Technical Papers
Dec 8, 2016

Video Camera–Based Vibration Measurement for Civil Infrastructure Applications

Publication: Journal of Infrastructure Systems
Volume 23, Issue 3

Abstract

Visual testing, as one of the oldest methods for nondestructive testing (NDT), plays a large role in the inspection of civil infrastructure. As NDT has evolved, more quantitative techniques have emerged such as vibration analysis. New computer vision techniques for analyzing the small motions in videos, collectively called motion magnification, have been recently developed, allowing quantitative measurement of the vibration behavior of structures from videos. Video cameras offer the benefit of long range measurement and can collect a large amount of data at once because each pixel is effectively a sensor. This paper presents a video camera-based vibration measurement methodology for civil infrastructure. As a proof of concept, measurements are made of an antenna tower on top of the Green Building on the campus of the Massachusetts Institute of Technology (MIT) from a distance of over 175 m, and the resonant frequency of the antenna tower on the roof is identified with an amplitude of 0.21 mm, which was less than 1/170th of a pixel. Methods for improving the noise floor of the measurement are discussed, especially for motion compensation and the effects of video downsampling, and suggestions are given for implementing the methodology into a structural health monitoring (SHM) scheme for existing and new structures.

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Acknowledgments

The authors acknowledge the support provided by Royal Dutch Shell through the MIT Energy Initiative, and thank chief scientists Dr. Dirk Smit and Dr. Sergio Kapusta, project managers Dr. Keng Yap and Dr. Lorna Ortiz-Soto, and Shell-MIT liaison Dr. Jonathan Kane for their oversight of this work. Special thanks are also given to Scott Wade for access to the roof of the Green Building to make the verification measurement of the antenna tower, and the United States Geological Service (USGS) for the accelerometer data.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 23Issue 3September 2017

History

Received: Sep 1, 2015
Accepted: Sep 14, 2016
Published online: Dec 8, 2016
Discussion open until: May 8, 2017
Published in print: Sep 1, 2017

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Authors

Affiliations

Justin G. Chen [email protected]
Research Assistant, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139. E-mail: [email protected]
Research Assistant, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139. E-mail: [email protected]
Neal Wadhwa [email protected]
Research Assistant, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139. E-mail: [email protected]
Frédo Durand [email protected]
Professor, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139. E-mail: [email protected]
William T. Freeman [email protected]
Thomas and Gerd Perkins Professor, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139. E-mail: [email protected]
Oral Büyüköztürk [email protected]
Professor, Dept. of Civil and Environmental Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139 (corresponding author). E-mail: [email protected]

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