Automated Change Diagnosis of Single-Column-Pier Bridges Based on 3D Imagery Data

Ying Shi, Wen Xiong, Vamsisai Kalasapudi, Chao Geng, Cheng Zhang, Pingbo Tang

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

1 Scopus citations

Abstract

Conventional structural defect detection methods, such as visual nspection, in-situ testing and Bayesian model updating, etc., have been widely applied in the condition assessments of bridge structures. However, spatial data collection and processing required by these methods are time-consuming and error-prone, and subject to human experiences. To address these challenges, the paper presents an automated bridge condition assessment method based on 3D laser scanning technique, which can rapidly detail the 3D geometry of bridge structures. With a computer-assisted automatic data analysis algorithm, the geometric variations of bridges can be real-timely traced and quantitatively digitized. Then a structural system identification method is proposed to automatically reveal the developing trend of the collapse mechanism behind these measured geometric variations. By doing this, a timely warning can be given of the possible structural failure. A case study on single-column-pier bridges was given by tracing the variations of bending, torsional and lateral deformations of girders, and correlated deformations of bearings to demonstrate the 3D laser scanning technique for diagnosis of the structural condition and prediction of failure modes. This study concluded that the proposed method is of great potential to identification, prediction, and assessment for the possible defects of existing bridges.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationSensing, Simulation, and Visualization - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
PublisherAmerican Society of Civil Engineers (ASCE)
Pages91-98
Number of pages8
Volume2017-June
ISBN (Electronic)9780784480830
StatePublished - 2017
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: Jun 25 2017Jun 27 2017

Other

Other2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
CountryUnited States
CitySeattle
Period6/25/176/27/17

Keywords

  • Bridge assessment
  • Change diagnosis
  • Laser scanning
  • Spatial analysis

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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  • Cite this

    Shi, Y., Xiong, W., Kalasapudi, V., Geng, C., Zhang, C., & Tang, P. (2017). Automated Change Diagnosis of Single-Column-Pier Bridges Based on 3D Imagery Data. In Computing in Civil Engineering 2017: Sensing, Simulation, and Visualization - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017 (Vol. 2017-June, pp. 91-98). American Society of Civil Engineers (ASCE).