method was developed to measure and visualize small structure motions. This new approach presents a potential for low-cost vibration measurement and mode shape identification. Pilot studies using this approach on simple rigid body structures were reported. Its validity on complex outdoor structures has not been investigated. In this study, a non-contact video-based approach for multi-point vibration measurement and mode magnification is introduced. The proposed approach can output a full-field vibration map that increases the efficiency of the current structural health monitoring (SHM) practice. The multi-point approach is developed based on the local phases which also fill the gap of the existing intensity-based multi-point vibration measurement. As an extension of the phase-based motion magnification, the multi-point measurement result is then integrated with the maximum likelihood estimation (MLE) to estimate the magnified frequency bands at each identified structure mode for operational deflection shape (ODS) visualization. This proposed method was tested in both indoor and outdoor environments for validation. The results show that using the developed method, mode frequencies and mode shapes of multiple points in complex structures can be simultaneously measured. And vibrations in each mode can be visualized separately after magnification.
Included in
Construction Engineering and Management Commons, Data Science Commons, Numerical Analysis and Scientific Computing Commons, Structural Engineering Commons
Comments
Copyright © 2018 Elsevier. Used by permission.