메뉴 건너뛰기




Volumn 91, Issue 10-11, 2006, Pages 1331-1357

Calibration, validation, and sensitivity analysis: What's what

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; CALIBRATION; CODES (SYMBOLS); COMPUTER PROGRAMMING LANGUAGES; MATHEMATICAL TECHNIQUES; SENSITIVITY ANALYSIS; SIGNAL FILTERING AND PREDICTION;

EID: 33745699543     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2005.11.031     Document Type: Article
Times cited : (287)

References (86)
  • 1
    • 33745719841 scopus 로고    scopus 로고
    • United States Department of Energy. Advanced Simulation and Computing Program Plan. Sandia National Laboratories Fiscal Year 2005; Report SAND 2004-4607PP. Issued by Sandia National Laboratories for NNSA's Office of Advanced Simulation & Computing, NA-114, 2004.
  • 2
    • 33745733754 scopus 로고    scopus 로고
    • United States Department of Defense. DoD Directive No. 5000.59: Modeling and Simulation (M&S) Management, Defense Modeling and Simulation Office, Office of the Director of Defense Research and Engineering, 1994.
  • 3
    • 33745719889 scopus 로고    scopus 로고
    • United States Department of Defense. Verification, Validation, and Accreditation (VV&A) Recommended Practices Guide, Defense Modeling and Simulation Office, Office of the Director of Defense Research and Engineering, 1996.
  • 4
    • 33745733809 scopus 로고    scopus 로고
    • AIAA. Guide for the verification and validation of computational fluid dynamics simulations. Reston, VA: American Institute of Aeronautics and Astronautics, AIAA-G-077-1998; 1998.
  • 5
    • 33745705794 scopus 로고    scopus 로고
    • Trucano TG, Pilch M, Oberkampf WL. On the role of code comparisons in verification and validation. Report SAND2003-2752, Sandia National Laboratories 2003 (Available at http://www.sandia.gov).
  • 6
    • 0036544606 scopus 로고    scopus 로고
    • Verification and validation in computational fluid dynamics
    • Oberkampf W.L., and Trucano T.G. Verification and validation in computational fluid dynamics. Prog Aerospace Sci 38 (2002) 209-272
    • (2002) Prog Aerospace Sci , vol.38 , pp. 209-272
    • Oberkampf, W.L.1    Trucano, T.G.2
  • 8
    • 0027069894 scopus 로고
    • Groundwater models cannot be validated
    • Konikov L.F., and Bredehoeft J.D. Groundwater models cannot be validated. Adv Water Resour 15 (1992) 75-83
    • (1992) Adv Water Resour , vol.15 , pp. 75-83
    • Konikov, L.F.1    Bredehoeft, J.D.2
  • 9
    • 0028763687 scopus 로고
    • Verification, validation, and confirmation of numerical models in the earth sciences
    • Oreskes N., Shrader-Frechette K., and Belitz K. Verification, validation, and confirmation of numerical models in the earth sciences. Science 263 (1994) 641-646
    • (1994) Science , vol.263 , pp. 641-646
    • Oreskes, N.1    Shrader-Frechette, K.2    Belitz, K.3
  • 10
    • 19944417612 scopus 로고    scopus 로고
    • Verification, validation, and predictive capability in computational engineering and physics
    • Oberkampf W.L., Trucano T.G., and Hirsch C. Verification, validation, and predictive capability in computational engineering and physics. Appl Mech Rev 57 5 (2004) 345-384
    • (2004) Appl Mech Rev , vol.57 , Issue.5 , pp. 345-384
    • Oberkampf, W.L.1    Trucano, T.G.2    Hirsch, C.3
  • 13
    • 33745733810 scopus 로고    scopus 로고
    • Trucano TG, Pilch M, Oberkampf WL. General concepts for experimental validation of ASCI code applications. Report SAND2002-0341, Sandia National Laboratories 2002 (Available at http://www.sandia.gov).
  • 14
    • 33745705793 scopus 로고    scopus 로고
    • Chen MI, Trucano TG. ALEGRA validation studies for regular, Mach, and double Mach shock reflection in gas dynamics. Report SAND2002-2240, Sandia National Laboratories 2002 (Available at http://www.sandia.gov).
  • 15
    • 33745733811 scopus 로고    scopus 로고
    • Sandoval DL. CAVEAT calculations of shock interactions. Report LA-11001-MS, Los Alamos National Laboratory 1987.
  • 16
    • 33745691559 scopus 로고    scopus 로고
    • Trucano TG, et al. Description of the Sandia validation metrics project. Report SAND2001-1339, Sandia National Laboratories 2001 (Available at http://www.sandia.gov).
  • 17
    • 84979353538 scopus 로고
    • Seven components of judgmental forecasting skill: implications for research and the improvement of forecasts
    • Stewart T.R., and Lusk C.M. Seven components of judgmental forecasting skill: implications for research and the improvement of forecasts. J Forecasting 13 (1994) 579-599
    • (1994) J Forecasting , vol.13 , pp. 579-599
    • Stewart, T.R.1    Lusk, C.M.2
  • 19
    • 0019393403 scopus 로고
    • Characterization and evaluation of uncertainty in probabilistic risk analysis
    • Parry G.W., and Winter P.W. Characterization and evaluation of uncertainty in probabilistic risk analysis. Nucl Saf 22 1 (1981) 28-42
    • (1981) Nucl Saf , vol.22 , Issue.1 , pp. 28-42
    • Parry, G.W.1    Winter, P.W.2
  • 20
    • 0022316397 scopus 로고
    • Probability and uncertainty in nuclear safety decisions
    • Paté-Cornell M.E. Probability and uncertainty in nuclear safety decisions. Nucl Eng Des 92 2-3 (1986) 319-327
    • (1986) Nucl Eng Des , vol.92 , Issue.2-3 , pp. 319-327
    • Paté-Cornell, M.E.1
  • 21
    • 0024130844 scopus 로고
    • On the meaning of probability in probabilistic safety assessment
    • Parry G.W. On the meaning of probability in probabilistic safety assessment. Reliab Eng Sys Saf 23 4 (1988) 309-314
    • (1988) Reliab Eng Sys Saf , vol.23 , Issue.4 , pp. 309-314
    • Parry, G.W.1
  • 22
    • 38249023638 scopus 로고
    • Uncertainty in probabilistic risk assessment
    • Apostolakis G.E. Uncertainty in probabilistic risk assessment. Nucl Eng Des 115 (1989) 173-179
    • (1989) Nucl Eng Des , vol.115 , pp. 173-179
    • Apostolakis, G.E.1
  • 23
    • 0025681550 scopus 로고
    • The concept of probability in safety assessments of technological systems
    • Apostolakis G.E. The concept of probability in safety assessments of technological systems. Science 250 4986 (1990) 1359-1364
    • (1990) Science , vol.250 , Issue.4986 , pp. 1359-1364
    • Apostolakis, G.E.1
  • 24
    • 0028131261 scopus 로고
    • Treatment of uncertainty in performance assessments of complex systems
    • Helton J.C. Treatment of uncertainty in performance assessments of complex systems. Risk Anal 14 4 (1994) 483-511
    • (1994) Risk Anal , vol.14 , Issue.4 , pp. 483-511
    • Helton, J.C.1
  • 25
    • 0028131950 scopus 로고
    • Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability
    • Hoffman F.O., and Hammonds J.S. Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability. Risk Anal 14 5 (1994) 707-712
    • (1994) Risk Anal , vol.14 , Issue.5 , pp. 707-712
    • Hoffman, F.O.1    Hammonds, J.S.2
  • 26
    • 0000490093 scopus 로고    scopus 로고
    • Guest editorial: treatment of aleatory and epistemic uncertainty in performance assessments for complex systems
    • Helton J.C., and Burmaster D.E. Guest editorial: treatment of aleatory and epistemic uncertainty in performance assessments for complex systems. Reliab Eng Syst Saf 54 2-3 (1996) 91-94
    • (1996) Reliab Eng Syst Saf , vol.54 , Issue.2-3 , pp. 91-94
    • Helton, J.C.1    Burmaster, D.E.2
  • 27
    • 0030286892 scopus 로고    scopus 로고
    • Uncertainties in risk analysis: six levels of treatment
    • Paté-Cornell M.E. Uncertainties in risk analysis: six levels of treatment. Reliab Eng Syst Saf 54 2-3 (1996) 95-111
    • (1996) Reliab Eng Syst Saf , vol.54 , Issue.2-3 , pp. 95-111
    • Paté-Cornell, M.E.1
  • 28
    • 0031376522 scopus 로고    scopus 로고
    • Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty
    • Helton J.C. Uncertainty and sensitivity analysis in the presence of stochastic and subjective uncertainty. J Stat Comput Simul 57 1-4 (1997) 3-76
    • (1997) J Stat Comput Simul , vol.57 , Issue.1-4 , pp. 3-76
    • Helton, J.C.1
  • 29
    • 2642533873 scopus 로고    scopus 로고
    • Helton JC, Oberkampf WL editor. Special issue: alternative representations of epistemic uncertainty. Reliab Eng Syst Saf 2004;85(1-3):1-376.
  • 31
    • 33745691556 scopus 로고    scopus 로고
    • Hills RG, Trucano TG. Statistical validation of engineering and scientific models: background. Report SAND99-1256, Sandia National Laboratories 1999 (Available at http://www.sandia.gov).
  • 32
    • 0037399810 scopus 로고    scopus 로고
    • Bayesian methodology for reliability model acceptance
    • Zhang R., and Mahadevan S. Bayesian methodology for reliability model acceptance. Reliab Eng Syst Saf 80 1 (2003) 95-103
    • (2003) Reliab Eng Syst Saf , vol.80 , Issue.1 , pp. 95-103
    • Zhang, R.1    Mahadevan, S.2
  • 33
    • 5444237044 scopus 로고    scopus 로고
    • Validation of reliability computational models using Bayesian networks
    • Mahadevan S., and Rebba R. Validation of reliability computational models using Bayesian networks. Reliab Eng Syst Saf 87 (2005) 223-232
    • (2005) Reliab Eng Syst Saf , vol.87 , pp. 223-232
    • Mahadevan, S.1    Rebba, R.2
  • 35
    • 33745719890 scopus 로고    scopus 로고
    • Campbell K. A brief survey of statistical model calibration ideas. Los Alamos Technical Report LA-UR-02-3157, 2002.
  • 36
    • 0023918923 scopus 로고
    • The perils of prudence: how conservative risk assessments distort regulation
    • Nichols A.L., and Zeckhauser R.J. The perils of prudence: how conservative risk assessments distort regulation. Regul Toxicol Pharmacol 8 (1988) 61-75
    • (1988) Regul Toxicol Pharmacol , vol.8 , pp. 61-75
    • Nichols, A.L.1    Zeckhauser, R.J.2
  • 37
    • 0029020053 scopus 로고
    • Challenges to default assumptions stimulate comprehensive realism as a new tier in quantitative cancer risk assessment
    • Sielken Jr. R.L., Bretzlaff R.S., and Stevenson D.E. Challenges to default assumptions stimulate comprehensive realism as a new tier in quantitative cancer risk assessment. Regul Toxicol Pharmacol 21 (1995) 270-280
    • (1995) Regul Toxicol Pharmacol , vol.21 , pp. 270-280
    • Sielken Jr., R.L.1    Bretzlaff, R.S.2    Stevenson, D.E.3
  • 38
    • 0033102040 scopus 로고    scopus 로고
    • An approach for using risk assessment in risk-informed decisions on plant-specific changes to the licensing basis
    • Caruso M.A., et al. An approach for using risk assessment in risk-informed decisions on plant-specific changes to the licensing basis. Reliab Eng Syst Saf 63 (1999) 231-242
    • (1999) Reliab Eng Syst Saf , vol.63 , pp. 231-242
    • Caruso, M.A.1
  • 39
    • 0036084671 scopus 로고    scopus 로고
    • Risk and uncertainty analysis in government safety decisions
    • Paté-Cornell M.E. Risk and uncertainty analysis in government safety decisions. Risk Anal 22 (2002) 633-646
    • (2002) Risk Anal , vol.22 , pp. 633-646
    • Paté-Cornell, M.E.1
  • 40
    • 33745705756 scopus 로고    scopus 로고
    • Oxford English Dictionary, Oxford University Press, Oxford
    • Oxford English Dictionary. Concise. 11th ed (2004), Oxford University Press, Oxford
    • (2004) Concise. 11th ed
  • 41
    • 33745691554 scopus 로고    scopus 로고
    • Red-Horse J, et al. Nondeterministic analysis of mechanical systems. Report SAND2000-0890, Sandia National Laboratories 2000 (Available at http://www.sandia.gov).
  • 42
  • 43
    • 48749139407 scopus 로고
    • The numerical simulation of two-dimensional fluid flow with strong shocks
    • Woodward P., and Colella P. The numerical simulation of two-dimensional fluid flow with strong shocks. J Comput Phys 54 1 (1984) 115-173
    • (1984) J Comput Phys , vol.54 , Issue.1 , pp. 115-173
    • Woodward, P.1    Colella, P.2
  • 44
    • 33745733798 scopus 로고    scopus 로고
    • NIST website on statistical process models, regression, parameter estimation, etc.: http://www.itl.nist.gov/div898/handbook/pmd/section1/pmd141.htm
  • 47
    • 0035648165 scopus 로고    scopus 로고
    • Bayesian calibration of computer models
    • Kennedy M.C., and O'Hagan A. Bayesian calibration of computer models. J R Stat Soc 63 (2001) 425-464
    • (2001) J R Stat Soc , vol.63 , pp. 425-464
    • Kennedy, M.C.1    O'Hagan, A.2
  • 48
    • 33745705785 scopus 로고    scopus 로고
    • Higdon D, Williams B, Moore L, McKay M, Keller-McNulty S. Uncertainty quantification for combining experimental data and computer simulations. Los Alamos Technical Report, LA-UR 04-6562, 2004.
  • 49
    • 33745733797 scopus 로고    scopus 로고
    • Bayarri MJ, Berger JO, Higdon D, Kennedy MC, Kotas RP, Sacks J, et al. A framework for validation of computer models. V&V Foundations Conference, 2002.
  • 56
    • 33745705760 scopus 로고    scopus 로고
    • Swiler LP, Trucano TG. Treatment of model uncertainty under calibration. In: Proceedings of the nineth ASCE specialty conference on probabilistic mechanics and structural reliability, 2004.
  • 57
    • 33745719856 scopus 로고    scopus 로고
    • Campbell K. Exploring Bayesian model calibration: a guide to intuition. Los Alamos Technical Report LA-UR-02-7175, 2002.
  • 58
    • 0035963913 scopus 로고    scopus 로고
    • A statistical method for tuning a computer code to a data base
    • Cox D.D., Park J.-S., and Singer C.E. A statistical method for tuning a computer code to a data base. Comput Stat Data Anal 37 (2001) 77-92
    • (2001) Comput Stat Data Anal , vol.37 , pp. 77-92
    • Cox, D.D.1    Park, J.-S.2    Singer, C.E.3
  • 59
    • 33745705755 scopus 로고
    • The status of supervised learning science circa 1994: the search for a consensus
    • Wolpert D.H. (Ed), Addison-Wesley, Reading, MA
    • Wolpert D.H. The status of supervised learning science circa 1994: the search for a consensus. In: Wolpert D.H. (Ed). The mathematics of generalization (1995), Addison-Wesley, Reading, MA
    • (1995) The mathematics of generalization
    • Wolpert, D.H.1
  • 60
    • 0036071370 scopus 로고    scopus 로고
    • On the mathematical foundations of learning
    • Cucker F., and Smale S. On the mathematical foundations of learning. Bull Am Math Soc 39 (2001) 1-49
    • (2001) Bull Am Math Soc , vol.39 , pp. 1-49
    • Cucker, F.1    Smale, S.2
  • 61
    • 0242705996 scopus 로고    scopus 로고
    • The mathematics of learning: dealing with data
    • Poggio T., and Smale S. The mathematics of learning: dealing with data. Notices Am Math Soc May (2003) 537-544
    • (2003) Notices Am Math Soc , vol.May , pp. 537-544
    • Poggio, T.1    Smale, S.2
  • 62
    • 33745719851 scopus 로고    scopus 로고
    • Igusa T, Trucano TG. Role of computational learning theory in calibration and prediction. In: Proceedings of the nineth ASCE specialty conference on probabilistic mechanics and structural reliability, 2004.
  • 69
    • 0023523402 scopus 로고
    • Water quality modeling: a review of the analysis of uncertainty
    • Beck M.B. Water quality modeling: a review of the analysis of uncertainty. Water Resour Res 23 (1987) 1393-1442
    • (1987) Water Resour Res , vol.23 , pp. 1393-1442
    • Beck, M.B.1
  • 71
    • 0027002932 scopus 로고    scopus 로고
    • Iman RL. Uncertainty and sensitivity analysis for computer modeling applications. In: Cruse TA, editor. Reliability technology-1992, Winter annual meeting of the American Society of Mechanical Engineers, Anaheim, CA, November 8-13, 1992. New York: American Society of Mechanical Engineers, Aerospace Division, 1992; (28). p. 153-68.
  • 72
    • 0027810117 scopus 로고
    • Uncertainty and sensitivity analysis techniques for use in performance safety assessment for radioactive waste disposal
    • Helton J.C. Uncertainty and sensitivity analysis techniques for use in performance safety assessment for radioactive waste disposal. Reliab Eng Syst Saf 42 2-3 (1993) 327-367
    • (1993) Reliab Eng Syst Saf , vol.42 , Issue.2-3 , pp. 327-367
    • Helton, J.C.1
  • 73
    • 21344476293 scopus 로고
    • Sensitivity and uncertainty analysis of complex models of disease transmission: an HIV model, as an Example
    • Blower S.M., and Dowlatabadi H. Sensitivity and uncertainty analysis of complex models of disease transmission: an HIV model, as an Example. Int Stat Rev 62 2 (1994) 229-243
    • (1994) Int Stat Rev , vol.62 , Issue.2 , pp. 229-243
    • Blower, S.M.1    Dowlatabadi, H.2
  • 74
    • 0028501607 scopus 로고
    • A review of techniques for parameter sensitivity analysis of environmental models
    • Hamby D.M. A review of techniques for parameter sensitivity analysis of environmental models. Environ Monit Assess 32 2 (1994) 135-154
    • (1994) Environ Monit Assess , vol.32 , Issue.2 , pp. 135-154
    • Hamby, D.M.1
  • 75
    • 0031190469 scopus 로고    scopus 로고
    • Guest editorial: the role of sensitivity analysis in the corroboration of models and its link to model structural and parametric uncertainty
    • Saltelli A., and Scott M. Guest editorial: the role of sensitivity analysis in the corroboration of models and its link to model structural and parametric uncertainty. Reliab Eng Syst Saf 57 (1997) 1-4
    • (1997) Reliab Eng Syst Saf , vol.57 , pp. 1-4
    • Saltelli, A.1    Scott, M.2
  • 76
    • 0032632420 scopus 로고    scopus 로고
    • Statistical analyses of scatterplots to identify important factors in large-scale simulations, 1: review and comparisons of techniques
    • Kleijnen J.P.C., and Helton J.C. Statistical analyses of scatterplots to identify important factors in large-scale simulations, 1: review and comparisons of techniques. Reliab Eng Syst Saf 65 2 (1999) 147-185
    • (1999) Reliab Eng Syst Saf , vol.65 , Issue.2 , pp. 147-185
    • Kleijnen, J.P.C.1    Helton, J.C.2
  • 78
    • 0036085488 scopus 로고    scopus 로고
    • Identification and review of sensitivity analysis methods
    • Frey H.C., and Patil S.R. Identification and review of sensitivity analysis methods. Risk Anal 22 3 (2002) 553-578
    • (2002) Risk Anal , vol.22 , Issue.3 , pp. 553-578
    • Frey, H.C.1    Patil, S.R.2
  • 79
    • 0036080354 scopus 로고    scopus 로고
    • Illustration of sampling-based methods for uncertainty and uncertainty analysis
    • Helton J.C., and Davis F.J. Illustration of sampling-based methods for uncertainty and uncertainty analysis. Risk Anal 22 3 (2002) 591-622
    • (2002) Risk Anal , vol.22 , Issue.3 , pp. 591-622
    • Helton, J.C.1    Davis, F.J.2
  • 80
    • 3242785664 scopus 로고    scopus 로고
    • A comparative review of sensitivity and uncertainty analysis of large-scale systems-I: deterministic methods
    • Ionescu-Bujor M., and Cacuci D.G. A comparative review of sensitivity and uncertainty analysis of large-scale systems-I: deterministic methods. Nucl Sci Eng 147 3 (2004) 189-203
    • (2004) Nucl Sci Eng , vol.147 , Issue.3 , pp. 189-203
    • Ionescu-Bujor, M.1    Cacuci, D.G.2
  • 81
    • 3242761482 scopus 로고    scopus 로고
    • Comparative review of sensitivity and uncertainty analysis of large-scale systems-II: statistical methods
    • Cacuci D.G., and Ionescu-Bujor M.A. Comparative review of sensitivity and uncertainty analysis of large-scale systems-II: statistical methods. Nucl Sci Eng 147 3 (2004) 204-217
    • (2004) Nucl Sci Eng , vol.147 , Issue.3 , pp. 204-217
    • Cacuci, D.G.1    Ionescu-Bujor, M.A.2
  • 82
    • 33745733758 scopus 로고    scopus 로고
    • Pilch M, et al. Guidelines for Sandia ASCI verification and validation plans-content and format: version 2.0. Report SAND2000-3101, Sandia National Laboratories 2001 (Available at http://www.sandia.gov).
  • 83
    • 11144237000 scopus 로고
    • Quantifying reactor safety margins. Part 1: an overview of the code scaling, applicability, and uncertainty evaluation methodology
    • Boyack B.E. Quantifying reactor safety margins. Part 1: an overview of the code scaling, applicability, and uncertainty evaluation methodology. Nucl Eng Des 119 (1990) 1-15
    • (1990) Nucl Eng Des , vol.119 , pp. 1-15
    • Boyack, B.E.1
  • 84
    • 0002542391 scopus 로고
    • Summary description of the methods used in the probabilistic risk assessments for NUREG-1150
    • Breeding R.J., Helton J.C., Gorham E.D., and Harper F.T. Summary description of the methods used in the probabilistic risk assessments for NUREG-1150. Nucl Eng Des 135 1 (1992) 1-27
    • (1992) Nucl Eng Des , vol.135 , Issue.1 , pp. 1-27
    • Breeding, R.J.1    Helton, J.C.2    Gorham, E.D.3    Harper, F.T.4
  • 85
    • 0343889813 scopus 로고    scopus 로고
    • Conceptual structure of the 1996 performance assessment for the waste isolation pilot plant
    • Helton J.C., Anderson D.R., Basabilvazo G., Jow H.-N., and Marietta M.G. Conceptual structure of the 1996 performance assessment for the waste isolation pilot plant. Reliab Eng Syst Saf 69 1-3 (2000) 151-165
    • (2000) Reliab Eng Syst Saf , vol.69 , Issue.1-3 , pp. 151-165
    • Helton, J.C.1    Anderson, D.R.2    Basabilvazo, G.3    Jow, H.-N.4    Marietta, M.G.5
  • 86
    • 0032205848 scopus 로고    scopus 로고
    • The role of the PIRT process in experiments, code development and code applications associated with reactor safety analysis
    • Wilson G.E., and Boyack B.E. The role of the PIRT process in experiments, code development and code applications associated with reactor safety analysis. Nucl Eng Des 186 (1998) 23-37
    • (1998) Nucl Eng Des , vol.186 , pp. 23-37
    • Wilson, G.E.1    Boyack, B.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.