A Knowledge-Based Approach to Automated Flow-Field Zoning for Computational Fluid Dynamics

A Knowledge-Based Approach to Automated Flow-Field Zoning for Computational Fluid Dynamics

Paperback (21 Nov 2018)

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Publisher's Synopsis

An automated three-dimensional zonal grid generation capability for computational fluid dynamics is shown through the development of a demonstration computer program capable of automatically zoning the flow field of representative two-dimensional (2-D) aerodynamic configurations. The applicability of a knowledge-based programming approach to the domain of flow-field zoning is examined. Several aspects of flow-field zoning make the application of knowledge-based techniques challenging: the need for perceptual information, the role of individual bias in the design and evaluation of zonings, and the fact that the zoning process is modeled as a constructive, design-type task (for which there are relatively few examples of successful knowledge-based systems in any domain). Engineering solutions to the problems arising from these aspects are developed, and a demonstration system is implemented which can design, generate, and output flow-field zonings for representative 2-D aerodynamic configurations. Vogel, Alison Andrews Ames Research Center ARTIFICIAL INTELLIGENCE; COMPUTATIONAL FLUID DYNAMICS; EXPERT SYSTEMS; FLOW DISTRIBUTION; FLOW GEOMETRY; GRID GENERATION (MATHEMATICS); KNOWLEDGE BASES (ARTIFICIAL INTELLIGENCE); AERODYNAMIC CONFIGURATIONS; APPLICATIONS PROGRAMS (COMPUTERS); LISP (PROGRAMMING LANGUAGE); LOGIC PROGRAMMING; THREE DIMENSIONAL MODELS; TWO DIMENSIONAL MODELS...

Book information

ISBN: 9781731497284
Publisher: Amazon Digital Services LLC - KDP Print US
Imprint: Independently Published
Pub date:
Language: English
Number of pages: 172
Weight: 413g
Height: 279mm
Width: 216mm
Spine width: 9mm