Concepts of Model Verification and Validation

Concepts of Model Verification and Validation
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DOI:
10.2172/835920
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发表时间:
2004-10
期刊:
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影响因子:
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通讯作者:
B. Thacker;S. Doebling;F. Hemez;Mc Anderson;J. Pepin;E. Rodriguez
B. Thacker;S. Doebling;F. Hemez;Mc Anderson;J. Pepin;E. Rodriguez
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其他
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作者:
B. Thacker;S. Doebling;F. Hemez;Mc Anderson;J. Pepin;E. Rodriguez

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因此,模型验证和确认(VV)不能证明模型对于所有可能的场景都是正确和准确的,但是,它可以提供证据,证明模型对于其预期用途是足够准确的。模型V&V从根本上不同于软件V&V。开发计算机程序的代码开发人员执行软件V&V来确保代码的正确性、可靠性和健壮性。在模型V&V中,最终产品是基于待解决问题的基本物理原理的预测模型。在所有有实际意义的应用中,用模型获得解所涉及的计算都需要计算机代码,例如,有限元或有限差分分析。因此,寻求开发可信预测模型的工程师迫切需要模型V&V指南和程序。模型V&V过程的预期结果是实验数据与模型预测之间的量化一致程度,以及模型的预测精度。本报告试图描述一个成功的V&V项目的一般哲学、定义、概念和过程。这一目标的动机是需要高度精确的数值模型来进行预测,以支持SSP,同时也缺乏对复杂数值模型进行V&V的指南、标准和程序。«少
Model verification and validation (VV thus, V&V cannot prove that a model is correct and accurate for all possible scenarios, but, rather, it can provide evidence that the model is sufficiently accurate for its intended use. Model V&V is fundamentally different from software V&V. Code developers developing computer programs perform software V&V to ensure code correctness, reliability, and robustness. In model V&V, the end product is a predictive model based on fundamental physics of the problem being solved. In all applications of practical interest, the calculations involved in obtaining solutions with the model require a computer code, e.g., finite element or finite difference analysis. Therefore, engineers seeking to develop credible predictive models critically need model V&V guidelines and procedures. The expected outcome of the model V&V process is the quantified level of agreement between experimental data and model prediction, as well as the predictive accuracy of the model. This report attempts to describe the general philosophy, definitions, concepts, and processes for conducting a successful V&V program. This objective is motivated by the need for highly accurate numerical models for making predictions to support the SSP, and also by the lack of guidelines, standards and procedures for performing V&V for complex numerical models.« less