25–27.5.2015: CM3 - Computational Multi Physics, Multi Scales and Multi Big Data in Transport Modeling, Simulation and Optimization (Jyväskylä, Finland)
- https://www.jyu.fi/aladdin/en/events/25201327-5-2015-computational-multi-physics-multi-scales-and-multi-big-data-in-transport-modeling-simulation-and-optimization-jyvaskyla-finland
- 25–27.5.2015: CM3 - Computational Multi Physics, Multi Scales and Multi Big Data in Transport Modeling, Simulation and Optimization (Jyväskylä, Finland)
- 2015-05-25T00:00:00+03:00
- 2015-05-27T23:59:59+03:00
- Green Challenges in Automotive, Railways, Aeronautics and Maritime Engineering
- Date May 25, 2015 to May 27, 2015 (Europe/Helsinki / UTC300)
- Location Jyväskylä, Finland
- Web Visit external website
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Multidisciplinary Scientific Computing is now one of the powerful design technologies used in industry. This trend has been enhanced by the ever increasing capabilities of computational technology, storing of information and the decreasing cost of computer hardware. Analysis of Multidisciplinary Big Data is also becoming extremely important in process control, intelligent systems for surveillance and safety procedures.
In the upcoming decade the integration of Advanced Multidisciplinary Simulation (MS), Optimization (MO) and Big Data Analysis (MBDA) tools will have a major impact on systemic procedures in both industrial and societal environments.
Opportunities offered by Multi Physics, Multi Scales and Multi Big Data (CM3) methods span the industrial spectrum, including greener technologies for automotive, aerospace, marine and maritime, energy, train, road logistics, among other sectors. In all these multidisciplinary areas industrial designers are faced with greener challenges targeted in the new ambitious Horizon 2020 program.
To answer these green challenges and their innovative solutions the new ECCOMAS Industrial Interest Group (IIG) is launching the first of an ECCOMAS Thematic Conference series focused on Challenging Transportation named CM3 – Computational Multi Physics, Multi Scales and Multi Big Data in Transport Modeling, Simulation and Optimization with applications in Automotive, Railways, Aeronautics and Maritime Engineering.