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

Echo01:06

Echo

629
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
629

You might also read

Related Articles

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

Sort by
Same author

Integrating Microstructures and Dual Constitutive Models in Instrumented Indentation Technique for Mechanical Properties Evaluation of Metallic Materials.

Materials (Basel, Switzerland)·2025
Same author

Study on the Approach to Obtaining Mechanical Properties Using Digital Image Correlation Technology.

Materials (Basel, Switzerland)·2025
Same author

Optimization of Hybrid Composite-Metal Joints: Single Pin.

Materials (Basel, Switzerland)·2025
Same author

A 3D Elastoplastic Constitutive Model Considering Progressive Damage Behavior for Thermoplastic Composites of T700/PEEK.

Materials (Basel, Switzerland)·2024
Same author

New Numerical Method Based on Linear Damage Evolution Law for Predicting Mechanical Properties of TiB<sub>2</sub>/6061Al.

Materials (Basel, Switzerland)·2023
Same author

Special Issue "Extreme Mechanics in Multiscale Analyses of Materials".

Materials (Basel, Switzerland)·2023

Related Experiment Video

Updated: Sep 27, 2025

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.3K

Acoustic Emission Source Location Using Finite Element Generated Delta-T Mapping.

Han Yang1,2, Bin Wang2, Stephen Grigg1

  • 1TWI Ltd., Granta Park, Great Abington, Cambridge CB21 6AL, UK.

Sensors (Basel, Switzerland)
|April 12, 2022
PubMed
Summary
This summary is machine-generated.

Finite Element (FE) modeling speeds up Acoustic Emission (AE) testing by generating training data for delta-T mapping. This enhances damage location accuracy in complex structures, making AE testing more practical.

Keywords:
Acoustic EmissionHsu-Nielsen sourcesNon-Destructive EvaluationStructural Health Monitoringcomplex platedelta-T mappingfinite elementsource location

More Related Videos

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
06:34

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

Published on: January 6, 2023

1.7K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.6K

Related Experiment Videos

Last Updated: Sep 27, 2025

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.3K
Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes
06:34

Finite Element Modeling for the Simulation of the Quasi-Static Compression of Corrugated Tapered Tubes

Published on: January 6, 2023

1.7K
Finite Element Modelling of a Cellular Electric Microenvironment
08:23

Finite Element Modelling of a Cellular Electric Microenvironment

Published on: May 18, 2021

3.6K

Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Non-Destructive Evaluation (NDE)

Background:

  • Acoustic Emission (AE) testing offers superior damage location capabilities compared to other NDE methods.
  • The delta-T mapping technique provides accurate AE source localization in complex structures.
  • Current delta-T mapping methods are hindered by time-consuming data training, limiting large-scale applications.

Purpose of the Study:

  • To develop a more efficient method for training AE source localization models.
  • To reduce the time and effort associated with manual data collection and processing for delta-T mapping.
  • To apply Finite Element (FE) modeling for generating training data for AE event localization.

Main Methods:

  • A Finite Element (FE) model was developed to simulate AE wave propagation and generate delta-T mapping data.
  • The FE model was validated using experimental data from Hsu-Nielsen (H-N) sources on a simple plate.
  • The validated FE model was applied to a complex plate for planar AE source localization.

Main Results:

  • The FE model demonstrated consistency with experimental data during validation.
  • FE-generated delta-T mapping data achieved a reasonable degree of source location accuracy on a complex plate.
  • The average error in AE source location using FE-generated data was 3.88 mm.

Conclusions:

  • Finite Element (FE) modeling offers a viable solution to accelerate the training process for delta-T mapping in AE testing.
  • This FE-based approach significantly reduces the manual effort required for data acquisition and processing.
  • The method shows promise for enabling large-scale application of AE testing on complex structures.