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 Experiment Videos

Processing of ultrasonic array signals for characterizing defects. Part II: experimental work.

Guillermo Rus1, Shi-Chang Wooh, Rafael Gallego

  • 1NDE Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. grus@ugr.es

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|November 21, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

The KPZ Equation of Kinetic Interface Roughening: A Variational Perspective.

Entropy (Basel, Switzerland)·2026
Same author

Advancing ex-vivo meniscus tissue characterization: sensitivity and accuracy of shear modulus measurements via supersonic shear imaging vs. biomechanical testing.

Ultrasonics·2025
Same author

Author Correction: Using torsional wave elastography to evaluate spring pot parameters in skin tumor mimicking phantoms.

Scientific reports·2024
Same author

Author Correction: Using torsional wave elastography to evaluate spring pot parameters in skin tumor mimicking phantoms.

Scientific reports·2024
Same author

Reliability and robustness of a novel preclinical torsional wave-based device for stiffness evaluation.

Scientific reports·2024
Same author

Using torsional wave elastography to evaluate spring pot parameters in skin tumor mimicking phantoms.

Scientific reports·2024
Same journal

Theoretical Foundations of the Echo Envelope Statistical Modeling: A Tutorial.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Practical Demonstrations of FR3-Band Thin-Film Lithium Niobate Acoustic Filter Design.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Real-Time Heterogeneous Helical Wave Spectrum Method for Transabdominal Passive Acoustic Mapping.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Cascaded Plane Wave Ultrasound Velocity Vector Imaging: In Vivo Feasibility in Carotid Arteries.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

Quantitative Acoustic Attenuation Scanning Using a Phase-Insensitive Ultrasound Computed Tomography System.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
Same journal

FPGA-Accelerated CNN Reconstruction for Low-Power Sparse-Array Ultrasound Imaging.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control·2025
See all related articles

This study introduces an inversion technique for quantitative nondestructive evaluation, successfully locating and sizing defects by analyzing frequency domain data. This method proves effective even when defect signals are obscured by other components.

Area of Science:

  • Engineering
  • Materials Science
  • Physics

Background:

  • Quantitative Nondestructive Evaluation (QNDE) relies on accurate defect characterization.
  • Previous work focused on signal synthesis and prediction using boundary element method and deconvolution.
  • Limitations exist in standard techniques for complex defect scenarios.

Purpose of the Study:

  • To develop and validate an inversion technique for defect localization and sizing in QNDE.
  • To process frequency domain information for improved defect detection.
  • To address challenges posed by masked defect signals.

Main Methods:

  • An inversion scheme processing frequency domain data.
  • Experimental validation using a side-drilled hole with a complex location.

Related Experiment Videos

  • Comparison with standard pulse-echo techniques.

    • Main Results:

    • The inversion technique successfully determined the position and size of the defect.
    • The method demonstrated effectiveness in cases where defect information was masked.
    • Frequency domain analysis proved advantageous over time-domain methods.

    Conclusions:

    • The proposed inversion technique offers a robust approach for quantitative defect characterization.
    • This method enhances the capabilities of ultrasonic NDE, particularly in challenging scenarios.
    • Frequency domain processing is a promising direction for advanced NDE techniques.