Quantification of Margins and Uncertainties

[1]  I. Sobol.  On the distribution of points in a cube and the approximate evaluation of integrals , 1967 .

[2]  Ronald L. Iman,et al.  Risk methodology for geologic disposal of radioactive waste: small sample sensitivity analysis techniques for computer models, with an application to risk assessment , 1980 .

[3]  S. Kaplan,et al.  On The Quantitative Definition of Risk , 1981 .

[4]  G. W. Parry,et al.  Characterization and evaluation of uncertainty in probabilistic risk analysis , 1981 .

[5]  R. Iman,et al.  A distribution-free approach to inducing rank correlation among input variables , 1982 .

[6]  Paul Bratley,et al.  Algorithm 659: Implementing Sobol's quasirandom sequence generator , 1988, TOMS.

[7]  J. C. Helton,et al.  An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models , 1988 .

[8]  D. Dubois,et al.  Fuzzy sets, probability and measurement , 1989 .

[9]  Ronald L. Iman,et al.  Expert opinion in risk analysis: the NUREG-1150 methodology , 1989 .

[10]  G. Apostolakis,et al.  Uncertainties in system analysis: Probabilistic versus nonprobabilistic theories , 1990 .

[11]  B. E. Boyack,et al.  Quantifying reactor safety margins part 4: Uncertainty evaluation of lbloca analysis based on trac-pf1/mod 1 , 1990 .

[12]  I. Catton,et al.  Quantifying reactor safety margins part 1: An overview of the code scaling, applicability, and uncertainty evaluation methodology , 1990 .

[13]  B. E. Boyack,et al.  Quantifying reactor safety margins part 2: Characterization of important contributors to uncertainty , 1990 .

[14]  B. E. Boyack,et al.  Quantifying reactor safety margins Part 5: Evaluation of scale-up capabilities of best estimate codes☆ , 1990 .

[15]  G. Apostolakis.  The concept of probability in safety assessments of technological systems. , 1990, Science.

[16]  B. E. Boyack,et al.  Quantifying reactor safety margins part 3: Assessment and ranging of parameters , 1990 .

[17]  B. E. Boyack,et al.  Quantifying reactor safety margins Part 6: A physically based method of estimating pwr large break loss of coolant accident pct , 1990 .

[18]  Jon C. Helton,et al.  Summary description of the methods used in the probabilistic risk assessments for NUREG-1150 , 1992 .

[19]  A. C. Payne,et al.  Analysis of the LaSalle Unit 2 Nuclear Power Plant: Risk Methods Integration and Evaluation Program (RMIEP). Volume 3, Part 2, Internal events accident sequence quantification: Appendices , 1992 .

[20]  G. E. Apostolakis,et al.  Experience with probabilistic risk assessment in the nuclear power industry , 1992 .

[21]  M. Thorne,et al.  A review of expert judgment techniques with reference to nuclear safety , 1992 .

[22]  T. G. Theofanous.  Preface to the discussion on quantifying reactor safety margins (pp. 405–447) , 1992 .

[23]  Jon C. Helton,et al.  Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal , 1993 .

[24]  Jon C. Helton,et al.  Calculation of reactor accident safety goals , 1993 .

[25]  N. Siu,et al.  Proceedings of workshop I in advanced topics in risk and reliability analysis. Model uncertainty: Its characterization and quantification , 1994 .

[26]  Necip Doganaksoy,et al.  Handbook of Reliability Engineering , 1994 .

[27]  Jon C. Helton,et al.  Treatment of Uncertainty in Performance Assessments for Complex Systems , 1994 .

[28]  D. Hamby.  A review of techniques for parameter sensitivity analysis of environmental models , 1994, Environmental monitoring and assessment.

[29]  David Draper,et al.  Assessment and Propagation of Model Uncertainty , 2011 .

[30]  M. Elisabeth Paté-Cornell,et al.  Uncertainties in risk analysis: Six levels of treatment , 1996 .

[31]  Gareth W. Parry,et al.  The characterization of uncertainty in probabilistic risk assessments of complex systems , 1996 .

[32]  J. C. Helton,et al.  Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty , 1997 .

[33]  Patrick J. Roache,et al.  Verification and Validation in Computational Science and Engineering , 1998 .

[34]  Philippe Smets,et al.  Probability, Possibility, Belief: Which and Where? , 1998 .

[35]  C. Allin Cornell,et al.  Use of Technical Expert Panels: Applications to Probabilistic Seismic Hazard Analysis * , 1998 .

[36]  R P Rechard,et al.  Historical Relationship Between Performance Assessment for Radioactive Waste Disposal and Other Types of Risk Assessment , 1999, Risk analysis : an official publication of the Society for Risk Analysis.

[37]  M. D. McKay,et al.  A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .

[38]  Hung T. Nguyen,et al.  Possibility Theory, Probability and Fuzzy Sets Misunderstandings, Bridges and Gaps , 2000 .

[39]  M. Mckay,et al.  Critique of and Limitations on the Use of Expert Judgements in Accident Consequence Uncertainty Analysis , 2000 .

[40]  Jon C. Helton,et al.  Chapter 12 Mathematical and numerical approaches in performance assessment for radioactive waste disposal: dealing with uncertainty , 2000 .

[41]  M.J.W. Jansen,et al.  Review of Saltelli, A. & Chan, K. & E.M.Scott (Eds) (2000), Sensitivity analysis. Wiley (2000) , 2001 .

[42]  Timothy G. Trucano,et al.  Verification and Validation in Computational Fluid Dynamics , 2002 .

[43]  H Christopher Frey,et al.  OF SENSITIVITY ANALYSIS , 2001 .

[44]  Jane M. Booker,et al.  Fuzzy Logic and Probability Applications , 2002, Fuzzy Logic and Probability Applications.

[45]  F. J. Davis,et al.  Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems , 2002, Reliab. Eng. Syst. Saf..

[46]  T. Trucano,et al.  Verification, Validation, and Predictive Capability in Computational Engineering and Physics , 2004 .

[47]  D. Cacuci,et al.  A Comparative Review of Sensitivity and Uncertainty Analysis of Large-Scale Systems—II: Statistical Methods , 2004 .

[48]  A. O'Hagan,et al.  Probabilistic sensitivity analysis of complex models: a Bayesian approach , 2004 .

[49]  J. Tinsley Oden,et al.  Verification and validation in computational engineering and science: basic concepts , 2004 .

[50]  P. Roache.  Building PDE codes to be verifiable and validatable , 2004, Computing in Science & Engineering.

[51]  R. Cooke,et al.  Expert judgement elicitation for risk assessments of critical infrastructures , 2004 .

[52]  Jon C. Helton,et al.  An exploration of alternative approaches to the representation of uncertainty in model predictions , 2003, Reliab. Eng. Syst. Saf..

[53]  A. O'Hagan,et al.  Statistical Methods for Eliciting Probability Distributions , 2005 .

[54]  A. Saltelli,et al.  Sensitivity analysis for chemical models. , 2005, Chemical reviews.

[55]  G. Klir.  Measure of Uncertainty and Information , 2006 .

[56]  Roger M. Cooke,et al.  Uncertainty Analysis with High Dimensional Dependence Modelling , 2006 .

[57]  Alessandro Petruzzi,et al.  STATE OF THE ART IN USING BEST ESTIMATE CALCULATION TOOLS IN NUCLEAR TECHNOLOGY , 2006 .

[58]  Laura Painton Swiler,et al.  Calibration, validation, and sensitivity analysis: What's what , 2006, Reliab. Eng. Syst. Saf..

[59]  A. OHagan,et al.  Bayesian analysis of computer code outputs: A tutorial , 2006, Reliab. Eng. Syst. Saf..

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

[61]  Michael S. Hamada,et al.  Engineering Index: An Engineering Certification/Qualification Metric , 2006 .

[62]  Didier Dubois,et al.  Practical representations of incomplete probabilistic knowledge , 2006, Comput. Stat. Data Anal..

[63]  A. Prošek,et al.  The State-of-the-Art Theory and Applications of Best-Estimate Plus Uncertainty Methods , 2007 .

[64]  Shuangzhe Liu,et al.  Global Sensitivity Analysis: The Primer by Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola , 2008 .

[65]  H. Glaeser,et al.  Best Estimate Safety Analysis for Nuclear Power Plants: Uncertainty Evaluation. IAEA Safety Report Series , 2008 .

[66]  Jon Craig Helton,et al.  Conceptual and computational basis for the quantification of margins and uncertainty. , 2009 .

[67]  Alessandro Petruzzi,et al.  RELAP5 simulation of surge line break accident using combined and best estimate plus uncertainty approaches , 2009 .

[68]  Jon C. Helton,et al.  Conceptual basis for the definition and calculation of expected dose in performance assessments for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada , 2009, Reliab. Eng. Syst. Saf..

[69]  A. Introduction,et al.  AN APPROACH FOR USING PROBABILISTIC RISK ASSESSMENT IN RISK-INFORMED DECISIONS ON PLANT- SPECIFIC CHANGES TO THE LICENSING BASIS , 2009 .

[70]  J. C. Helton,et al.  17 – Treatment of uncertainty in performance assessments for the geological disposal of radioactive waste , 2010 .