Sensitivity Analysis Techniques for the Performance Assessment of a Radioactive Waste Repository

Sensitivity Analysis (SA) is a key element in the Performance Assessment (PA) of a Radioactive High Level Waste (HLW) Repository. It helps gaining information about the system, understanding the relation between input parameters and output variables and steering new experimental and theoretical research to increase the degree of knowledge about the system. The Integrated Project (IP) PAMINA is devoting a large effort to the research in this area and the dissemination of results among its partners. Among the activities under development are a review of SA methods, a benchmark of SA techniques and the application of different SA techniques to a PA results coming from several national programs. After the end of this activity, PAMINA partners will get a better understanding of the rationale behind every available technique and about their capabilities and shortcomings.

[1]  Derek J. Pike,et al.  Empirical Model‐building and Response Surfaces. , 1988 .

[2]  Ilya M. Sobol,et al.  Sensitivity Estimates for Nonlinear Mathematical Models , 1993 .

[3]  C. Fortuin,et al.  Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory , 1973 .

[4]  A. Saltelli,et al.  A quantitative model-independent method for global sensitivity analysis of model output , 1999 .

[5]  Stefano Tarantola,et al.  Contribution to the sample mean plot for graphical and numerical sensitivity analysis , 2009, Reliab. Eng. Syst. Saf..

[6]  K. Shuler,et al.  Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. II Applications , 1973 .

[7]  A. Saltelli,et al.  Making best use of model evaluations to compute sensitivity indices , 2002 .

[8]  M. F. Fuller,et al.  Practical Nonparametric Statistics; Nonparametric Statistical Inference , 1973 .

[9]  Max D. Morris,et al.  Factorial sampling plans for preliminary computational experiments , 1991 .

[10]  K. Shuler,et al.  Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. III. Analysis of the approximations , 1975 .

[11]  Stefano Tarantola,et al.  Random balance designs for the estimation of first order global sensitivity indices , 2006, Reliab. Eng. Syst. Saf..

[12]  Jon C. Helton,et al.  Survey of sampling-based methods for uncertainty and sensitivity analysis , 2006, Reliab. Eng. Syst. Saf..