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Numerical Designing of Fiber Reinforced Concrete Eco-Constructions
1MAST-EMGCU, University Gustave Eiffel, IFSTTAR, F-77447 Marne-la-Vallée, France.
Numerical tools, like the finite element method, are ideal for predicting fiber reinforced concrete (FRC) eco-construction durability. Optimizing FRC track slabs by reducing thickness is key to lowering their carbon footprint.
Area of Science:
- Civil Engineering
- Materials Science
- Computational Mechanics
Background:
- Fiber reinforced concrete (FRC) is crucial for sustainable construction.
- Predicting the cracking and durability of FRC structures is essential for their service life.
- Existing Eurocodes may not sufficiently address the complexities of FRC cracking at service limit states.
Purpose of the Study:
- To evaluate numerical tools, specifically finite element methods (FEM), for designing FRC eco-constructions.
- To critically analyze existing FEM for FRC cracking and detail a probabilistic model.
- To demonstrate the application of a probabilistic FEM for optimizing FRC structures and reducing environmental impact.
Main Methods:
- Critical review of finite element models for FRC cracking.
- Detailed description of a probabilistic finite element model for FRC.
- Application of the probabilistic model to optimize an FRC track slab design.
Main Results:
- The probabilistic FEM provides precise predictions for crack openings up to 300 microns.
- Numerical tools, particularly FEM, are superior to codes like Eurocodes for predicting FRC cracking and durability.
- Optimization of an FRC track slab using the probabilistic model led to a reduced carbon footprint.
Conclusions:
- Finite element methods are highly effective for predicting FRC cracking and ensuring durability.
- A probabilistic FEM is a valuable tool for precise crack analysis in FRC structures.
- Reducing the thickness of FRC constructions is an effective strategy for minimizing their carbon footprint.
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