Pilot-implementation of an aerospace design system into a parallel user simulation environment View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1996

AUTHORS

Herbert Rieger , Luciano Fornasier , Dirk Ockel , Stefan Haberhauer , Michael Resch , Nigel P. Weatherill

ABSTRACT

In the frame of the CAESAR project (CEC-EspritProject 8328) several end-user applications are integrated into a portable user environment enabling an unifying access to engineering design tools and moreover providing software- and system support as much as possible for any parallel hardware available, e.g. workstation-clusters or massive parallel systems. To find widespread acceptance a general approach has been chosen which is tested across disciplines by various industrial sectors as there are aerospace, chemical engineering and ship building.To explore the usefulness of such an approach for design purposes inside aerospace industry a typical task has been defined which aims on the establishment of a principal module of an advanced Aerodynamic Design System (ADS). The successful demonstration of such a prototype system could stand as an example for a possible future implementation of a general integrated engineering environment for aerospace design centers.The ADS implementation covers all elements necessary to perform aerodynamic multi-point shape optimization of aircraft configurations. The optimization method is built around two methods, called HISSS-D and AIRPLANE, which are parallelized to realize fast turn-around times in the design cycles needed. Different parallelisation strategies had to be chosen for both modules. Whereas the baseline HISSS-D method uses linear equation packages to solve the resulting set of algebraic equations characterized by full coefficient matrices, the AIRPLANE flow solver module is a typical unstructured CFD application which is parallelized by mesh decomposition techniques, which distribute mesh partitions to the various processor elements available. The parallelisation of the HISSS-D optimizer is performed by using publicly available parallel linear equation solver packages.In the paper the specific parallelisation techniques will be presented and first experiences of the running and integrated application will be discussed. More... »

PAGES

340-351

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-61142-8_568

DOI

http://dx.doi.org/10.1007/3-540-61142-8_568

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012695558


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