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Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

181
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...
181
Abrasion Resistance of Concrete01:23

Abrasion Resistance of Concrete

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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...
189
Impact Strength of Concrete01:21

Impact Strength of Concrete

318
Impact strength in concrete is a critical measure that reflects the material's capability to endure the forces applied during pile driving and when supporting machinery foundations that experience impulsive loads. It is also essential when handling precast concrete components to prevent accidental damage. The impact strength is assessed by observing the concrete's resistance to repeated impacts and energy absorption capacity. A key indicator of significant damage to concrete is when it...
318
Measurement of Air Content in Concrete01:23

Measurement of Air Content in Concrete

246
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,...
246
Fatigue Strength of Concrete01:22

Fatigue Strength of Concrete

266
Fatigue, in the context of materials science and engineering, refers to the weakening or failure of a material caused by repeatedly applied loads, even if these loads are below the strength limit of the material. Fatigue strength in concrete is a critical property that influences its durability and longevity. Concrete can fail in two ways due to fatigue. Static fatigue or creep rupture occurs under a constant load or one that increases slowly. The other failure mode is due to cyclical or...
266
Workability of Concrete01:25

Workability of Concrete

148
The workability of concrete is a crucial property that affects its handling, placing, and finishing during construction. It describes the ease with which concrete can be mixed, placed, compacted, and finished. Workability is primarily concerned with the concrete's movement and its ability to resist internal friction and external resistance from molds and reinforcements during the application process.
Concrete's workability is determined by its resistance to internal forces that arise...
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Updated: Aug 29, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder.

Nitisha Sharma1, Mohindra Singh Thakur1, Parveen Sihag2

  • 1Department of Civil Engineering, Shoolini University, Solan 173229, Himachal Pradesh, India.

Materials (Basel, Switzerland)
|September 9, 2022
PubMed
Summary

This study predicts concrete strength using waste marble powder. Gaussian process and support vector machines accurately forecast compressive and flexural strengths, reducing experimental time.

Keywords:
compressive strengthconcreteflexural strengthgaussian processeslinear regressionsupport vector machines

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Area of Science:

  • Materials Science
  • Civil Engineering
  • Computational Intelligence

Background:

  • Concrete strength is crucial for construction.
  • Waste marble powder presents disposal challenges.
  • Utilizing waste marble powder can enhance sustainability in concrete production.

Purpose of the Study:

  • To predict the compressive and flexural strengths of concrete mixes.
  • To evaluate the efficacy of various machine learning models in predicting concrete properties.
  • To assess the use of waste marble powder as a sustainable alternative in concrete.

Main Methods:

  • Experimental data from laboratory tests on concrete mixes.
  • Application of Support Vector Machines (SVM), SVM with bagging, Stochastic, Linear Regression, and Gaussian Processes (GP).
  • Statistical criteria were used to evaluate model performance.

Main Results:

  • Gaussian Process (GP) and Support Vector Machines (SVM) demonstrated high accuracy in predicting flexural and compressive strengths, respectively.
  • GP and SVM Stochastic models showed superior performance with high correlation coefficients (0.8235 and 0.9462) and low error metrics.
  • Curing days, aggregate type, cement content, water content, and marble powder content were identified as key predictors.

Conclusions:

  • GP and SVM are reliable methods for predicting concrete strength.
  • These computational models can significantly reduce experimental workload and time.
  • Waste marble powder can be effectively utilized as a partial replacement for cement and sand in concrete mixes.