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Global sensitivity analysis of groundwater transport
Journal of Hydrology, 2015Summary In this work we address the model and parametric sensitivity of groundwater transport using the Lagrangian-Stochastic Advection–Reaction (LaSAR) methodology. The ‘attenuation index’ is used as a relevant and convenient measure of the coupled transport mechanisms. The coefficients of variation (CV) for seven uncertain parameters are assumed to
Guillaume Vigouroux +2 more
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Global Sensitivity Analysis for Mixture Experiments
Technometrics, 2012A mixture experiment is characterized by having two or more inputs that are specified as a percentage contribution to a total amount of material. In such situations, the input variables are correlated because they must sum to one. Consequently, additional care must be taken when fitting statistical models or visualizing the effect of one or more inputs
Leslie M. Moore +2 more
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Global sensitivity analysis applied to an hydrogenerator
2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016In this communication, a methodology based on a stochastic approach is proposed in order to characterize the effect of imperfections on the dimensions of a rotating electrical machine on on the time evolution of the signal of magnetic flux sensors. The methodology is based on an approximation of sparse polynomial chaos basis and Sobol indices to carry ...
Stephane Clenet +3 more
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Global Sensitivity Analysis for Stochastic Collocation
51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference<BR> 18th AIAA/ASME/AHS Adaptive Structures Conference<BR> 12th, 2010Non-intrusive stochastic expansion methods for uncertainty quantication (UQ) has received a great deal of attention the past decade because of their rigorous mathematical foundations and their ability to e ciently accurately characterize the probablilistic metrics of complex engineering systems.
Gary Tang +2 more
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A hybrid approach for global sensitivity analysis
Reliability Engineering & System Safety, 2017Abstract Distribution based sensitivity analysis (DSA) computes sensitivity of the input random variables with respect to the change in distribution of output response. Although DSA is widely appreciated as the best tool for sensitivity analysis, the computational issue associated with this method prohibits its use for complex structures involving ...
Rajib Chowdhury, Souvik Chakraborty
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Global Sensitivity Analysis for a Bayesian Network
Volume 1A: 36th Computers and Information in Engineering Conference, 2016In a Bayesian network, how a node of interest is affected by the observation of another node is of interest in both forward propagation and backward inference. The proposed global sensitivity analysis (GSA) for Bayesian network aims to calculate the Sobol’ sensitivity index of a node with respect to the node of interest.
Sankaran Mahadevan, Chenzhao Li
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Global Uncertainty and Sensitivity Analysis and Neighbourhoods
2004We shall briefly review recent progress in Global Quantitative Uncertainty and Sensitivity Analysis (UA/SA) techniques, relating these to multidimensional global calibration approaches of the “Monte Carlo filtering” type. Global quantitative techniques for Sensitivity Analysis (SA), that are based on the decomposition of the variance of the target ...
Andrea Saltelli +2 more
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Is Global Sensitivity Analysis Useful to Evolutionary Computation?
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015Global Sensitivity Analysis (GSA) studies how uncertainty in the inputs of a system influences uncertainty in its outputs. GSA is extensively used by experts to gather information about the behavior of models, through computationally-intensive stochastic sampling of parameters' space.
Chabin, Thomas +2 more
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Global sensitivity analysis in dynamic metabolic networks
Computers & Chemical Engineering, 2009Abstract In this work, we have performed global sensitivity analysis on a large-scale dynamic metabolic network through variance-based techniques. Time profiles for sensitivity indices have been calculated for each parameter, based on Sobol’ approach (2001) .
J. C. Díaz Ricci +2 more
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Global sensitivity analysis in bioreactor networks
2011Abstract A global sensitivity analysis applying variance-based techniques is implemented for a bioreactors network used in the production of ethanol from molasses sugar and vinases distillates. Two types of bioreactors are considered, an aerobic for biomass production and an anaerobic for ethanol production.
Patricia M. Hoch, María Paz Ochoa
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