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

107
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...
107
Three-Dimensional Analysis of Strain01:29

Three-Dimensional Analysis of Strain

204
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
204
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

271
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by...
271
X-ray Crystallography02:18

X-ray Crystallography

23.8K
The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
23.8K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

411
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
411

You might also read

Related Articles

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

Sort by
Same author

Expansion of the Clinical and Genetic Spectra of hnRNPA1-Associated Distal Myopathy in Two Korean Families.

Journal of clinical neurology (Seoul, Korea)·2026
Same author

Correction: Consistent MRI pattern in ADSS1 myopathy with variable clinical presentations: A Korean cohort study.

PloS one·2026
Same author

Consistent MRI pattern in ADSS1 myopathy with variable clinical presentations: A Korean cohort study.

PloS one·2026
Same author

CTRP1 regulates skeletal muscle differentiation through quality control of mitochondrial dynamics and function.

Molecular therapy : the journal of the American Society of Gene Therapy·2026
Same author

Comprehensive Characterization of Spastic Paraplegia in Korean Patients: A Single-Center Experience over Two Decades.

Yonsei medical journal·2025
Same author

Estimating the Prevalence of Autosomal Recessive Neuromuscular Diseases in the Korean Population.

Journal of Korean medical science·2025

Related Experiment Video

Updated: Jun 11, 2025

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation
04:58

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation

Published on: January 6, 2023

2.1K

A Proposed Algorithm Based on Variance to Effectively Estimate Crack Source Localization in Solids.

Young-Chul Choi1, Byunyoung Chung1, Doyun Jung1

  • 1Korea Atomic Energy Research Institute (KAERI), 989-111 Daedeok-daero, Yuseong, Daejeon 305-353, Republic of Korea.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm to pinpoint damage in rocks using acoustic emissions (AEs). The method effectively identifies crack waves even with low signal-to-noise ratios, enabling precise non-destructive damage localization.

Keywords:
acoustic emissionarrival timemoving windowsource localizationvariance

More Related Videos

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
00:05

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

Published on: September 29, 2019

8.2K
Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
07:37

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method

Published on: January 16, 2019

9.6K

Related Experiment Videos

Last Updated: Jun 11, 2025

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation
04:58

Mechanoluminescent Visualization of Crack Propagation for Joint Evaluation

Published on: January 6, 2023

2.1K
Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
00:05

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

Published on: September 29, 2019

8.2K
Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
07:37

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method

Published on: January 16, 2019

9.6K

Area of Science:

  • Geophysics
  • Materials Science
  • Non-destructive Testing

Background:

  • Acoustic emissions (AEs) are elastic waves from material damage, crucial for analyzing cracking and dislocation movement.
  • Non-destructive damage localization using AE sensors remains a significant challenge in solid materials.

Purpose of the Study:

  • To develop an algorithm for accurate crack wave arrival time determination.
  • To identify crack waves with low signal-to-noise ratios (SNRs) in rock materials.
  • To enable precise, non-destructive source localization of material damage.

Main Methods:

  • Utilizing the differing variance characteristics of crack waves and noise within a moving window.
  • Analyzing variance in crack wave velocities at potential true and imaginary locations.
  • Performing pencil lead break tests on rock samples to validate the algorithm.

Main Results:

  • Successfully identified wave arrival times for crack waves, even with low SNRs.
  • Accurately determined crack source locations by finding the minimum variance point.
  • Demonstrated the algorithm's effectiveness in real-world rock samples.

Conclusions:

  • The proposed algorithm accurately determines crack wave arrival times and source locations.
  • This method offers a promising tool for real-time damage evaluation and monitoring in underground structures.
  • Enhanced non-destructive testing capabilities for geological and civil engineering applications.