ASME V-V-20-2009 pdf download

ASME V-V-20-2009 pdf download.Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer.
Ideally, as a V&V program is initiated, those responsible for the simulations and those responsible for the experiments should be involved cooperatively in designing the V&V effort. The validation variables should be chosen and def ned with care. Each measured variable has an inherent temporal and spatial resolution, and the experimental result that is determined from these measured variables should be compared with a predicted result that possesses the same spatial and tem- poral resolution. If this is not done, such conceptual errors must be identif ed and corrected or estimated in the initial stages of a V&V effort, or substantial resources can be wasted and the entire effort may be compromised. Finally, as an aid to the reader of this Standard, the following guide to the topics and discussions of each section are presented. It is recommended that the reader proceed through the Standard beginning in Section 1 and successively read each subsequent section. The presentation in this Standard follows a procedure starting with verif cation (code and solution), proceeding to parameter uncertainty assessment, experimental uncertainty assessment, simulation vali- dation, and concluding with a comprehensive example problem. As stated, this Standard follows an overall procedure; however, each section of this Standard may also be viewed as a standalone presentation on each of the relevant topics. The intent of this document is validation in which uncertainty is determined for both the experimental data and the simulation of the experiment. However, the material in Sections 2, 3, and 4 can be studied independently of the remain- der of the document as they are important in their own right. A reader’s guide follows: Section 1 presents an introduction to the concepts of verif cation and validation, the def nitions of error and uncer- tainty, and the introduction of the overall validation methodology and approach as def ned in this Standard.
oposing Revisions. Revisions are made periodically to the Code to incorporate changes that appear necessary or desirable, as demonstrated by the experience gained from the application of the Code. Approved revisions will be published periodically. The Committee welcomes proposals for revisions to this Code. Such proposals should be as specif c as possible, citing the paragraph number(s), the proposed wording, and a detailed description of the reasons for the proposal, including any pertinent documentation. Proposing a Case. Cases may be issued for the purpose of providing alternative rules when justif ed, to permit early implementation of an approved revision when the need is urgent, or to provide rules not covered by existing provi- sions. Cases are effective immediately upon ASME approval and shall be posted on the ASME Committee Web page. Requests for Cases shall provide a Statement of Need and Background Information. The request should identify the Code, the paragraph, f gure or table number(s), and be written as a Question and Reply in the same format as exist- ing Cases. Requests for Cases should also indicate the applicable edition(s) of the Code to which the proposed Case applies.
The scope of this Standard is the quantif cation of the degree of accuracy of simulation of specif ed validation variables at a specif ed validation point for cases in which the conditions of the actual experiment are simulated. Consideration of solution accuracy at points within a domain other than the validation points (e.g., interpola- tion/extrapolation in a domain of validation) is a matter of engineering judgment specif c to each family of prob- lems and is beyond the scope of this Standard. Fluid dynamics and heat transfer are the areas of engi- neering and science that are specif cally addressed, but the validation approach discussed is applicable in other areas as well. Discussion and examples are centered on models using partial differential equations, but simpler models also fall within the purview of the validation approach. 1-3 ERRORS AND UNCERTAINTIES Pertinent def nitions from metrology are as follows: (a) error (of measurement), ?: “result of a measurement minus a true value of the measurand” [5]