Validation challenge workshop. (English) Zbl 1155.74054
Summary: This special issue presents the results of the Sandia organized Model Validation Challenge Workshop, held May 2006. The workshop brought together researchers from different fields to present various approaches to model validation, and focused on the methodological elements of model validation rather than on model building. Three problems were defined in the disciplines of structural statics, structural dynamics, and heat transfer, all with a uniform structure. The workshop was specifically designed to investigate the relative merits of different approaches to hierarchical model validation through application to these problems. This paper describes a hierarchical approach in the challenge problems, presents the uniform conceptual framework that was used for the challenge problem definitions, and provides an overview of the organization of this special issue.
MSC:
| 74S99 | Numerical and other methods in solid mechanics |
| 74Mxx | Special kinds of problems in solid mechanics |
| 80Mxx | Basic methods in thermodynamics and heat transfer |
| 00A71 | General theory of mathematical modeling |
Keywords:
validation methodology; structural statics; structural dynamics; heat transfer; hierarchical modelReferences:
| [1] | Aeschliman, D. P.; Oberkampf, W. L., Experimental methodology for computational fluid dynamics code validation, AIAA J., 36, 5, 733-741 (1998) |
| [2] | AIAA, Guide for the Verification and Validation of Computational Fluid Dynamics Simulations, American Institute of Aeronautics and Astronautics, AIAA-G-077-1998, Reston, VA, 1998.; AIAA, Guide for the Verification and Validation of Computational Fluid Dynamics Simulations, American Institute of Aeronautics and Astronautics, AIAA-G-077-1998, Reston, VA, 1998. · Zbl 0973.70001 |
| [3] | ASME, Guide for Verification and Validation in Computational Solid Mechanics, The American Society of Mechanical Engineers, ASME V&V 10-2006, New York, NY, 2006.; ASME, Guide for Verification and Validation in Computational Solid Mechanics, The American Society of Mechanical Engineers, ASME V&V 10-2006, New York, NY, 2006. |
| [4] | Babuška, I.; Oden, J. T., Verification and validation in computational engineering and science: basic concepts, Comput. Meth. Appl. Mech. Engrg., 193, 4057-4066 (2004) · Zbl 1198.74126 |
| [5] | Babuška, I.; Oden, J. T., The reliability of computer predictions: can they be trusted?, Int. J. Numer. Anal. Model., 1, 1, 1-18 (2005) |
| [6] | Balci, O., Verification, validation, and testing, (Banks, J., Handbook of Simulation (1998), Engineering & Management Press), 335-393 |
| [7] | Chen, W.; Baghdasaryan, L.; Buranathiti, T.; Cao, J., Model validation via uncertainty propagation and data transformations, AIAA J., 42, 7, 1406-1415 (2004) |
| [8] | Coleman, H. W., Some observations on uncertainties and the verification and validation of a simulation, J. Fluids Engrg., 125, 733-735 (2003) |
| [9] | K.J. Dowding, Validation Challenge Workshop, Albuquerque, NM, Sponsored by Sandia National Laboratories, May 21-23, 2006.; K.J. Dowding, Validation Challenge Workshop, Albuquerque, NM, Sponsored by Sandia National Laboratories, May 21-23, 2006. |
| [10] | Fishman, G. S.; Kiviat, P. J., The statistics of discrete-event simulation, Simulation, April, 185-195 (1968) |
| [11] | Hatton, L., The T experiments: errors in scientific software, IEEE Comput. Sci. Engrg., 4, 2, 27-38 (1997) |
| [12] | Helton, J. C., Alternative representations of epistemic uncertainty, reliability engineering & system safety, Reliab. Engrg. Syst. Safe., 85, 1-10 (2004), (Special Issue on Alternative Representations of Epistemic Uncertainty) |
| [13] | Hills, R. G., Model validation: model parameter and measurement uncertainty, J. Heat Transf., 128, 4, 339-351 (2006) |
| [14] | Knupp, P.; Salari, K., Verification of Computer Codes in Computational Science and Engineering (2002), Chapman & Hall/CRC: Chapman & Hall/CRC Boca Raton, FL |
| [15] | Law, A. M.; Kelton, W. D., Simulation Modeling and Analysis (1982), McGraw-Hill: McGraw-Hill New York · Zbl 0489.65007 |
| [16] | Law, A. M., How to build valid, credible and appropriately detailed simulation models, Indus. Engrg., 22, 16-17 (1990) |
| [17] | Oberkampf, W. L.; Barone, M. F., Measures of agreement between computation and experiment: validation metrics, J. Comput. Phys., 217, 1, 5-36 (2006) · Zbl 1147.76606 |
| [18] | Oberkampf, W. L.; Trucano, T. G.; Hirsch, C., Verification, validation, and predictive capability in computational engineering and physics, Appl. Mech. Rev., 57, 5, 345-384 (2004) |
| [19] | Pelletier, D.; Turgeon, É.; Lacasse, D.; Borggaard, J., Adaptivity, sensitivity, and uncertainty: toward standards of good practice in computational fluid dynamics, AIAA J., 41, 10, 1925-1933 (2003) |
| [20] | Refsgaard, J. C.; Henriksen, H. J., Modelling guidelines – terminology and guiding principles, Adv. Water Resour., 27, 71-82 (2004) |
| [21] | Roache, P. J., Verification and Validation in Computational Science and Engineering (1998), Hermosa Publishers: Hermosa Publishers Albuquerque, NM |
| [22] | Roache, P. J., Code verification by the method of manufactured solutions, J. Fluids Engrg., 124, 1, 4-10 (2002) |
| [23] | Roy, C. J., Review of code and solution verification procedures for computational simulation, J. Comput. Phys., 205, 1, 131-156 (2005) · Zbl 1072.65118 |
| [24] | T.G. Trucano, M. Pilch, W.L. Oberkampf, General Concepts for Experimental Validation of ASCI Code Applications, SAND2002-0341, Sandia National Laboratories, Albuquerque, NM, 2002.; T.G. Trucano, M. Pilch, W.L. Oberkampf, General Concepts for Experimental Validation of ASCI Code Applications, SAND2002-0341, Sandia National Laboratories, Albuquerque, NM, 2002. |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
