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 language | English |
|---|---|
| Article number | 1066 |
| Journal | Applied Sciences (Switzerland) |
| Volume | 15 |
| Issue number | 3 |
| DOIs | |
| State | Published - 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
Fingerprint
Dive into the research topics of 'Discoloration Characteristics of Mechanochromic Sensors in RGB and HSV Color Spaces and Displacement Prediction'. Together they form a unique fingerprint.Press/Media
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver