System Design for Highly Accurate and Efficient Target Detection in Triaxial Testing

For photogrammetry-based volume measurement, existing coded target (CT) recognition and identification algorithms have limitations in perspective deformation, freely rotated CTs, and unfavorable light conditions. This study will develop an innovative system design for highly accurate and efficient target detection in triaxial testing. The proposed method will remain all the merits in existing methods and have several improvements, including blob analysis, automatic outlier identification, and an increased number of points on the membrane for more representative 3-D results. The developed photogrammetry-based volume measurement method with the target detection technology will be applied in the widely used triaxial tests to evaluate stress-strain behavior of geomaterials. The method will improve the testing accuracy and efficiency. The low-cost testing system has the potential to be widely adopted by government agencies, contractors, and research institutes.

• Record URL:
  https://tridurle.wsu.edu/system-design-for-highly-accurate-and-efficient-target-detection-in-triaxial-testing/

Language

• English

Project

• Status: Active
• Funding: $180000
• Contract Numbers:

  69A3551947137

• Sponsor Organizations:

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Civil & Environmental Engineering
  Pullman, Washington  United States  99164

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  Missouri Department of Transportation

  1617 Missouri Boulevard
  P.O. Box 270
  Jefferson City, MO  United States  65102

  Missouri University of Science & Technology, Rolla

  Department of Engineering
  202 University Center
  Rolla, MO    65409
• Managing Organizations:

  Transportation Infrastructure Durability & Life Extension

  Washington State University
  Civil & Environmental Engineering
  Pullman, Washington  United States  99164
• Project Managers:

  Bruner, Britain

• Performing Organizations:

  Missouri University of Science & Technology, Rolla

  Department of Engineering
  202 University Center
  Rolla, MO    65409
• Principal Investigators:

  Zhang, Xiong

• Start Date: 20230701
• Expected Completion Date: 20240630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers
• Subprogram: Transportation Infrastructure Durability and Life Extension

Subject/Index Terms

• TRT Terms: Detection and identification technologies; Materials tests; Photogrammetry; System design; Triaxial shear tests
• Subject Areas: Geotechnology; Highways; Materials;

Filing Info

• Accession Number: 01899105
• Record Type: Research project
• Source Agency: National Center for Transportation Infrastructure Durability and Life-Extension
• Contract Numbers: 69A3551947137
• Files: UTC, RIP
• Created Date: Nov 14 2023 8:26PM