An Automated DAKOTA and VULCAN-CFD Framework with Application to Supersonic Facility Nozzle Flowpath Optimization | |
Axdahl, Erik L. | |
PID : NTRS Document ID: 20150017613 RP-ID : NASA/TM-2015-218796 RP-ID : NF1676L-21745 RP-ID : L-20571 |
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学科分类:数学(综合) | |
美国|英语 | |
来源: NASA Technical Reports Server | |
【 摘 要 】
Removing human interaction from design processes by using automation may lead to gains in both productivity and design precision. This memorandum describes efforts to incorporate high fidelity numerical analysis tools into an automated framework and applying that framework to applications of practical interest. The purpose of this effort was to integrate VULCAN-CFD into an automated, DAKOTA-enabled framework with a proof-of-concept application being the optimization of supersonic test facility nozzles. It was shown that the optimization framework could be deployed on a high performance computing cluster with the flow of information handled effectively to guide the optimization process. Furthermore, the application of the framework to supersonic test facility nozzle flowpath design and optimization was demonstrated using multiple optimization algorithms.
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RO201706010003668LZ | 1618KB | download |