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Discoloration Characteristics of Mechanochromic Sensors in RGB and HSV Color Spaces and Displacement Prediction

  • Woo Joo Choi
  • , Myongkyoon Yang
  • , Ilhwan You
  • , Yong Sik Yoon*
  • , Gum Sung Ryu
  • , Gi Hong An
  • , Jae Sung Yoon
  • *Corresponding author for this work
  • Jeonbuk National University
  • Korean Institute of Civil Engineering and Building Technology
  • Korea Institute of Machinery and Materials

Research output: Contribution to journalJournal articlepeer-review

Abstract

Mechanochromic sensors are promising for structural health monitoring as they can visually monitor the deformation caused by discoloration. Most studies have focused on the large deformation problems over 100% strain; however, it is necessary to investigate the discoloration characteristics in a small deformation range to apply it to engineering structures, such as reinforced concrete. In this study, a photonic crystal-based discoloration sensor was investigated to determine the discoloration characteristics of the red, green, and blue (RGB) as well as hue, saturation, and value (HSV) color spaces according to displacement levels. B and S showed the highest sensitivity and linear discoloration at displacements < 1 mm, whereas R and H showed significant discoloration characteristics at displacements > 1 mm. The Vision Transformer model based on RGB and HSV channels was linearly predictable up to 4 mm displacement with an accuracy of R2 0.89, but errors were found at the initial displacement within 2 mm.

Original languageEnglish
Article number1066
JournalApplied Sciences (Switzerland)
Volume15
Issue number3
DOIs
StatePublished - 2025.02

Keywords

  • HSV
  • RGB
  • discoloration
  • mechanochromic sensor
  • structure health monitoring

Quacquarelli Symonds(QS) Subject Topics

  • Materials Science
  • Computer Science & Information Systems
  • Engineering - Petroleum
  • Data Science
  • Engineering - Chemical
  • Physics & Astronomy

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