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Particle packing of aggregates for concrete mix design: Models and methods
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.ORCID iD: 0000-0003-2567-5891
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Construction Engineering.
2014 (English)In: Nordic Concrete Research, ISSN 0800-6377, Vol. 50, p. 109-112Article in journal (Refereed) Published
Abstract [en]

An optimized aggregate particle packing density used as a base for concrete mix design provides economic, environmental and technical advantages. The particle packing density can be determined by many methods and predicted by different models. This paper reviews common packing and procedures and compares predictions of three common packing models to each other. It was found that the models tend to show different packing densities and percentage of ingredients for the same mixture. A test setup is proposed to determine the accuracy of each model’s prediction.

Place, publisher, year, edition, pages
2014. Vol. 50, p. 109-112
Keyword [en]
Mix Design, Loose Packing, Civil engineering and architecture - Building engineering
Keyword [sv]
Samhällsbyggnadsteknik och arkitektur - Byggnadsteknik
National Category
Infrastructure Engineering
Research subject
Structural Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-31352Local ID: 58225252-55d4-4072-9bc0-21228d60c9bbOAI: oai:DiVA.org:ltu-31352DiVA, id: diva2:1004586
Conference
Nordic Concrete Research Symposia : 13/08/2014 - 15/08/2014
Note
Godkänd; 2014; 20140829 (yahgha); Konferensartikel i tidskriftAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-04-03Bibliographically approved
In thesis
1. Aggregates in Concrete Mix Design
Open this publication in new window or tab >>Aggregates in Concrete Mix Design
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The importance of studying the behaviour and properties of concrete can be highlighted by considering the fact that concrete is the most used man-made material in the world. The very first step in making concrete is its mix design and deciding the type and amount of constitutes used in the production of concrete which should fulfil the requirements of the final product. Mix design models are commonly used for the purpose of proportioning concrete ingredients while anticipating the properties of the final product. 

The current document deals with the commonly used principals in mix design models namely particle packing theory and excess water/paste layer theories. The conducted studies includes an investigation on accuracy of particle packing models (Toufar, 4C, CPM) and also tries to address the issue with measurement of specific surface area of particles as an essential input to water/paste layer theories. 

It has been observed that the particle packing models can predict the packing density with acceptable margin. However, it should be mentioned that the particle packing models by themselves are not mix design models but should be rather used as a part of a mix design. In addition, it was found that the accuracy of calculating the specific surface area of particles based on their size distribution curve can be further improved by assuming angular platonic solids as uniform shape of aggregate instead of traditional approach of assuming spheres for aggregates’ shape. 

Place, publisher, year, edition, pages
LTU: Luleå University of Technology, 2017. p. 60
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Keyword
Mix design, water layer theory, particle packing, aggregates, specific surface area
National Category
Building Technologies
Research subject
Construction Engineering and Management
Identifiers
urn:nbn:se:ltu:diva-61659 (URN)978-91-7583-800-7 (ISBN)978-91-7583-801-4 (ISBN)
Presentation
2017-03-28, F1031, Lulea, 13:00 (English)
Opponent
Supervisors
Available from: 2017-01-30 Created: 2017-01-26 Last updated: 2018-04-03Bibliographically approved

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