Damage Detection in Tires From Strain Values Calculated Using Digital Image Correlation

• Author / Creator

  Kotchon, Amanda Christine

• Tire failure in mining operations can hazardous, resulting in financial and productivity losses. There are opportunities to improve tire monitoring systems by safely and remotely providing full-field measurements of tire properties. An optical fault detection system has been developed to investigate the feasibility of using digital image correlation to measure displacement and strain on a tire surface with the aim of detecting tire damage. This study defines metrics for damage visibility and examines the visibility of different damage types at multiple orientations, under various loading conditions in a laboratory setting. Internal and external damage was successfully detected from changes in surface strain. Knowledge gained from this investigation can be used to drive the future development of industrial tire monitoring solutions.

• Subjects / Keywords

  • Tires
  • Image correlation
  • Condition monitoring
  • Rubber strain
  • Damage detection
  • Haulage tires
  • Fault detection
  • Strains
  • Tire

• Graduation date

  Spring 2013

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R3GP9H

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.