Article (Scientific journals)
Optimization of particle packing by analytical and computer simulation approaches
He, Huan; Stroeven, Piet; Stroeven, Martijn et al.
2012In Computers and Concrete, 9 (2), p. 119-131
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Keywords :
particle packing; analytical approach; optimum mixture; RSA; DEM
Abstract :
[en] Optimum packing of aggregate is an important aspect of mixture design, since porosity may be reduced and strength improved. It may also cause a reduction in paste content and is thus of economic relevance too. Several mathematic packing models have been developed in the literature for optimization of mixture design. However in this study, numerical simulation will be used as the main tool for this purpose. A basic, simple theoretical model is used for approximate assessment of mixture optimization. Calculation and simulation will start from a bimodal mixture that is based on the mono-sized packing experiences. Tri-modal and multi-sized particle packing will then be discussed to find the optimum mixture. This study will demonstrate that computer simulation is a good alternative for mixture design and optimization when appropriate particle shapes are selected. Although primarily focusing on aggregate, optimization of blends of Portland cement and mineral admixtures could basically be approached in a similar way.
Disciplines :
Civil engineering
Author, co-author :
He, Huan ;  Université de Liège - ULiège > Département Argenco : Secteur GeMMe > Matériaux de construction non métalliques du génie civil
Stroeven, Piet;  Delft University of Technology - NL
Stroeven, Martijn;  Delft University of Technology - NL
Sluys, Lambertus Johannes
Language :
English
Title :
Optimization of particle packing by analytical and computer simulation approaches
Publication date :
February 2012
Journal title :
Computers and Concrete
ISSN :
1598-8198
eISSN :
1598-818X
Publisher :
Techno Press, DAEJEON, South Korea
Volume :
9
Issue :
2
Pages :
119-131
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
Paper in Press-Restricted access
Available on ORBi :
since 14 April 2011

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