GReener Aeronautics International Networking (GRAIN)
GReener Aeronautics International Networking
(GRAIN)
Start date: Oct 1, 2010,
End date: Dec 31, 2012
PROJECT
FINISHED
"Aerochina1&2 have been networking projects co-funded by FP7 and AVIC (China) and coordinated by CIMNE. Many of the GRAIN partners have participated in them. These collaborative projects gathered experts on the two Europe (13) and China (17) sides to foster cooperation and debate future trends in the field of integrated multi physics modeling, computer simulations and code validation, experimental testing and design methods for the solution of multi physics problems of interest to the aeronautic sector. The outcomes of these two projects provided specific and mature RTD activities and teams for FP7 EU-China Coordinated calls.The main objectives of GRAIN are to identify and assess the future development of large scale simulation methods and tools needed for greener technologies reaching the Vision 2020 environmental goals. GRAIN will prepare the R&T development and exploitation with new large scale simulation tools used on distributed parallel environments to deeper understand and minimize the effects of aircraft/engine design on climate and noise impact.High-performance and innovative methodologies and algorithms must also be designed to take full benefit of high-performance computer infra structures existing or quite soon available in Europe and China.The participating institutions will focus on future collaborative applied research concerning modeling, experiments, simulation, control and optimization for greener aircraft and engines technologies including: emissions, drag and noise reduction and green materials with an emphasis on multidiscipline approaches for environmentally friendly aircraft. These collaborations will be dedicated to 3-D and these configurations will imply the use of high – performance computing facilities that are now available and upcoming in both Europe and China. New developments will be investigated concerning innovative methodologies on robustness and uncertainty for greener aircraft applications."
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