Study of concrete drilling for automated non-destructive evaluation and rehabilitation system for bridge decks

Mitja Trkov, Fei Liu, Jingang Yi, Haim Baruh

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

5 Scopus citations

Abstract

Robotic drilling is the basic process for the non-destructive rehabilitation (NDR) system in the Automated Non-destructive Evaluation and Rehabilitation System (ANDERS) for bridge decks. In this paper, we present a study and testing of a concrete drilling process that is used for robotic drilling process for bridge decks repair. We first review the ANDERS and NDR design. Then we present the experimental setup for the drilling process study. A set of testing experiments are performed considering drilling process parameters such as drill bit size, drill rotating speed, drill thrust force and types of concrete composites. Based on the experiments and analysis, we identify and find that the optimal set of drilling process parameters for the ANDERS application is 1/4-inch bit size, drill rotational speed of 1500 rpm and thrust force around 35 lbs. We also demonstrate that the monitoring of drill feeding displacement and thrust force cannot be used to detect and identify the cracks in bridge decks.

Original languageEnglish (US)
Title of host publicationNondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2011
DOIs
StatePublished - 2011
Externally publishedYes
EventNondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2011 - San Diego, CA, United States
Duration: Mar 7 2011Mar 10 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7983
ISSN (Print)0277-786X

Conference

ConferenceNondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2011
Country/TerritoryUnited States
CitySan Diego, CA
Period3/7/113/10/11

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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