Assessing particle packing based self-consolidating concrete mix design method

Xuhao Wang, Kejin Wang, Peter Taylor, George Morcous

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

A particle-packing based mix design method, originally proposed by Brouwers, is modified and applied to the design of self-consolidating concrete (SCC) mix proportions. The essence of this method is to improve particle packing of the concrete system and reduce the paste quantity while maintaining concrete quality and performance. Using this method, a large matrix of SCC mixes, made of different aggregate types, sizes, and supplementary cementitious material (SCMs) types, was designed to have a particle distribution modulus (q) ranging from 0.23 to 0.29. Fresh properties (such as flowability, passing ability, segregation resistance, yield stress, viscosity, set time and formwork pressure) and hardened properties (such as compressive strength, surface resistance, shrinkage, and air structure) of these concrete mixes were experimentally evaluated. The concrete mixes designed using the modified Brouwers mix design algorithm and particle packing concept had a potential to reduce up to 20% binder content compared to existing SCC mix proportioning methods and still maintain good performance.

Original languageEnglish (US)
Pages (from-to)439-452
Number of pages14
JournalConstruction and Building Materials
Volume70
DOIs
StatePublished - Nov 15 2014

Fingerprint

Concrete mixtures
Surface resistance
Adhesive pastes
Ointments
Compressive strength
Binders
Yield stress
Concretes
Viscosity
Air

Keywords

  • Mix design
  • Particle packing
  • Performance test
  • Rheology
  • Self-consolidating concrete

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Materials Science(all)

Cite this

Assessing particle packing based self-consolidating concrete mix design method. / Wang, Xuhao; Wang, Kejin; Taylor, Peter; Morcous, George.

In: Construction and Building Materials, Vol. 70, 15.11.2014, p. 439-452.

Research output: Contribution to journalArticle

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