Infrasound-Based Noncontact Sensing for Bridge Structural Health Monitoring
Publication: Journal of Bridge Engineering
Volume 24, Issue 5
Abstract
This study demonstrates the use of infrasound measurements from microphones as a means of noncontact sensing to capture the dynamic properties of structures for structural health monitoring (SHM). A pilot study using an in-service highway bridge in Connecticut is conducted to compare infrasound and accelerometer-based SHM using a frequency domain peak-picking method. A three-dimensional finite-element (FE) model is developed to validate the results. Potential benefits and limitations of infrasound-based SHM are discussed. An attention model from machine learning is further proposed to increase the signal-to-noise ratio of the microphone measurements and provide an unbiased rapid means of identifying the modal frequencies of the bridge.
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Acknowledgments
The authors would like to acknowledge the support of the Connecticut DOT (SPR-2265, SPR-2271, and SPR-2290); the College of Science and Engineering and the School of Engineering of San Francisco State University; and the efforts of numerous employees at the Connecticut DOT, in particular Anne-Marie McDonnell and Paul Dattilio. The opinions, findings, and conclusions expressed in the publication are those of the authors and not necessarily those of the Connecticut DOT or the Federal Highway Administration.
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Information & Authors
Information
Published In
Journal of Bridge Engineering
Volume 24 • Issue 5 • May 2019
Copyright
© 2019 American Society of Civil Engineers.
History
Received: May 3, 2018
Accepted: Oct 25, 2018
Published online: Mar 8, 2019
Published in print: May 1, 2019
Discussion open until: Aug 8, 2019
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