TAILIEUCHUNG - Supporting Finite Element Analysis with a Relational Database Backend

Tham khảo sách 'supporting finite element analysis with a relational database backend', công nghệ thông tin, cơ sở dữ liệu phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Supporting Finite Element Analysis with a Relational Database Backend Part III OpenDX - Where the Numbers Come Alive Gerd Heber Chris Pelkie Andrew Dolgert Cornell Theory Center 638 622 634 Rhodes Hall Cornell University Ithaca NY 14853 USA heber chrisp @ ajd27@ Jim Gray Microsoft Research San Francisco CA 94105 USA Gray @ David Thompson Visualization and Imagery Solutions Inc. 5515 Skyway Drive Missoula MT 59804 USA dthompsn @ December 2005 Technical Report MSR-TR-2005-151 Microsoft Research Microsoft Corporation One Microsoft Way Redmond WA 98052 Supporting Finite Element Analysis with a Relational Database Backend Part III OpenDX - Where the Numbers Come Alive Gerd Heber Chris Pelkie Andrew Dolgert Jim Grayt and David Thompson Cornell Theory Center 638 622 634 Rhodes Hall Ithaca NY 14853 USA heber@ chrisp@ ajd27@ tMicrosoft Research 455 Market St. San Francisco CA 94105 USA gray@ Visualization and Imagery Solutions Inc. 5515 Skyway Drive Missoula MT 59804 USA dthompsn@ Abstract ỉn this report we show a unified visualization and data analysis approach to Finite Element Analysis FEA . The example application is visualization of 3-D models of metallic polycrystals. Our solution combines a mature general-purpose rapid-prototyping visualization tool OpenDX formerly known as IBM Visualization Data Explorer 1 2 with an enterprise-class relational database management system Microsoft SQL Server 3 . Substantial progress can be made with established off-the-shelf technologies. This approach certainly has its limits and we point out some of the shortcomings which require more innovative products for visualization data and knowledge management. Overall the approach is a substantial improvement in the FEA life cycle and probably will work for other data-intensive sciences wanting to visualize and analyze massive simulation or measurement data sets. .

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