Essentially, one implements a model into a computer code and then uses the code to perform a CFD simulation which yield values used in the engineering analysis.
Verification and validation examines the errors in the code and simulation results.
In 1998 a survey was published on the extent to which software engineering papers validate the claims made in those papers. This current paper updates that survey with data from 2000 to 2005.
The basic conclusion is that the situation is improving.
was recently tasked with creating material to explain what Verification and Validation (V&V) are in relation to FEA (finite element analysis). • How do I apply this to FEA in “hands on” work, not as a software developer?
Effective inquiry must enact efficiencies between the overhead of validation and the utility achieved from experimental models.A fast growing discipline, business analytics practitioners are increasingly active embedding complex decision models in enterprise information technology systems: software-driven statistical analysis, large data-set management, business intelligence solutions, and decision support systems (DSS).The rise of increasingly complex analytics systems are accompanied by intricate decision models.This page presents an overview of the process of the verification and validation of computational fluid dynamics (CFD) simulations.The overall objective is to demonstrate the accuracy of CFD codes so that they may be used with confidence for aerodynamic simulation and that the results be considered credible for decision making in design.