The need for strategic research for the purpose of modelling concrete making, early age structural analysis and durability and combining these models into a comprehensive system for tailoring concrete for specific performance requirements has been identified. The aim of the project is to fill specific gaps in the current state-of-the-art knowledge.
This project succeeded in improving concrete mixing technologies, creating software to help determine the best concrete mixture for a specified project, and testing prediction models for concrete deterioration mechanisms.
The tasks will be :
1. efficiency of concrete mixing as dependent upon raw materials, dispersion of cement, mixing sequence and bathing and mixing equipment, including innovative machinery;
2. establishment of mathematical models for analysis of stress configuration during early ages of concrete structures combining thermal stresses due to heat of hydration and early age imposed loads;
3. establishment of models for minimising and/or eliminating the two principal deteriorating mechanisms, alkali silica reactions and chloride-induced corrosion for improving durability and prediction of lifetime of structure concrete.
Parallel to these tasks, research will be conducted into how a framework combining existing knowledge and experience and new knowledge generated through 1-3 will be combined into expert system(s) for improved decision making for the purpose of modelling and hence tailoring concrete for specific performance criteria.
Fields of science
Topic(s)Data not available
Call for proposalData not available
Funding SchemeData not available
78061 Saint Quentin-en-yvelines
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