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Related Concept Videos

Moisture Content and Bulking of Aggregate01:10

Moisture Content and Bulking of Aggregate

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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...
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Specific Gravity of Aggregate01:19

Specific Gravity of Aggregate

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Aggregates typically contain pores, which can be either permeable or impermeable. Considering the pores in the aggregates, the specific gravity of aggregates is defined in three different forms, namely, bulk or gross specific gravity, apparent specific gravity, and absolute specific gravity.
Bulk or gross specific gravity is calculated by taking the ratio of the mass of aggregates in the saturated surface-dry state to the total volume that includes both the solids and the voids within the...
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Porosity and Absorption of Aggregate01:20

Porosity and Absorption of Aggregate

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Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
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Bulk Density of Aggregate01:22

Bulk Density of Aggregate

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Bulk density refers to the mass of aggregate particles that would fill a unit volume. The concept of bulk density originates from the inability to pack aggregate particles in a manner that completely eliminates void spaces. Hence, the term bulk refers to the volume that encompasses both the aggregates and the voids. This measurement is crucial when aggregates are batched by volume and is used to convert quantities by mass to volume.
Most natural mineral aggregates, like sand and gravel,...
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Bonding and Strength of Aggregate01:12

Bonding and Strength of Aggregate

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The bond between aggregate particles and the cement matrix is significantly influenced by the shape and surface texture of the aggregates. High-strength concretes benefit from a rougher texture, which leads to stronger bonding due to greater adhesion. Angular aggregates with larger surface areas also enhance this bond. The bonding quality, however, is complex to assess as no universally accepted test exists. Good bonding is indicated when a crushed concrete specimen shows some aggregate...
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Aggregate Cement Ratio01:21

Aggregate Cement Ratio

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The Aggregate Cement ratio refers to the weight of aggregate divided by the weight of cement in a concrete mix. Altering this ratio has profound effects on the concrete's properties. This ratio plays a pivotal role in determining the strength, workability, and durability of concrete. When the Aggregate Cement ratio is higher, the mix is leaner, meaning it has less cement paste to lubricate the aggregate, potentially making the concrete less workable. Such mixes, known as lean, enhance the...
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Related Experiment Video

Updated: Apr 1, 2026

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
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Simple Statistical Model for Branched Aggregates: Application to Cooee Bitumen.

Claire A Lemarchand1, Jesper S Hansen1

  • 1DNRF Centre "Glass and Time", IMFUFA, Department of Sciences, Roskilde University , Universitetsvej 1, Postbox 260, DK-4000 Roskilde, Denmark.

The Journal of Physical Chemistry. B
|October 13, 2015
PubMed
Summary
This summary is machine-generated.

We developed a statistical model to predict the size distribution of branched aggregates like asphaltene nanoaggregates. This model uses conditional probabilities and shows good agreement with molecular dynamics simulations.

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Area of Science:

  • Chemical Physics
  • Materials Science
  • Computational Chemistry

Background:

  • Branched aggregates, such as asphaltene nanoaggregates, exhibit complex size distributions.
  • Understanding aggregate formation is crucial in fields ranging from polymer science to petroleum engineering.

Purpose of the Study:

  • To propose a novel statistical model for predicting the size distribution of branched aggregates.
  • To apply and validate this model using asphaltene nanoaggregates from molecular dynamics simulations.

Main Methods:

  • Development of a statistical model based on conditional probabilities of molecular bonding.
  • Application of the model to asphaltene nanoaggregates simulated using molecular dynamics.
  • Analysis of temperature-dependent probabilities using statistical mechanics principles.

Main Results:

  • The statistical model successfully reproduces the size distribution of various branched aggregates.
  • The model's predictions for asphaltene nanoaggregates show satisfactory agreement with simulation data.
  • Temperature variations in bonding probabilities were analyzed and linked to statistical mechanics.

Conclusions:

  • The proposed statistical model offers a robust method for characterizing branched aggregate size distributions.
  • The model provides insights into the molecular interactions governing asphaltene nanoaggregate formation.
  • This approach has broad applicability to diverse branched molecular systems.