An Intelligent Agent Architecture for Concurrent CFD Feature Extraction
CFD simulations are advancing to correctly simulate highly complex fluid flow problems that can require weeks on expensive computing clusters. These simulations can generate terabytes of data and pose a severe challenge to a researcher analyzing the data. Presented here is a solution to drastically reduce researcher post-processing time by extracting fluid flow features concurrent with a running CFD simulation using intelligent software agents. The software agents are designed to work inside the CAFÌE1 concept and operate efficiently on high performance computing clusters. Three types of agents are given and their belief tuples defined. A simulation of a blunt-fin is run showing convergence of the horseshoe fin line to its final spatial location at 540 iterations, or 60% of solution convergence. The agent architecture correctly selects between two vortex feature extraction algorithms and correctly identifies the expected probabilities of core lines throughout solution convergence.
C. H. Mortensen et al., "An Intelligent Agent Architecture for Concurrent CFD Feature Extraction," Proceedings of the 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition (2010, Orlando, FL), American Institute of Aeronautics and Astronautics (AIAA), Jan 2010.
48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition (2010: Jan. 4-7, Orlando, FL)
Electrical and Computer Engineering
Keywords and Phrases
Agent architectures; CFD simulations; Complex fluid flow; Computing clusters; Core lines; Feature extraction algorithms; Fin-lines; Fluid flow; High-performance computing clusters; Intelligent agent architecture; Intelligent software agent; Post processing; Spatial location, Aerospace engineering; Computational fluid dynamics; Computer simulation; Convergence of numerical methods; Feature extraction; Fins (heat exchange); Flow of fluids; Intelligent agents, Software agents
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2010 American Institute of Aeronautics and Astronautics (AIAA), All rights reserved.
01 Jan 2010