Jove
Visualize
Contact Us
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 Concept Videos

Microcracking in Concrete01:20

Microcracking in Concrete

508
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...
508
Fatigue01:21

Fatigue

885
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
885
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

744
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
744
Vibrating Concrete01:19

Vibrating Concrete

432
Mechanical vibrators are instrumental in compacting newly poured concrete within formwork and around reinforcements. This process is essential to eliminate trapped air pockets and establish a dense concrete mass. One widely used method is vibrating by internal vibrators, often referred to as a poker vibrator or immersion vibrator. It is rapidly inserted through the full depth of the freshly laid concrete and slightly extends into the layer below it (which remains in a plastic state). Consistent...
432
Types of Non-structural Cracks in Concrete01:28

Types of Non-structural Cracks in Concrete

535
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.
535
Impact Loading on a Cantilever Beam01:13

Impact Loading on a Cantilever Beam

931
The analysis of a cantilever beam with a circular cross-section subjected to impact loading at its free end illustrates the conversion of potential energy from a dropped object into kinetic energy, which is then absorbed by the beam as strain energy. This process is crucial for understanding how materials behave under dynamic loads, which is important in fields such as construction and aerospace.
When an object is dropped onto the free end of a cantilever, its potential energy due to gravity is...
931

You might also read

Related Articles

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

Sort by
Same author

Remodeling Cell Adhesion Releases Cardiac Potential of Human Pluripotent Stem Cells with Continuous Proliferation and Accelerated Maturation.

International journal of biological sciences·2025
Same author

Evaluating regulatory influences on coal mine accidents in China using a fuzzy multi-criteria decision-making approach.

Scientific reports·2025
Same author

Applications of interpretable ensemble learning for workplace risk assessment: The Chinese coal industry as an example.

Risk analysis : an official publication of the Society for Risk Analysis·2025
Same author

Particle Size Distribution and Energy Dissipation in Drop Hammer Impact Damage of Gas-Containing Coal.

ACS omega·2024
Same author

Modeling of gas emission in coal mine excavation workface: a new insight into the prediction model.

Environmental science and pollution research international·2023
Same author

Glucagon-Like Peptide-1 (GLP-1) Rescue Diabetic Cardiac Dysfuntions in Human iPSC-Derived Cardiomyocytes.

Advanced biology·2022

Related Experiment Video

Updated: Feb 21, 2026

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

8.7K

Automatic crack detection method for loaded coal in vibration failure process.

Chengwu Li1, Dihao Ai1

  • 1Faculty of Resources and Safety Engineering, China University of Mining and Technology, Beijing, China.

Plos One
|October 4, 2017
PubMed
Summary

Detecting surface cracks in loaded coal using a vibration failure process and support vector machine (SVM) offers over 95% accuracy. This method enhances coal mine safety monitoring by identifying cracks effectively.

More Related Videos

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

9.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K

Related Experiment Videos

Last Updated: Feb 21, 2026

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

8.7K
A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
10:27

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System

Published on: June 12, 2019

9.2K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K

Area of Science:

  • Geotechnical Engineering
  • Mining Engineering
  • Materials Science

Background:

  • Surface cracks in coal and rock masses are critical indicators of destabilization and potential for dynamic disasters in mining.
  • Effective monitoring of these cracks is essential for ensuring safety in coal mining operations.
  • Existing methods may lack the precision required for real-time, automated detection.

Purpose of the Study:

  • To develop and validate an automated method for detecting surface cracks in loaded coal using vibration-induced failure.
  • To improve the accuracy and efficiency of coal mine safety monitoring through advanced crack identification techniques.
  • To leverage machine learning, specifically Support Vector Machine (SVM), for robust crack detection.

Main Methods:

  • A vibration-induced failure test system and industrial camera were employed to capture images of cracked coal surfaces.
  • Image processing techniques, including histogram equalization and hysteresis thresholding, were used for noise reduction and crack enhancement.
  • Manual labeling of 600 crack and non-crack regions was performed for supervised learning.
  • Feature extraction identified eight key crack characteristics for differentiation.
  • A Support Vector Machine (SVM) classifier was trained using the labeled image data.

Main Results:

  • The developed crack identification model achieved an accuracy exceeding 95%.
  • The proposed algorithm demonstrated superior performance compared to conventional crack detection methods.
  • The method effectively and automatically identifies cracks on the surface of coal and rock masses.

Conclusions:

  • The proposed vibration-induced failure and SVM-based method provides a highly accurate and automated solution for detecting surface cracks in loaded coal.
  • This technique significantly enhances the capabilities of coal mine safety monitoring systems.
  • The findings suggest a promising approach for proactive identification and mitigation of coal and rock dynamic disasters.