Intelligent Light and FieldView

This tag contains 2 private blog which isn't listed here.

Come See Us at Overset Grid Symposium 2018!

We are happy to be sponsors of the symposium again this year and look forward to seeing you there.

There are three opportunities to meet us and learn more about our work with FieldView, VVUQ and ​Data Analytics:

  1. Tutorial on Monday: FieldView: Parallel Calculation, Remote Visualization, Automation and Extract Based Workflows (See below for details)
  2. Presentation during symposium: Spectre: A Computational Environment for Managing Total Uncertainty Quantification of OVERFLOW based CFD studies  (See below for details)
  3. Visit our table in the exhibit area
We look forward to seeing you there!
Turbulent Wakes of the Lillgrund Wind Farm, simulated with W2A2KE3D, in situ processing with VisIt / Libsim image rendered in FieldView
Data Courtesy: M. Brazell, A. Kirby, and D. Mavriplis University of Wyoming   Image by: Intelligent Light


Earl Duque, PhD Manager of Applied Research, Intelligent Light

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.

Stephen Makinen, PhD Customer Application Engineer, Intelligent Light

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
  • Discussion
Continue reading
  0 Comments
0 Comments

Uncertainty Quantification (UQ) at ASME V&V Symposium

Uncertainty Quantification (UQ) of CFD data.

Earlier this month at the ASME V&V symposium, Seth Lawrence, a graduate student at our University Partner Northern Arizona University, presented his Master's thesis work on "Verification, Validation and Uncertainty Quantification of Turbulent Twin Jets". Seth was advised by our own Dr. Duque who maintains an adjunct Faculty position @ NAU. This event was Seth's first outing at a major international technical symposium. He did a great job of presenting (and defending) his work to the leaders in the field of V&V/UQ, such as Oberkampf, Roy, Celik and Eca. The work was a Challenge Problem sponsored by the ASME V&V 30 Committee.  GREAT JOB SETH!    

In Uncertainty Quantification (UQ), engineers utilize standardized procedures such as the ASME V&V 20 and V&V 30 guidelines to account for the effects of probabilistic inputs to a CFD simulation to arrive at a non-deterministic answer. Through UQ, an engineer could state with 95% certainty answers to their design question while justifying and documenting how they arrived at their answer.

This challenge problem was the only one at the symposium to focus on UQ. It is a key area of interest for those seeking to capitalize on information gleaned from verification & validation work in new design studies. 

To combine CFD and UQ analysis, Mr. Lawrence created an automated workflow using FieldView to post-process the results of Fluent solutions and pass data to Dakota (Sandia National Lab) and then pass data from Dakota as input to Fluent in an iterative process. FieldView was also used to visualize the CFD data to create images for the presentation and 3D PDF to share results.

"Seth did a great job presenting to the leaders in the VVUQ community. His work was well received and cited by other presenters later in the symposium.  It was gratifying to hear statements among veteran symposium participants including 'This is the first time I've seen error bars on a CFD result, very impressive.'"

Earl P. N. Duque, PhD Manager of Applied Research at Intelligent Light

Mr. Lawrence noted that he enjoyed the chance to see how the experts in this field approached the benchmark ASME turbulent twin jet numeric model validation problem.

Professor Tom L. Acker from NAU and Intelligent LIght's Earl P.N. Duque served as advisers on the project.

​Mr Lawrence used the 3D PDF export capability in FieldView throughout the development of the CFD model, allowing him to easily share results of his grid convergence study (CGI) and in the observed order of the solver (p-obs). 3D PDF files are downloadable below.

"Throughout the development of the CFD model, I made good use of the 3D PDF generator that is available in the new FieldView 16.1 package. This was very helpful in the presentation of model results, and provided the ability to easily send detailed model results of large CFD datasets in the form of a small file via email, and the recipient does not need any special software to view the 3D PDF results - fantastic!"

Seth Lawrence, Northern Arizona University

Download 3D PDF. 

Numerical uncertainty in y-velocity.

Download 3D PDF.

Observed y-velocity.

Adobe Acrobat Reader recommended for viewing. Do not attempt to open these 3D PDF documents from your web browser. It will fail, showing a black window with a colorbar. Adobe Acrobat Reader is needed to properly display the 3D content contained in these documents.  Once loaded in Adobe Acrobat Reader, the following message may appear, depending on your security settings: "3D content has been disabled. Enable this feature if you trust this document". From the Options menu, select "Trust this document…" and click anywhere in the document to cause a refresh of the graphics.


Continue reading
  0 Comments
0 Comments

UQ with Dakota & FieldView XDB Workflow at Overset Grids Symposium October 17–20, 2016

As CFD users increasingly exploit ultrascale HPC capability and approach the realm of exascale, they will run studies consisting of many related simulations at very high fidelity. This will give engineers and researchers both the ability and need to assess the quality of their simulations. When simulation quality has been vetted, engineering judgments and investment decisions can be made with confidence. 

Uncertainty Quantification (UQ) provides a means to support this need and Intelligent Light has been working on integrating UQ tools including Sandia National Lab's Dakota in an extract-based (XDB) workflow where processing takes place while solutions are in memory and data storage/transfer needs are dramatically reduced.

Dr. Earl P. N. Duque will present "Uncertainty Quantification with Dakota-OVERFLOW within an in situ based FieldView XDB Workflow" at the Overset Grids Meeting. Meet with Dr. Duque and Joe Oliver, Global Sales Manager, to learn how FieldView users are getting more information from their data. Put the latest in high-productivity post-processing, in situ processing and CFD data management techniques to work for you.

Intelligent Light is proud to sponsor this year's symposium which will be held at the Future of Flight Aviation Center in Mukilteo, Washington on October 17-20, 2016.

Attending? Request a meeting.

Presentation Abstract:

Uncertainty Quantification with Dakota-OVERFLOW Within an In Situ Based FieldView XDB Workflow
Authors:
Earl P.N. Duque, Intelligent Light
Dan Heipler, Intelligent Light

NASA has called out the integration of VV/UQ tools into engineering workflows as a vital component of its "CFD Vision 2030 Study". In that document, the authors assert that as exascale computing becomes available, the capability to perform many highly resolved CFD simulations will become ubiquitous, enabling the ability, and need, to perform UQ and sensitivity analysis. To address this need, this presentation summarizes current work whereby the Dakota code drives an ensemble of OVERFLOW2 jobs to explore a nested epistemic-aleatory parameter space. Concurrently, OVERFLOW2 instrumented with VisIt/Libsim creates FieldView XDB surfaces via in situ processing to reduce the data for post-hoc visualization and analysis. The presentation presents UQ concepts in general and their implementation within the current framework.

This work is sponsored by a DOE Office of Science grant (DE-SC0015162)


Continue reading
  0 Comments
0 Comments