Verification, validation, and predictive capability in computational engineering and physics.

Oberkampf, William Louis ; Hirsch, Charles (Vrije Universiteit Brussel, Brussels, Belgium) ; Trucano, Timothy Guy

Sandia National Laboratories

关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Verification;    97;    Computer Codes;    Validation;   

DOI  :  10.2172/918370
RP-ID  :  SAND2003-3769
RP-ID  :  AC04-94AL85000
RP-ID  :  918370

美国|英语

来源: UNT Digital Library

【 摘 要 】

Developers of computer codes, analysts who use the codes, and decision makers who rely on the results of the analyses face a critical question: How should confidence in modeling and simulation be critically assessed? Verification and validation (V&V) of computational simulations are the primary methods for building and quantifying this confidence. Briefly, verification is the assessment of the accuracy of the solution to a computational model. Validation is the assessment of the accuracy of a computational simulation by comparison with experimental data. In verification, the relationship of the simulation to the real world is not an issue. In validation, the relationship between computation and the real world, i.e., experimental data, is the issue.