Jove
Visualize
Contact Us

Related Concept Videos

Design Example: Joints in Concrete Pavements01:28

Design Example: Joints in Concrete Pavements

486
Concrete pavement joints are essential for maintaining the structural integrity and longevity of pavement by controlling where and how the pavement cracks. These joints can be categorized based on their functions, such as contraction or control joints, construction joints, isolation joints, and expansion joints.
Contraction joints are typically formed by sawing a groove into the concrete shortly after it has hardened. This creates a weakened vertical plane, deliberately encouraging cracking at...
486
Abrasion Resistance of Concrete01:23

Abrasion Resistance of Concrete

522
Abrasion resistance is an essential characteristic of concrete that determines its durability and longevity under various wear conditions. Concrete surfaces are vulnerable to different types of abrasion. For instance, surfaces may wear down due to the constant movement of vehicles or be eroded by solids carried in water, as seen in concrete canal linings. Specific tests are conducted to measure the abrasion resistance of concrete.
One such test is the revolving disc test, where three plates...
522
Taping Over Different Ground Profiles01:12

Taping Over Different Ground Profiles

332
Taping over varying ground profiles requires careful adaptation to achieve accurate measurements. On smooth, level ground with minimal vegetation, the tape can rest directly on the ground. Here, the taping team, typically consisting of a head and a rear tapeman, coordinates their positions with clear communication. The rear tapeman holds the tape at the starting point and guides the head tapeman toward a range pole placed beyond the endpoint, using hand or voice signals to ensure alignment.On...
332
Masonry Paving01:21

Masonry Paving

489
The construction of masonry paving involves using materials such as bricks, stones, and concrete masonry units. These materials are chosen for their shape, color, strength, and resistance to abrasion and weathering. Masonry units can be installed dry on a thin layer of sand and a gravel base, or they can be embedded in mortar or asphalt on a concrete slab. For areas subjected to heavy vehicular loads, a rigid base layer of reinforced or unreinforced concrete is recommended. In contrast,...
489
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

501
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...
501

You might also read

Related Articles

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

Sort by
Same author

Dataset for surface and subsurface characterization of removable urban pavements with a functionalized surface (RUP-FS) using multi-technique measurements.

Data in brief·2026
Same author

Synthetic GPR datasets to evaluate hybridization inverse approach for pavement tack coat characterization-Geometrical and physical parametric study.

Data in brief·2025
Same author

Numerical data for modelling pavement deflection behaviour under the TSD.

Data in brief·2024
Same author

Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring.

Sensors (Basel, Switzerland)·2024
Same author

Are there double knots in proteins? Prediction and <i>in vitro</i> verification based on TrmD-Tm1570 fusion from <i>C. nitroreducens</i>.

Frontiers in molecular biosciences·2024
Same author

Knot or not? Identifying unknotted proteins in knotted families with sequence-based Machine Learning model.

Protein science : a publication of the Protein Society·2024
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 Video

Updated: Jan 17, 2026

Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight
08:03

Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight

Published on: May 31, 2022

5.6K

Experimental GPR datasets to characterize multi-layered pavement structures-Tack coat evaluation using hybridization

Grégory Andreoli1, Amine Ihamouten2, David Souriou3

  • 1Gustave Eiffel University, MAST/EMGCU - Champs-sur-Marne, F-13300 Salon-de-Provence, France.

Data in Brief
|September 16, 2025
PubMed
Summary
This summary is machine-generated.

This study uses impulse Ground Penetrating Radar (GPR) to analyze pavement layers and tack coat bonding. Machine learning models accurately map these features, improving infrastructure monitoring.

Keywords:
ElectromagnetismInterfaceMachine learningRadar

More Related Videos

Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall
12:21

Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall

Published on: January 6, 2023

4.7K
Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
09:38

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

9.2K

Related Experiment Videos

Last Updated: Jan 17, 2026

Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight
08:03

Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight

Published on: May 31, 2022

5.6K
Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall
12:21

Determination of the Friction Coefficients of Icy Pavements Under Different Amounts of Snowfall

Published on: January 6, 2023

4.7K
Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
09:38

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

9.2K

Area of Science:

  • Civil Engineering
  • Geophysics
  • Materials Science

Background:

  • Non-destructive testing (NDT) is crucial for pavement verification and monitoring.
  • Conventional Ground Penetrating Radar (GPR) struggles with thin pavement layers and tack coat characterization.
  • Accurate assessment of tack coat is vital for ensuring proper bonding and pavement longevity.

Purpose of the Study:

  • To develop and validate a method for characterizing tack coat layers in pavements using impulse GPR.
  • To create a comprehensive database of pavement structures with controlled variations for research.
  • To distinguish between areas with and without tack coat and detect subtle geometric variations.

Main Methods:

  • Impulse GPR with multiple central frequencies was used on controlled pavement structures.
  • A database was created with variations in materials, geometries, and tack coat emulsion quantity.
  • A hybrid Machine Learning/Full Waveform Inversion (FWI) approach was explored for data processing.
  • Support Vector Machine (SVM) model was employed for data classification and mapping.

Main Results:

  • The impulse GPR system with ground-coupled bowtie antennas was effective in data acquisition.
  • The SVM model successfully classified acquired data, distinguishing tack coat presence.
  • Results were mapped as electromagnetic images, visualizing pavement layer characteristics.
  • The methodology shows promise for enhanced pavement layer characterization.

Conclusions:

  • Impulse GPR, combined with machine learning, offers a viable solution for detailed pavement layer analysis.
  • This approach enhances the capability to assess critical thin layers like tack coats.
  • The developed methodology supports improved pavement design, construction quality control, and long-term monitoring.