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Infrasound-Based Noncontact Sensing for Bridge Structural Health Monitoring
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.
Infrasound-Based Noncontact Sensing for Bridge Structural Health Monitoring
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.
Infrasound-Based Noncontact Sensing for Bridge Structural Health Monitoring
Lobo-Aguilar, Sergio (Autor:in) / Zhang, Zhenyu (Autor:in) / Jiang, Zhaoshuo (Autor:in) / Christenson, Richard (Autor:in)
08.03.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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