Jove
Visualize
Contact Us

Related Concept Videos

Microcracking in Concrete01:20

Microcracking in Concrete

208
Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
208
Types of Non-structural Cracks in Concrete01:28

Types of Non-structural Cracks in Concrete

244
Non-structural cracks are primarily of three types: plastic, early-age thermal, and drying shrinkage cracks. Plastic cracks are further classified into plastic shrinkage cracks and plastic settlement cracks.
Plastic shrinkage cracks typically form within hours after the concrete is poured. The concrete's surface dries faster than the bottom, creating tensile stress that the still-plastic concrete cannot withstand, leading to diagonal or randomly patterned cracks on the concrete surface.
244

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Synthesis, in vitro and in vivo biological evaluation, and comprehensive understanding of structure-activity relationships of dipeptidyl boronic acid proteasome inhibitors constructed from β-amino acids.

Journal of medicinal chemistry·2010
Same author

Evaluation of the association between the AC3 genetic polymorphisms and obesity in a Chinese Han population.

PloS one·2010
Same author

Structure of yeast regulatory subunit: a glimpse into the evolution of PKA signaling.

Structure (London, England : 1993)·2010
Same author

[Effect of Rhizoma Coptidis coadministration with Cortex Cinnamomi on tissue distribution of berberine in rats].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2010
Same author

Exosomal-like vesicles with immune-modulatory features are present in human plasma and can induce CD4+ T-cell apoptosis in vitro.

Transfusion·2010
Same author

Qualitative analysis and simultaneous quantification of phenolic compounds in the aerial parts of Salvia miltiorrhiza by HPLC-DAD and ESI/MS(n).

Phytochemical analysis : PCA·2010
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Sep 10, 2025

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.3K

A crack detection model fusing local details and global context for nuclear cladding coating surfaces.

Wei Quan1, Xiwen Li2, Jie Yang2

  • 1School of Electrical Engineering, Southwest Jiaotong University, No. 999, Xi'an Road, Pidu District, Chengdu, Sichuan, 611756, China. wquan@swjtu.edu.cn.

Scientific Reports
|August 22, 2025
PubMed
Summary

This study introduces CrackCTFuse, a new AI model for detecting cracks on nuclear cladding surfaces. The model significantly improves crack detection accuracy, crucial for nuclear power plant safety.

More Related Videos

Experimental Multiscale Methodology for Predicting Material Fouling Resistance
09:13

Experimental Multiscale Methodology for Predicting Material Fouling Resistance

1.5K
Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation
04:58

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation

Published on: January 6, 2023

2.4K

Related Experiment Videos

Last Updated: Sep 10, 2025

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.3K
Experimental Multiscale Methodology for Predicting Material Fouling Resistance
09:13

Experimental Multiscale Methodology for Predicting Material Fouling Resistance

1.5K
Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation
04:58

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation

Published on: January 6, 2023

2.4K

Area of Science:

  • Materials Science
  • Nuclear Engineering
  • Computer Vision

Background:

  • Surface crack detection in nuclear cladding is vital for safe nuclear power plant operation.
  • Existing methods struggle with imbalanced data, complex crack morphology, and subtle crack features.

Purpose of the Study:

  • To develop a novel and effective crack detection model for nuclear cladding coating surfaces.
  • To address limitations in current crack detection techniques for nuclear applications.

Main Methods:

  • Proposed a novel crack detection model named CrackCTFuse.
  • Incorporated a local feature enhancement module for edge details.
  • Integrated a feature fusion module for combining local and global information.
  • Utilized a multi-scale convolutional attention module for enhanced feature representation.

Main Results:

  • CrackCTFuse effectively captures local and global features in crack images.
  • The model demonstrated superior performance on a dedicated nuclear cladding dataset.
  • Achieved a Mean Intersection over Union (MIoU) of 92.70% and an F1-score of 92.54%.

Conclusions:

  • The CrackCTFuse model offers a significant advancement in nuclear cladding surface crack detection.
  • The proposed architecture enhances the perception and representation of crack features at multiple scales.
  • This improved detection capability contributes to enhanced safety and operational integrity of nuclear power plants.