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Abstract

There are two main avenues to design space exploration. In the first approach, a simulation is run, analyzed, the problem modified, and the simulation run again. In the second approach, an ensemble simulation is performed and the battery of results is leveraged to construct a surrogate model for a given quantity of interest (QoI). The first approach allows a practitioner to methodically move through the design space and analyze a solution field. A disadvantage of this technique is that each new simulation requires time-consuming setup. The second approach provides the practitioner with a global view of the problem, but requires a priori design space limits and the QoI specification. In this work, we introduce an immersive simulation software framework that enables practitioners to maintain the flexibility of the first approach, while eliminating the burden of setting up new simulations. Immersive simulation can also be used to inform the second approach, establishing limits and clarifying QoI selection prior to the launch of an ensemble simulation. We demonstrate live, reconfigurable visualization of on-going simulations coupled with live, reconfigurable problem definition that guides users in determining problem parameters. Ultimately, an immersive simulation framework enables more efficient design space exploration that reduces the gap between simulations, data analysis, and insight extraction.

Article Highlights

Introduce and demonstrate an immersive simulation software framework that enables in situ visualization and problem redefinition.

Efficient quantity of interest extraction that reduces disk storage by a factor of 50,000.

Demonstrate the compatibility of immersive simulation with ensemble simulation and sensitivity analysis.

Details

Title
Software tools to enable immersive simulation
Author
Newberry, Felix 1 ; Wetterer-Nelson, Corey 1 ; Evans, John A. 1 ; Doostan, Alireza 1 ; Jansen, Kenneth E. 1   VIAFID ORCID Logo 

 University of Colorado, Ann and H.J. Smead Aerospace Engineering Sciences Department, Boulder, USA (GRID:grid.266190.a) (ISNI:0000000096214564) 
Pages
4697-4713
Publication year
2022
Publication date
Oct 2022
Publisher
Springer Nature B.V.
ISSN
01770667
e-ISSN
14355663
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2735576293
Copyright
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022.