Title :
An adaptive grid method and its application to CFD learning and prediction
Author :
Becker, William ; Yu, Xinghuo ; Tu, Jiyuan
Author_Institution :
Sch. of Aerosp., RMIT Univ., Bundoora, VIC
Abstract :
A knowledge based engineering system, CFDLearner, which automatically learns results from a number of CFD simulations with a neural network is enhanced to automatically determine the optimum grid resolution where grid independence is found. Simulations are thereafter able to be run at a combination of the optimum grid resolution and lower grid resolutions to decrease the time spent on some simulations at a minor loss of accuracy. The system is explained and tested using single compartment fire simulations.
Keywords :
computational fluid dynamics; flow simulation; knowledge based systems; learning (artificial intelligence); mesh generation; neural nets; CFD learning; CFDLearner knowledge based engineering system; adaptive grid method; computational fluid dynamics simulation; fluid flow simulation; neural network; optimum grid resolution; single compartment fire simulation; Aerospace engineering; Application software; Computational fluid dynamics; Computational modeling; Fires; Knowledge engineering; Manufacturing; Neural networks; System testing; Systems engineering and theory;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758170
