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

Fiber Reinforced Concrete01:22

Fiber Reinforced Concrete

116
Fiber-reinforced concrete significantly enhances the structural and nonstructural properties of traditional concrete by incorporating fibers like steel, glass, and polymers. These fibers, varying from natural ones such as sisal and cellulose to manufactured ones like polypropylene and Kevlar, are mixed into hydraulic cement with aggregates. Steel fibers, often preferred for their robustness, contribute to improved ductility, toughness, and post-cracking performance. The concrete is classified...
116
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

167
The rebound hammer test, also known as the Schmidt hammer test, is a non-destructive technique for evaluating the hardness of concrete and, indirectly, the strength of concrete. It operates on the principle that the rebound of a spring-driven mass from a concrete surface correlates to the surface's hardness. The device comprises a mass within a tubular housing, a spring mechanism, and a plunger that strikes the concrete. Upon release, the energy imparted to the mass by the spring causes it...
167

You might also read

Related Articles

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

Sort by
Same author

Psychiatric and behavioral symptoms after pediatric herpes simplex virus type 1 encephalitis: An exploratory case series.

Bulletin of the Menninger Clinic·2026
Same author

The Liver S9 Proteome of Rat and Hamster: Global Profiling and Targeted Cytochrome P450 Quantification Reveal Induction-Responsive Remodeling.

Journal of proteome research·2026
Same author

Worked examples, cognitive aptitudes and the self-explanation mechanism - A replication.

The British journal of educational psychology·2026
Same author

From Sample to Mixed Reality: A Translational 3D MALDI Imaging Platform for Advanced 3D Spatial Omics Analysis of 3D Cell Culture Disease Models.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Comparative Proteomic Characterization of Serum-Free Cultivated HepG2 Cells Reveals Upregulated Drug Metabolism and Increased Oxidative Stress Protection.

Journal of proteome research·2025
Same author

On opportunities and challenges of large multimodal foundation models in education.

NPJ science of learning·2025

Related Experiment Video

Updated: Aug 13, 2025

Intermediate Strain Rate Material Characterization with Digital Image Correlation
07:59

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Published on: March 1, 2019

7.2K

A Feasibility Study of In-Situ Damage Visualization in Basalt-Fiber Reinforced Polymers with Open-Source Digital

Frank Fischer1, David Plappert1, Georg Ganzenmüller1,2

  • 1Department of Sustainable Systems Engineering (INATECH), Albert-Ludwigs-Universität, 79110 Freiburg, Germany.

Materials (Basel, Switzerland)
|January 21, 2023
PubMed
Summary

This study uses open-source Digital Volume Correlation (DVC) with X-ray micro-tomography to analyze damage in basalt fiber-reinforced polymers (BFRP). The method accurately detects small deformations, revealing internal defects non-destructively.

Keywords:
BFRPdigital volume correlationin-situµCT

More Related Videos

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 Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.5K

Related Experiment Videos

Last Updated: Aug 13, 2025

Intermediate Strain Rate Material Characterization with Digital Image Correlation
07:59

Intermediate Strain Rate Material Characterization with Digital Image Correlation

Published on: March 1, 2019

7.2K
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 Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
09:34

A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation

Published on: September 14, 2017

7.5K

Area of Science:

  • Materials Science and Engineering
  • Polymer Composites
  • Non-destructive Testing

Background:

  • Damage formation in basalt fiber-reinforced polymers (BFRP) is critical for structural integrity.
  • Conventional methods for defect detection in BFRP can be destructive or require specialized facilities.
  • In-situ X-ray computed micro-tomography (µCT) offers potential for internal damage visualization.

Purpose of the Study:

  • To analyze internal damage formation in BFRP using open-source Digital Volume Correlation (DVC).
  • To assess the accuracy and sensitivity of DVC for detecting micro-scale deformations in BFRP.
  • To demonstrate the capability of conventional µCT combined with DVC for non-destructive defect analysis.

Main Methods:

  • Acquisition of volumetric image data using in-situ X-ray computed micro-tomography (µCT) of BFRP samples under tensile load.
  • Application of the open-source image registration toolkit Elastix for obtaining full 3D displacement fields.
  • Validation of DVC accuracy using the method of manufactured solution and assessment of regularization benefits.

Main Results:

  • The developed DVC approach accurately detects deformations on the order of a fiber diameter (17 µm).
  • Regularization significantly improves the quality of DVC results for both manufactured solutions and real BFRP data.
  • Conventional µCT equipment coupled with DVC successfully identified internal defects in BFRP.

Conclusions:

  • Open-source DVC is a viable and accurate method for analyzing damage in BFRP using conventional µCT.
  • This technique can detect micro-scale defects previously requiring synchrotron facilities or destructive testing.
  • The study highlights the potential of DVC for advanced, non-destructive characterization of composite materials.