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Coarse aggregate effectiveness in concrete: Quantitative models study on paste thickness, mortar thickness and compressive strength
- Source :
- Construction and Building Materials. 289:123171
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- The paste thickness is an essential parameter related to mix proportion and properties of concrete. The quantitative models of paste thickness could be classified as volume-based paste thickness (VPT) and surface area-based paste thickness (SPT), while the widely-used SPT doesn’t consider the dilatation effect of aggregate. The aim of this paper is to modify the SPT model by comparing the derivation of different quantitative models, then the mortar thickness is calculated and its relationship with compressive strength of concrete is investigated. Taking the dilatation effect ( λ ) into account, a modified SPT model is derived, which also could be more accurate than VPT as a parameter in mix design of concrete. Regarded the concrete as two-phase composites of mortar and coarse aggregate, the compressive strengths of mortar and concrete conform to the hyperbolic model proposed by de Larrard, and the interlocking-effect of coarse aggregate is quantitatively characterized. Besides, the compressive strength of concrete is linear to −0.13 power of mortar thickness, which provides a foundation for the prediction of compressive strength and the mixture design of concrete.
- Subjects :
- Aggregate (composite)
Materials science
0211 other engineering and technologies
Foundation (engineering)
020101 civil engineering
02 engineering and technology
Building and Construction
Mix design
0201 civil engineering
Compressive strength
Properties of concrete
Volume (thermodynamics)
021105 building & construction
General Materials Science
Mix proportion
Mortar
Composite material
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 09500618
- Volume :
- 289
- Database :
- OpenAIRE
- Journal :
- Construction and Building Materials
- Accession number :
- edsair.doi...........69f07a1083cfcdd9e4cc6f8222d2a173
- Full Text :
- https://doi.org/10.1016/j.conbuildmat.2021.123171