There are three opportunities to meet us and learn more about our work with FieldView, VVUQ and Data Analytics:
- Tutorial on Monday: FieldView: Parallel Calculation, Remote Visualization, Automation and Extract Based Workflows (See below for details)
- Presentation during symposium: Spectre: A Computational Environment for Managing Total Uncertainty Quantification of OVERFLOW based CFD studies (See below for details)
- Visit our table in the exhibit area
Spectre: A Computational Environment for Managing Total Uncertainty Quantification of OVERFLOW based CFD studies
Dr. Earl P.N. Duque, Manager of Applied Research Group, Intelligent Light
The uncertainty in CFD based simulation results may be quantified through rigorous verification, validation and uncertainty quantification (VVUQ) procedures. Procedures and frameworks such as the ASME V&V 20, and Oberkampf and Roy Uncertainty frame work require extensive simulations, post-processing workflows and management of the simulation results to quantify the contributions of numerical uncertainty, model input uncertainty and model form uncertainty to the total uncertainty for any given study or design. To date, the application of VVUQ procedures were ad hoc implementations. Spectre is a new computational environment designed to enable CFD practitioners to easily quantify the total uncertainty in their computational study and campaigns. This presentation will present how Spectre makes use of "Wizard-based" user interfaces to guide the user through all the steps needed to arrive at the total uncertainty using the OVERFLOW2 code. Work in progress case studies based upon a UQ study of a NACA0012 airfoil at zero lift, a multi-element airfoil and the AIAA High Lift Prediction workshop Common Research Model will be presented.
FieldView: Parallel Calculation, Remote Visualization, Automation and Extract Based Workflows
Dr. Stephen Makinen, Customer Application Engineer, Intelligent Light
Synopsis: Modern high-fidelity physics simulation methods generate massive amounts of data, so a challenging scenario exists for efficiently processing results to create new knowledge. The rate of new data generation has far surpassed data rates for disk read/write operations and transfer from remote computational facilities. FieldView post-processing enables scientists and engineers to efficiently create new knowledge with scalable methods that navigate around these limitations. The FieldView tutorial will cover the following topics.
- Overview of FieldView including new and upcoming features
- Parallel calculations for efficient post-processing
- Remote visualizations to reduce data transfer
- Extract based workflows to minimize disk read/write operations
- Data analytics for solution decomposition and insight into the underlying state-variables
- Automation with Scripting