Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/40846
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBauer, Andrew C.-
dc.contributor.authorForsythe, James R.-
dc.contributor.authorHaehnel, Robert B.-
dc.contributor.authorWissink, Andrew M.en_US
dc.contributor.authorJayaraman, Buvanaen_US
dc.contributor.authorSitaraman, Jayanarayananen_US
dc.date.accessioned2021-06-03T16:48:59Z-
dc.date.available2021-06-03T16:48:59Z-
dc.date.issued2021-06-
dc.identifier.govdocERDC MP-21-3-
dc.identifier.urihttps://hdl.handle.net/11681/40846-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/40846-
dc.descriptionMiscellaneous Paperen_US
dc.description.abstractThe CREATE-AV™ Helios CFD simulation code has been used to accurately predict rotorcraft performance under a variety of flight conditions. The Helios package contains a suite of tools that contain almost the entire set of functionality needed for a variety of workflows. These workflows include tools customized to properly specify many in situ analysis and visualization capabilities appropriate for rotorcraft analysis. In situ is the process of computing analysis and visualization information during a simulation run before data is saved to disk. In situ has been referred to with a variety of terms including co-processing, covisualization, coviz, etc. In this paper we describe the customization of the pre-processing GUI and corresponding development of the Helios solver code-base to effectively implement in situ analysis and visualization to reduce file IO and speed up workflows for CFD analysts. We showcase how the workflow enables the wide variety of Helios users to effectively work in post-processing tools they are already familiar with as opposed to forcing them to learn new tools in order post-process in situ data extracts being produced by Helios. These data extracts include various sources of information customized to Helios, such as knowledge about the near- and off-body grids, internal surface extracts with patch information, and volumetric extracts meant for fast post-processing of data. Additionally, we demonstrate how in situ can be used by workflow automation tools to help convey information to the user that would be much more difficult when using full data dumps.en_US
dc.description.sponsorshipUnited States. Army. Corps of Engineers.en_US
dc.format.extent17 pages / 3.22 MB-
dc.format.mediumPDF-
dc.language.isoen_USen_US
dc.publisherInformation Technology Laboratory (U.S.)en_US
dc.publisherCold Regions Research and Engineering Laboratory (U.S.)-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesMiscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC MP-21-3-
dc.relation.isversionofBauer, Andrew C., James R. Forsythe, Jay Sitaraman, Andrew M. Wissink, Buvaneswari Jayaraman, and Robert B. Haehnel. "In Situ Analysis and Visualization with CREATE-AV™ Helios." In AIAA Scitech 2021 Forum, p. 0943. 2021. https://doi.org/10.2514/6.2021-0943-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectHigh performance computingen_US
dc.subjectComputer simulationen_US
dc.subjectPrototypesen_US
dc.subjectEngineeringen_US
dc.subjectWeb-based user interfacesen_US
dc.titleIn situ analysis and visualization to enable better workflows with CREATE-AV™ Heliosen_US
dc.typeReporten_US
Appears in Collections:Miscellaneous Paper

Files in This Item:
File Description SizeFormat 
ERDC MP-21-3 .pdf3.22 MBAdobe PDFThumbnail
View/Open