Automatic Correlated Vibration Pattern Analysis for a Rapid Remote Scour Assessment of Civil Infrastructure

Vamsi Sai Kalasapudi, Pingbo Tang, Jing Du

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The free vibration of bridges and patterns in bridge-vehicle dynamic interactions can help signify decaying components of bridges and predict structural risks, such as scouring. Traditional methods - including contact sensors, Laser vibrometers, and videogrammetric algorithms - often require a time-consuming process of manual interpretation to identify anomalous vibration modes that imply underlying defects. Engineers can hardly examine all possible correlations between vibration modes and various scouring possibilities, because the number of combinations of vibration modes and possible scouring conditions is exponentially large. Using a bridge as an example, this paper examines an approach that automatically correlates the vibrations of bridge components captured in videos with potential scouring problems through an algorithm that automatically updates a numerical simulation model of the bridge based on video analyses. An algorithm then simulates various scenarios of scouring on Finite Element Analysis Model of the bridge, thereby determining the most likely scouring condition as those that produce similar vibrations extracted from videos. The authors tested this algorithm on a real bridge and found the actual length of the scour of a column by correlating the frequency extracted from the video data to that of frequency determined from FE analysis.

Original languageEnglish (US)
Title of host publicationConstruction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016
PublisherAmerican Society of Civil Engineers (ASCE)
Pages819-828
Number of pages10
ISBN (Electronic)9780784479827
DOIs
StatePublished - 2016
EventConstruction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan, CRC 2016 - San Juan, Puerto Rico
Duration: May 31 2016Jun 2 2016

Other

OtherConstruction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan, CRC 2016
CountryPuerto Rico
CitySan Juan
Period5/31/166/2/16

Fingerprint

Scour
Bridge components
Contact sensors
Finite element method
Engineers
Defects
Lasers
Computer simulation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Kalasapudi, V. S., Tang, P., & Du, J. (2016). Automatic Correlated Vibration Pattern Analysis for a Rapid Remote Scour Assessment of Civil Infrastructure. In Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016 (pp. 819-828). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784479827.083

Automatic Correlated Vibration Pattern Analysis for a Rapid Remote Scour Assessment of Civil Infrastructure. / Kalasapudi, Vamsi Sai; Tang, Pingbo; Du, Jing.

Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016. American Society of Civil Engineers (ASCE), 2016. p. 819-828.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kalasapudi, VS, Tang, P & Du, J 2016, Automatic Correlated Vibration Pattern Analysis for a Rapid Remote Scour Assessment of Civil Infrastructure. in Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016. American Society of Civil Engineers (ASCE), pp. 819-828, Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan, CRC 2016, San Juan, Puerto Rico, 5/31/16. https://doi.org/10.1061/9780784479827.083
Kalasapudi VS, Tang P, Du J. Automatic Correlated Vibration Pattern Analysis for a Rapid Remote Scour Assessment of Civil Infrastructure. In Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016. American Society of Civil Engineers (ASCE). 2016. p. 819-828 https://doi.org/10.1061/9780784479827.083
Kalasapudi, Vamsi Sai ; Tang, Pingbo ; Du, Jing. / Automatic Correlated Vibration Pattern Analysis for a Rapid Remote Scour Assessment of Civil Infrastructure. Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan - Proceedings of the 2016 Construction Research Congress, CRC 2016. American Society of Civil Engineers (ASCE), 2016. pp. 819-828
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