The screening approach is based on the analysis of variance and principal component analysis of output curves. The functional metamodeling consists in a curve classification step a dimension reduction step then a classical metamodeling step. Screening and metamodeling of computer experiments with functional outputs. Application to thermal
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The screening approach is based on the analysis of variance and principal component analysis of output curves. The functional metamodeling consists in a curve classification step a dimension reduction step then a classical metamodeling step. Screening and metamodeling of computer experiments with functional outputs. Application to thermal
2010-11-24Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations Benjamin AUDER Agne s DE CRECY y Bertrand IOOSS and Michel MARQU ES Submitted to Reliability Engineering and System Safety for the special SAMO 2010 issue CEA DEN Centre de Cadarache F-13108 Saint-Paul-le-Du rance
Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations
2017-2-3Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations Benjamin AUDER Agnes DE CRECY Bertrand IOOSS and Michel MARQUES Reliability Engineering and System Safety in the special SAMO 2010 issue CEA DEN Centre de Cadarache F-13108 Saint-Paul-le-Durance France
2013-5-28Title Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations Application to thermal-hydraulic computations Authors Benjamin Auder CEA-DEN Agnes De Crecy CEA-DEN Bertrand Iooss Methodes dAnalyse Stochastique des Codes et Traitements Numeriques Michel Marques CEA-DEN
To perform uncertainty sensitivity or optimiation analysis on scalar variables calculated by a cpu time expensive computer code a widely accepted methodology consists in first identifying the most influential uncertain inputs by screening
Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations sensitivity or optimiation analysis on scalar variables calculated by a cpu time expensive computer code a widely accepted methodology consists in first identifying the most influential uncertain inputs by screening
Factor screening is the process of using design of experiments sampling and statistical analyses to examine a large number of factors to identify those key ones that have a significant influence
Available online at www.sciencedirect.com Sixth International Conference on Sensitivity Analysis of Model Output Computer experiments with functional outputs Global sensitivity analysis and metamodeling Benjamin Auder a Bertrand Iooss b Michel Marqus a a CEA DEN Cadarache 13108 Saint-Paul-le-Durance France b EDF RD 6 quai Watier 78402 Chatou France Abstract To
Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations . By Benjamin Auder Agnes De Crecy Bertrand Iooss and Michel Marques. Get PDF 883 KB Abstract. To perform uncertainty sensitivity or optimiation analysis on scalar variables calculated by a cpu time expensive computer
2015-10-22Statistical Metamodeling and Computer Experiments of Large-scale Cardiac Models Dongping Du Hui Yang University of South Florida Tampa FL 33620 USA Abstract In-vitro experiments encountered many limitations in investigating the detailed mechanisms of pathological variations among cardiac ion channels and cells
Screening predicting and computer experiments. The Handling Materials of Screening predicting and computer experimentspebble calcite granite quart concrete dolomite bluestone iron ore limestone iron ore coal gangue construction waste ferrosilicon basalt sandstone rocks ore glass cement clinker and some metal. Now you can
Of computer experiments d2N. Indeed following the impulse given by the seminal paper ofSacks Welch Mitchell and Wynn1989 many works dedicated to Kriging as a surrogate to computer experiments have been published includingWelch Buck Sacks Wynn Mitchell and Morris1992 about screeningKoehler and Owen1996 with an emphasis on experi
Bayesian Metamodeling for Computer Experiments Using the Gaussian Kriging Models Deng Haisong Shao Wene Ma Yihong Wei Zhuihui 2012-06-01 000000 In the past two decades more and more quality and reliability activities have been moving into the design of product and process. The design and analysis of computer experiments as a new
2017-9-29MODELING OF COMPUTER EXPERIMENTS WITH LARGE NUMBER OF INPUTS Bertrand Iooss 12 and Amandine Marrel 3 1 EDF RD 6 Quai Watier 78401 Chatou France e-mail bertrand.ioossedf.fr 2 Institut de Math ematiques de Toulouse 31062 Toulouse France 3 CEA DEN DER 13108 Saint-Paul-le-Durance France e-mail amandine.marrelcea.fr
2020-4-20analysis of computer experiments by kriging-based metamodeling and optimiation Olivier Roustant David Ginsbourger Yves Deville To cite this version Olivier Roustant David Ginsbourger Yves Deville. DiceKriging DiceOptim Two R packages for the analysis of computer experiments by kriging-based metamodeling and optimiation. 2012. hal
2020-2-8Barranquilla course 2014 Modeling computer experiments - B. Iooss 6 Metamodeling steps Design of experiments Points to perform simulations Simulation Performing simulations Metamodeling Approximation of the computer code Computer code X1 X2 Different type of metamodels Simpson et al. 2001 Storlie Helton 2008
2011-9-152001. Comparative studies of metamodeling techniques under multiple modeling criteria. JourAbstract 1 Despite the advances in computer capacity the enormous computational cost of complex engineering simulations makes it impractical to rely
2014-2-22Metamodeling techniques have been developed from many different disciplines including statistics mathematics computer science and various engineering disciplines. These metamodels are initially developed as surrogates of the expensive simulation process in order to improve the overall computation efciency
2015-10-17Statistical Metamodeling and Computer Experiments of Large-Scale Cardiac Models University of South Florida Dongping Du Hui Yang Industrial and Management Systems Engineering Andrew R. Ednie Eric S. Bennett Molecular Pharmacology and Physiology