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.
78061 Saint Quentin-en-yvelines