Fluorescence stress probing enhanced crack detection and quantification in ancient Chinese murals for deterioration mechanism analysis

Ancient Chinese murals are precious cultural heritage and vulnerable to structural defects like cracking and delamination, which severely impact their preservation. To address early damage detection and deepen mechanistic insights, this study applies fluorescence stress-sensing technology using mechanochromic 1,1,2,2-tetrakis(4-nitrophenyl)ethene (TPE-4N) coatings on laboratory mock-ups. Under UV light, microcracks (tens of microns) were visualized, quantified, and monitored via photographic analysis. Environmental aging tests revealed distinct defect patterns including failure within pigment layer (cracking) and interlayer debonding (cleavage, cupping, and lifting) with crack propagation rates quantitatively analyzed. Elevated adhesive concentrations and humidity variations exacerbated defects and influenced pigment layer failure modes due to the combined effects of pigment layer strength, interlayer bonding, and stress. Furthermore, crack-propagation dynamics in most samples exhibited three characteristic phases: induction, stable development, and saturation, underscoring the necessity for fatigue monitoring in cultural relic conservation to prevent sudden failure.

Authors

Institutions

Publication Details

Journal
npj Heritage Science
Published
2025-05-03
DOI
https://doi.org/10.1038/s40494-025-01709-8
Citations
3
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
2.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fluorescence stress probing enhanced crack detection and quantification in ancient Chinese murals for deterioration mechanism analysis

Weijing Sun, Danyang Wang, Wenkang Du, Hong Guo et al.
3 citations
npj Heritage Science
Infrastructure Maintenance and Monitoring
2.86
article

Fluorescence stress probing enhanced crack detection and quantification in ancient Chinese murals for deterioration mechanism analysis

Weijing Sun, Danyang Wang, Wenkang Du, Hong Guo, Xiang He
article en
3 citations

Abstract

Ancient Chinese murals are precious cultural heritage and vulnerable to structural defects like cracking and delamination, which severely impact their preservation. To address early damage detection and deepen mechanistic insights, this study applies fluorescence stress-sensing technology using mechanochromic 1,1,2,2-tetrakis(4-nitrophenyl)ethene (TPE-4N) coatings on laboratory mock-ups. Under UV light, microcracks (tens of microns) were visualized, quantified, and monitored via photographic analysis. Environmental aging tests revealed distinct defect patterns including failure within pigment layer (cracking) and interlayer debonding (cleavage, cupping, and lifting) with crack propagation rates quantitatively analyzed. Elevated adhesive concentrations and humidity variations exacerbated defects and influenced pigment layer failure modes due to the combined effects of pigment layer strength, interlayer bonding, and stress. Furthermore, crack-propagation dynamics in most samples exhibited three characteristic phases: induction, stable development, and saturation, underscoring the necessity for fatigue monitoring in cultural relic conservation to prevent sudden failure.

npj Heritage ScienceVol. 13(1)
Shanghai Museum (CN), Zhejiang Museum of Natural History (CN), University of Science and Technology Beijing (CN)
Cultural Heritage Administration, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 11%
Infrastructure Maintenance and Monitoring
2.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.