Over six months ago, two students, Rob Moncur, pursuing his MS, and Satyan Chandra, pursuing his UnderGraduate Studies, in Brigham Young University (BYU) set out on a path to build a LS-DYNA crash-analysis model of the PACE F1 car in under 8 weeks. Under the guidance of their professor, Dr. Greg Jensen, and with minimum [...]
Author Archive for Suri Bala
LS-DYNA and D3VIEW helps BYU Students build PACE F1 Car
Published by August 27th, 2010 in LS-DYNA Bytes, d3View Features and d3view. 0 CommentsExperimental Data Management inside d3VIEW
Published by August 19th, 2010 in d3View Features and d3view. 0 CommentsAs a simulation engineer, we always like quick access to experimental data. Over the years, with a powerful framework that was developed within d3VIEW, this is now possible to import and visualize experimental data. With a few configurations, you can further tie this with simulation data for easy overlay and comparison. This following video shows [...]
During one of my recent trips, a question was raised about how LS-DYNA treats thick shells in contact in particular if the contact would detect the surface sides. This simulation Thickshells in contact shows that LS-DYNA treats the thickshells as solids in which all external (free) surfaces are included in the contact. ERODING contact would [...]
Visualizing Dynamic Relaxation Convergence
Published by July 29th, 2010 in LS-DYNA Bytes and d3View Features. 0 CommentsUnderstanding the rate of convergence when employing Explicit Dynamic Relaxation can be very useful to track model sensitivity and to solve convergence problems. d3VIEW now has support to auto-extract the convergence information after a simulation is completed. It also processes DR graphics data to identify points of divergence. Attached is a snapshot from a recent [...]
SPC Constraints in Dynamic Relaxation to Improve Convergence
Published by July 26th, 2010 in LS-DYNA Bytes. 0 CommentsStabilizing structures in Dynamic Relaxation Phase to improve convergence.
To view results from manual what-if studies, LS-OPT provides a great way to import these results so we can take advantage of its data visualization package. The attached image, an excerpt from the LS-OPT Manual, shows how we can do this.
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