Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA) [supporting datasets]

Moreu, Fernando; Lippitt, Christopher D.; Yuan, Xinxing; Transportation Consortium of South-Central States (Tran-SET) University Transportation Center for Region 6; Louisiana State University (Baton Rouge, La.)

doi:10.5281/zenodo.4273237

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Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA) [supporting datasets]

2020-10-01
See Associated Publication(s)
By Moreu, Fernando ; Lippitt, Christopher D. ; Yuan, Xinxing

[PDF-195.77 KB]

English

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Details:

Creators:

Moreu, Fernando ; Lippitt, Christopher D. ; Yuan, Xinxing

Moreu, Fernando ; Lippitt, Christopher D. ; Yuan, Xinxing Less -
Corporate Creators:

Transportation Consortium of South-Central States (Tran-SET) University Transportation Center for Region 6 ; Louisiana State University (Baton Rouge, La.)

Transportation Consortium of South-Central States (Tran-SET) University Transportation Center for Region 6 ; Louisiana State University (Baton Rouge, La.) Less -
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Bridge Construction Construction Inspection Data Acquisition Data Collection Inspection Laser Radar LIDAR Quality Assurance Quality Control Recommendations Reinforced Concrete Specifications Standards
Publication/ Report Number:

19STUNM02
DOI:

https://doi.org/10.5281/zenodo.4273237
Resource Type:

Dataset
Geographical Coverage:

United States ; New Mexico

United States ; New Mexico Less -
Corporate Publisher:

Transportation Consortium of South-Central States
Abstract:

Transportation infrastructure construction quality control and quality assurance demands construction monitoring by field inspectors. Currently, these inspectors monitor infrastructure by measuring and photographing structures. These tasks allow them to assess any correction decision during construction or to inform about the quality of the construction process for the future. In order to promote and objective decisions obtained during infrastructure construction, the proposed research project developed and implemented a methodology to measure construction progress and compared it with the designed 3D shape, quantifying the difference. This proposed project includes implementation for the development of state department of transportation (DOT) standards that could be added in near future bridge construction documents. The New Mexico Department of Transportation (NMDOT) showed a strong interest in this topic. The experience of the principal investigators (PIs) on bridge design and construction, field inspection, and light detection and ranging (LIDAR) technology was integrated in order to evaluate the results with impact both in research and in industry. Specifically, the research results outline recommendations about standards for implementation of technology in specifications for NMDOT or other DOTs.
Format:

ZIP
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:446acc80c1fa56fc6366563d7b027062b0ceeeb1e4836c0af5c02f26e50dec68
Download URL:

https://rosap.ntl.bts.gov/view/dot/61957/dot_61957_DS1.pdf
File Type:

Bridge Construction Monitoring using LIDAR

json

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