Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing
This research proposes an architecture for a cloud-based, multi-user FEA pre-processing system, where multiple engineers can access and operate on the same model in a parallel environment. A prototype is discussed and tested, the results of which show that a multi-user preprocessor, where all comput...
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2013
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ndltd-BGMYU2-oai-scholarsarchive.byu.edu-etd-48122019-05-16T03:36:40Z Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing Briggs, Jared Calvin This research proposes an architecture for a cloud-based, multi-user FEA pre-processing system, where multiple engineers can access and operate on the same model in a parallel environment. A prototype is discussed and tested, the results of which show that a multi-user preprocessor, where all computing is done on a central server that is hosted on a high performance system, provides significant benefits to the analysis team. These benefits include a shortened preprocessing time, and potentially higher-quality models. 2013-11-14T08:00:00Z text application/pdf https://scholarsarchive.byu.edu/etd/3813 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4812&context=etd http://lib.byu.edu/about/copyright/ All Theses and Dissertations BYU ScholarsArchive finite element analysis fea cloud computing multi-user collaboration collaborative engineering pre-processing cae cax byu Mechanical Engineering |
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Others
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finite element analysis fea cloud computing multi-user collaboration collaborative engineering pre-processing cae cax byu Mechanical Engineering |
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finite element analysis fea cloud computing multi-user collaboration collaborative engineering pre-processing cae cax byu Mechanical Engineering Briggs, Jared Calvin Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing |
| description |
This research proposes an architecture for a cloud-based, multi-user FEA pre-processing system, where multiple engineers can access and operate on the same model in a parallel environment. A prototype is discussed and tested, the results of which show that a multi-user preprocessor, where all computing is done on a central server that is hosted on a high performance system, provides significant benefits to the analysis team. These benefits include a shortened preprocessing time, and potentially higher-quality models. |
| author |
Briggs, Jared Calvin |
| author_facet |
Briggs, Jared Calvin |
| author_sort |
Briggs, Jared Calvin |
| title |
Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing |
| title_short |
Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing |
| title_full |
Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing |
| title_fullStr |
Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing |
| title_full_unstemmed |
Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing |
| title_sort |
developing an architecture framework for cloud-based, multi-user, finite element pre-processing |
| publisher |
BYU ScholarsArchive |
| publishDate |
2013 |
| url |
https://scholarsarchive.byu.edu/etd/3813 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4812&context=etd |
| work_keys_str_mv |
AT briggsjaredcalvin developinganarchitectureframeworkforcloudbasedmultiuserfiniteelementpreprocessing |
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