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Related Concept Videos

Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

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The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by...
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Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

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Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
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Elasticity in Concrete01:20

Elasticity in Concrete

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Upon subjecting concrete to moderate or high uniaxial compressive or tensile stresses, the strain response is non-linear relative to the stress applied. As the stress is removed, the resulting stress-strain curve deviates from the original path traced during loading, creating a hysteresis loop, indicative of the concrete's non-linear and non-elastic properties. Typically, a material's modulus of elasticity, which is a measure of the material's stiffness, is inferred from the linear...
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Measurement of Air Content in Concrete01:23

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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,...
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Non-destructive Tests for Concrete Strength01:12

Non-destructive Tests for Concrete Strength

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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...
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In analyzing a structural member composed of two different materials with identical cross-sectional areas, it is crucial to understand how their distinct elastic properties affect the member's response under load. The analysis involves assessing stress and strain distributions using the transformed section concept, which accounts for variations in material properties.
Hooke's Law determines stress in each material, stating that stress is proportional to strain but varies due to each...
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Dataset used to develop soft computing models that predict the stiffness modulus of bituminous mixtures.

Lee P Leon1, Hector Martin2, Upaka Rathnayake3

  • 1Department of Civil and Environmental Engineering, The Faculty of Engineering, The University of West Indies, St. Augustine 32080, Trinidad and Tobago.

Data in Brief
|April 16, 2024
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This study presents data on asphalt mixtures, focusing on Indirect Tensile Stiffness Modulus (ITSM) measurements. Soft computing models were developed to predict ITSM, reducing the need for extensive lab testing.

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Asphalt concreteGene expression programmingIndirect tensile stiffness modulusMulti expression programmingPavement designPavement materials

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Area of Science:

  • Civil Engineering
  • Materials Science
  • Pavement Engineering

Background:

  • Asphalt mixtures are crucial for road construction.
  • Accurate measurement of asphalt properties like Indirect Tensile Stiffness Modulus (ITSM) is vital for quality control.
  • Existing methods for determining ITSM can be time-consuming and complex.

Purpose of the Study:

  • To present a dataset for measuring the Indirect Tensile Stiffness Modulus (ITSM) of various asphalt mixtures.
  • To develop predictive models for ITSM using soft computing techniques.
  • To facilitate quality control and assurance (QC & QA) in asphalt concrete mix design.

Main Methods:

  • Collection of data on laboratory and field asphalt mixtures.
  • Inclusion of variables such as temperature, binder properties, aggregate characteristics, and mix design parameters.
  • Development of soft computing models using the collected data.

Main Results:

  • A comprehensive dataset for ITSM measurement is provided.
  • Soft computing models were successfully developed, correlating various parameters with ITSM.
  • The developed models offer an alternative to traditional, labor-intensive testing methods.

Conclusions:

  • The presented data and developed models enhance the understanding of asphalt mixture behavior.
  • Soft computing provides an efficient approach for predicting ITSM in asphalt concrete.
  • This approach supports improved quality control and assurance in pavement engineering.