Agent-based modelling for cement hydration

Vázquez Gallo, María Jesús and Cerro Prada, María Elena and Alonso Trigueros, Jesús María and Romera Zarza, Andrés Luis (2012). Agent-based modelling for cement hydration. "Technische Mechanik", v. 32 (n. 2-5); pp. 587-594. ISSN 0232-3869.

Description

Title: Agent-based modelling for cement hydration
Author/s:
  • Vázquez Gallo, María Jesús
  • Cerro Prada, María Elena
  • Alonso Trigueros, Jesús María
  • Romera Zarza, Andrés Luis
Item Type: Article
Título de Revista/Publicación: Technische Mechanik
Date: 2012
ISSN: 0232-3869
Volume: 32
Subjects:
Faculty: E.U.I.T. Obras Públicas (UPM)
Department: Ingeniería Civil: Servicios Urbanos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The Agent-Based Modelling and simulation (ABM) is a rather new approach for studying complex systems withinteracting autonomous agents that has lately undergone great growth in various fields such as biology, physics, social science, economics and business. Efforts to model and simulate the highly complex cement hydration process have been made over the past 40 years, with the aim of predicting the performance of concrete and designing innovative and enhanced cementitious materials. The ABM presented here - based on previous work - focuses on the early stages of cement hydration by modelling the physical-chemical processes at the particle level. The model considers the cement hydration process as a time and 3D space system, involving multiple diffusing and reacting species of spherical particles. Chemical reactions are simulated by adaptively selecting discrete stochastic simulation for the appropriate reaction, whenever that is necessary. Interactions between particles are also considered. The model has been inspired by reported cellular automata?s approach which provides detailed predictions of cement microstructure at the expense of significant computational difficulty. The ABM approach herein seeks to bring about an optimal balance between accuracy and computational efficiency.

More information

Item ID: 15653
DC Identifier: https://oa.upm.es/15653/
OAI Identifier: oai:oa.upm.es:15653
Official URL: http://www.ovgu.de/ifme/zeitschrift_tm/02_HTML_Inh...
Deposited by: Memoria Investigacion
Deposited on: 02 Nov 2013 13:08
Last Modified: 21 Apr 2016 15:54
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