- Fabrice Gatuingt, Université Paris-Saclay, ENS Paris-Saclay, CNRS, LMT - Laboratoire de Mécanique et Technologie
- Guillaume Hervé-Secourgeon, Institute of Mechanical Sciences and Industrial Applications, EDF-CNRS-CEA-ENSTA
- Tulio Honorio de Faria, Université Paris-Saclay, ENS Paris-Saclay, CNRS, LMT - Laboratoire de Mécanique et Technologie
The demand for a reduction in the carbon footprint must be reflected in Civil Engineering works. Indeed, 5% of global CO2 emissions come from construction (percentage is in increase) and 85% of this 5% are related to raw materials (concrete and steel). The optimization of new structures has a consequence on global warming. Extreme weather events and emerging threats mean that constraints are always increasing and that yesterday's robust and simplified methods will come up against the need to do the best under ever-worse aggression. This particularly concerns sensitive power generation structures (nuclear power plants, dams, etc.). It is urgent to introduce into civil engineering and in particular the design the latest advances coming from computational mechanics. The problems of tomorrow are treated with the same methods that treated yesterday poorly the problems of the day before yesterday. The approaches of computational mechanics must make it possible to carry out large problems on the one hand for the size of the models (taking into account a larger and larger size: from the site to the in-structure equipment), on the other hand by the mutiplicity of load cases and the need to predict at the very first design the absence of cliff-edge effects by margin prediction (ie probabilistic approach encompassing variability and uncertainties). Therefore, it has becoming a true and key concern to try to optimize civil structures design. As a matter of computational mechanics aspects this means to address multi-material, multicriteria, multiphysics problems involving large scale FE model under variable and more and more severe environmental constraints. All in all CE design shall encompass all this topics in an integrated approach:
- Distributed computing,
- Model reduction,
- Earthquake engineering,
- Climatic threats (tsunamis, tornadoes, ...),
- High Performance Computation,
- Randomness and uncertainty,
- Structural optimization of composite structures,
- Robust and predictive non linear analysis.
 E. Oñate and M. Cervera, "Derivation of thin plate bending elements with one degree of freedom per node", Engng. Comput., Vol. 10, pp. 543561, (1993).
 O.C. Zienkiewicz and R.C. Taylor, The Finite Element Method, 4th Edition, Vol. 1, Mcgraw Hill, 1989.