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Simulation of macroscopic behavior of a self-compacting mixture based on DEM

Hoornahad, H. and Koenders, E. A. B. (2013):
Simulation of macroscopic behavior of a self-compacting mixture based on DEM.
Iowa State University, In: SCC 5th North American Conference on the Design and Use of Self-Consolidating Concrete, Chicago, USA, May 12-15, 2013, [Online-Edition: http://resolver.tudelft.nl/uuid:cf5222ef-6711-4160-8ff1-c351...],
[Conference or Workshop Item]

Abstract

Since the early 20th century, the necessity of modeling and monitoring fresh concrete behavior has been recognized by the industry with the objective to ensure adequate mechanical properties and a proper durability of concrete structures. Due to the rapid development of computer technology, the applications of computational simulation tools in the field of concrete technology has significantly increased and help us to understand the mechanisms of rheological systems. The development of proper rheological models and suitable numerical methods are considered as basic needs for a thorough understanding of the flow properties. The main challenge is finding a quantitative correlation between the model parameters and the properties and proportions of the mix ingredients. This paper presents a numerical approach for macroscopic behavior of a fresh self-compacting mixture using Discrete Element Method (DEM). The employed research is based on a conceptual idea where the grain-paste interaction is explicitly modelled as an interactive two-phase system. Each mixture is considered to be an assembly of “grain-paste” systems, which can be characterized according to the mix composition based on the “excess paste theory”. The macroscopic behavior is evaluated based on the slump flow test results. Simulations and experimental laboratory test results show good agreement.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Hoornahad, H. and Koenders, E. A. B.
Title: Simulation of macroscopic behavior of a self-compacting mixture based on DEM
Language: English
Abstract:

Since the early 20th century, the necessity of modeling and monitoring fresh concrete behavior has been recognized by the industry with the objective to ensure adequate mechanical properties and a proper durability of concrete structures. Due to the rapid development of computer technology, the applications of computational simulation tools in the field of concrete technology has significantly increased and help us to understand the mechanisms of rheological systems. The development of proper rheological models and suitable numerical methods are considered as basic needs for a thorough understanding of the flow properties. The main challenge is finding a quantitative correlation between the model parameters and the properties and proportions of the mix ingredients. This paper presents a numerical approach for macroscopic behavior of a fresh self-compacting mixture using Discrete Element Method (DEM). The employed research is based on a conceptual idea where the grain-paste interaction is explicitly modelled as an interactive two-phase system. Each mixture is considered to be an assembly of “grain-paste” systems, which can be characterized according to the mix composition based on the “excess paste theory”. The macroscopic behavior is evaluated based on the slump flow test results. Simulations and experimental laboratory test results show good agreement.

Publisher: Iowa State University
Uncontrolled Keywords: discrete element method (DEM), excess paste theory, flow analysis, fresh self-compacting mixture, slump flow test, two-phase element, two-phase model
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institute of Construction and Building Materials
Event Title: SCC 5th North American Conference on the Design and Use of Self-Consolidating Concrete
Event Location: Chicago, USA
Event Dates: May 12-15, 2013
Date Deposited: 04 Jun 2015 08:43
Official URL: http://resolver.tudelft.nl/uuid:cf5222ef-6711-4160-8ff1-c351...
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