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.
College and Department
Ira A. Fulton College of Engineering and Technology; Mechanical Engineering
BYU ScholarsArchive Citation
Briggs, Jared Calvin, "Developing an Architecture Framework for Cloud-Based, Multi-User, Finite Element Pre-Processing" (2013). All Theses and Dissertations. 3813.
finite element analysis, fea, cloud computing, multi-user, collaboration, collaborative engineering, pre-processing, cae, cax, byu