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  • Formations
    Simulations in CFD the scientific society ERCOFTAC European Research Community On Flow Turbulence And Combustion organizes since 2011 a two days awareness course on Uncertainty Management and Quantification in Industrial Analysis and Design This course is specifically intended to CFD communities and it is a good vector to spread the common vision of uncertainty analysis and at the same time getting back new valuable requirements inputs and viewpoints Such courses were held in Germany and USA Virginia Professional training about uncertainty analysis at EDF Through its Institute of Technology Transfer ITech the R D Unit of EDF organizes several training courses which covers the wide range of the company s business areas such as risk management and operating safety scientific computing nuclear energy hydraulics ecology energy markets statistics and data analysis The current ITech training program is made up of 23 courses most take place in EDF R D facilities once or twice a year The courses led by EDF R D engineers and technicians are rooted into the reality of EDF s business and mainly intended to EDF s researchers and engineers However a great number of them are open to participants which are external to the company In

    Original URL path: http://www.opus-project.fr/index.php/aroundopus/formations?el_mcal_month=12&el_mcal_year=2015 (2016-01-11)
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  • Formations
    Deterministic Simulations in CFD the scientific society ERCOFTAC European Research Community On Flow Turbulence And Combustion organizes since 2011 a two days awareness course on Uncertainty Management and Quantification in Industrial Analysis and Design This course is specifically intended to CFD communities and it is a good vector to spread the common vision of uncertainty analysis and at the same time getting back new valuable requirements inputs and viewpoints Such courses were held in Germany and USA Virginia Professional training about uncertainty analysis at EDF Through its Institute of Technology Transfer ITech the R D Unit of EDF organizes several training courses which covers the wide range of the company s business areas such as risk management and operating safety scientific computing nuclear energy hydraulics ecology energy markets statistics and data analysis The current ITech training program is made up of 23 courses most take place in EDF R D facilities once or twice a year The courses led by EDF R D engineers and technicians are rooted into the reality of EDF s business and mainly intended to EDF s researchers and engineers However a great number of them are open to participants which are external to the company

    Original URL path: http://www.opus-project.fr/index.php/aroundopus/formations?el_mcal_month=2&el_mcal_year=2016 (2016-01-11)
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  • Test Cases
    a nutshell the process should be along the lines of Clearly define the problem that will be solved as it was in real life prior to resolution context quantity of interest available data expected difficulties and possible solutions expected results and corresponding interpretation Gather the real life data used in a format usable by Opus ideally CSV Explain the method used to solve the real life problem from raw data

    Original URL path: http://www.opus-project.fr/index.php/contributionmain/76-testcases?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • OPUS
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    Original URL path: http://www.opus-project.fr/index.php/component/mailto/?tmpl=component&link=aHR0cDovL3d3dy5vcHVzLXByb2plY3QuZnIvaW5kZXgucGhwL2NvbnRyaWJ1dGlvbm1haW4vNzYtdGVzdGNhc2Vz (2016-01-11)
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  • How to contribute
    see the Contribution Guide This article also makes the assumption that the contribution is ready from a mathematical point of view that is the mathematical method and algorithms are well described ideally validated on a laboratory test case or at least on a sandbox example Contribution Checklist Identify existing features and necessary developments Choose contribution level Choose language type Write the specifications functional and technical specifications Develop the contribution classes

    Original URL path: http://www.opus-project.fr/index.php/contributionmain/75-howtocontribute?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • OPUS
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    Original URL path: http://www.opus-project.fr/index.php/component/mailto/?tmpl=component&link=aHR0cDovL3d3dy5vcHVzLXByb2plY3QuZnIvaW5kZXgucGhwL2NvbnRyaWJ1dGlvbm1haW4vaG93dG9jb250cmlidXRl (2016-01-11)
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  • Available contributions
    work of EADS EDF and Phiméca The contribution of EADS to these developments has been mainly funded by OPUS while the contribution of EDF and Phiméca has been funded by own resources and by the ANR project MIRADOR Modélisation interactive des risques associés au développement d ouvrages robustes ref ANR 06 RGCU 008 NISP toolbox for Scilab The goal of this toolbox is to provide a tool to manage uncertainties in simulated models for the Scilab platform This Scilab toolbox is based on the NISP C library where NISP stands for Non Intrusive Spectral Projection The NISP library is based on a set of 3 C classes so that it provides an object oriented framework for uncertainty analysis The Scilab toolbox provides a pseudo object oriented interface to this library so that the two approaches are consistent See wiki for details Opus Contrib Octave Matlab toolbox for kriging a toolbox for carrying out kriging regression in Matlab also compatible with Octave with some limitations See website on sourceforge for more details Various R scripts for inverse probabilistic modeling were created dealing with MCMC estimation usecase scripts The idea here was to develop the scripts applied to a usecase while reusing existing tools based on the R language when relevant Two R packages available on the CRAN site have been identified and both packages may be used conjointly with the R package CODA which allows output analysis and diagnostics for Markov Chain Monte Carlo simulations These packages are MCMC package and MCMCpack package MLE estimation scripts ECME Expectation Conditional Maximization Either by iterated linearizations to deal with non linear cases based on G Celeux et al Identifying intrinsic variability in multivariate systems through linearised inverse methods Rapport de recherche INRIA RR 6400 2007 S A EM Stochastic Approximation version of Expectation

    Original URL path: http://www.opus-project.fr/index.php/contributionmain/74-availablecontributions?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • OPUS
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    Original URL path: http://www.opus-project.fr/index.php/component/mailto/?tmpl=component&link=aHR0cDovL3d3dy5vcHVzLXByb2plY3QuZnIvaW5kZXgucGhwL2NvbnRyaWJ1dGlvbm1haW4vYXZhaWxhYmxlY29udHJpYnV0aW9ucw%3D%3D (2016-01-11)
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