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

Compacting Factor test01:22

Compacting Factor test

185
The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
185
Measurement of Air Content in Concrete01:23

Measurement of Air Content in Concrete

176
Air content measurement in concrete is critical for ensuring structural integrity and durability of concrete structures, especially in environments prone to severe weather conditions. Accurate air content analysis optimizes concrete's resistance to freeze-thaw cycles and enhances its workability and strength. Several methods are standardized under ASTM guidelines to measure the air content in fresh concrete, each suitable for different concrete types and conditions.
The pressure method,...
176
Vebe Test01:22

Vebe Test

173
The Vebe test is a method used to measure the workability of concrete, particularly effective for dry concrete mixes. This test employs a specific apparatus that includes a cylindrical chamber, a standard slump cone, and a transparent disc-shaped rider, all mounted on a vibrating table. The cylindrical chamber has dimensions of nine and a half inches in diameter and eight inches in height.
To conduct the test, concrete is placed into the slump cone. The concrete is filled in layers and...
173
Moisture Content and Bulking of Aggregate01:10

Moisture Content and Bulking of Aggregate

171
The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
171
Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

143
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...
143
Slump Test01:20

Slump Test

265
The slump test is a widely used method to measure the workability of concrete. It employs a 12-inch high truncated cone mold that tapers from eight inches at the base to four inches at the top. Before testing, the mold is securely attached to a flat base and dampened.
Concrete is poured into the mold in three layers to conduct the test. Each layer is compacted 25 times with a steel tamping rod, which has a five-eighths-inch diameter and a rounded end, to ensure even distribution and eliminate...
265

You might also read

Related Articles

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

Sort by
Same author

Calcium sulphate-based soybean salting-out urease purification for enzyme-induced carbonate precipitation in road base stabilisation.

Scientific reports·2026
Same author

Beyond Conventional Monitoring: A Semantic Segmentation Approach to Quantifying Traffic-Induced Dust on Unsealed Roads.

Sensors (Basel, Switzerland)·2024
Same author

A benchmark dataset for binary segmentation and quantification of dust emissions from unsealed roads.

Scientific data·2023
Same author

Detection of Defects in Geomembranes Using Quasi-Active Infrared Thermography.

Sensors (Basel, Switzerland)·2021
Same author

Leak Detection in Water Pipes Using Submersible Optical Optic-Based Pressure Sensor.

Sensors (Basel, Switzerland)·2018
Same author

Determination of the State of Strain of Large Floating Covers Using Unmanned Aerial Vehicle (UAV) Aided Photogrammetry.

Sensors (Basel, Switzerland)·2017

Related Experiment Video

Updated: Jul 16, 2025

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.
07:32

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.

Published on: June 4, 2021

5.2K

An Intelligent Compaction Analyzer: A Versatile Platform for Real-Time Recording, Monitoring, and Analyzing of Road

Rajitha Ranasinghe1, Arooran Sounthararajah1, Jayantha Kodikara1

  • 1SPARC Hub, Department of Civil Engineering, Monash University, Clayton Campus, Clayton, VIC 3800, Australia.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
Summary

A new Intelligent Compaction Analyzer (ICA) platform enhances road construction by enabling real-time visualization of compaction data and retrofitting to existing rollers, improving overall quality control.

Keywords:
accelerometerembedded systemglobal navigation system (GNSS)intelligent compactionintelligent compaction measurement values (ICMV)real-time kinematic positioning (RTK)road compactionsingle-board computer (SBC)

More Related Videos

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
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K

Related Experiment Videos

Last Updated: Jul 16, 2025

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.
07:32

Monitoring Pedogenic Inorganic Carbon Accumulation Due to Weathering of Amended Silicate Minerals in Agricultural Soils.

Published on: June 4, 2021

5.2K
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
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.2K

Area of Science:

  • Geotechnical Engineering
  • Construction Technology
  • Materials Science

Background:

  • Intelligent compaction (IC) monitors geomaterial compaction during road construction using non-contact sensors.
  • Current IC devices lack real-time multi-value visualization, retrofittability, environmental correction, specification integration, and comprehensive parameter recording.

Purpose of the Study:

  • To develop an innovative, retrofittable platform to overcome the limitations of existing intelligent compaction devices.
  • To enhance real-time monitoring and analysis of geomaterial compaction in road construction.

Main Methods:

  • Development of a retrofittable Intelligent Compaction Analyzer (ICA) platform with integrated hardware and software.
  • Implementation of real-time calculation of acceleration amplitude-based ICMVs and stiffness-based parameters.
  • Real-time display of spatial distributions of compaction parameters using color-coded maps.

Main Results:

  • The ICA platform effectively calculates conventional and stiffness-based compaction parameters.
  • It provides real-time, color-coded spatial maps of compaction data during the construction process.
  • The platform addresses limitations in visualization, retrofittability, and data integration for intelligent compaction.

Conclusions:

  • The developed ICA platform offers a significant advancement in intelligent compaction technology.
  • It enables improved real-time monitoring, analysis, and performance-based compaction in road construction.
  • The retrofittable design enhances applicability to existing construction equipment.