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Numerical model validation using experimental data: Application of the area metric on a Francis runner
[摘要] Nowadays, engineers are able to solve complex equations thanks to the increase of computing capacity. Thus, finite elements software is widely used, especially in the field of mechanics to predict part behavior such as strain, stress and natural frequency. However, it can be difficult to determine how a model might be right or wrong, or whether a model is better than another one. Nevertheless, during the design phase, it is very important to estimate how the hydroelectric turbine blades will behave according to the stress to which it is subjected. Indeed, the static and dynamic stress levels will influence the blade's fatigue resistance and thus its lifetime, which is a significant feature. In the industry, engineers generally use either graphic representation, hypothesis tests such as the Student test, or linear regressions in order to compare experimental to estimated data from the numerical model. Due to the variability in personal interpretation (reproducibility), graphical validation is not considered objective. For an objective assessment, it is essential to use a robust validation metric to measure the conformity of predictions against data. We propose to use the area metric in the case of a turbine blade that meets the key points of the ASME Standards and produces a quantitative measure of agreement between simulations and empirical data. This validation metric excludes any belief and criterion of accepting a model which increases robustness. The present work is aimed at applying a validation method, according to ASME V&V 10 recommendations. Firstly, the area metric is applied on the case of a real Francis runner whose geometry and boundaries conditions are complex. Secondly, the area metric will be compared to classical regression methods to evaluate the performance of the method. Finally, we will discuss the use of the area metric as a tool to correct simulations.
[发布日期]  [发布机构] Mechanical Engineering Department, Cole de Technologie Supérieure (TS), 1100 Rue Notre-Dame O, Montréal; QC; H3C1K3, Canada^1;Institut de Recherche d'Hydro-Québec (IREQ), 1800 boul. Lionel-Boulet, Varennes; QC; J3X1S1, Canada^2;Andritz Hydro Canada Inc., 6100 aut. Transcanadienne, Pointe Claire; QC; H9R1B9, Canada^3
[效力级别]  [学科分类] 
[关键词] Complex equations;Computing capacity;Graphic representation;Hydroelectric turbine blades;Objective assessment;Quantitative measures;Regression method;Validation metric [时效性] 
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