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Kathy Loeppky
Conference Coordinator

kloeppk@sandia.gov
(505) 844-2376










Speakers

Additional Speaker information will be posted soon.




Invited Speaker Bios and Abstracts

Todd Michal, The Boeing Company, St. Louis, MO

Title: Meshing for Industrial Aerospace Applications: Current and Future Needs

Biography: Todd Michal is a Technical Fellow in Computational Fluid Dynamics (CFD) with the Boeing Research and Technology organization in St. Louis, Missouri. He received his MS in Aeronautical Engineering from The Ohio State University and DSc in Mechanical Engineering from Washington University. Todd has over 30 years of expertise at Boeing in the application and development of CFD methods. His contributions include high-order discretization methods for unstructured grids, parallel computing implementations, and grid generation algorithm development. He leads CFD grid generation tool and technology development for The Boeing Company and provides grid generation tools used on nearly every air vehicle program in Boeing. His current focus areas include anisotropic adaptive meshing for complex aerospace applications, local mesh regeneration, parallel mesh generation and rapid modeling of complex geometry.

Abstract: Rapid increases in computing hardware speed over the past three decades have significantly increased the utility of computational analysis. Today, computational analysis is routinely used in the Aerospace industry to reduce costly flight and wind tunnel testing, reduce design cycle times and improve product performance. In this talk, we will explore the historical business climate and technological advances that have driven the expanded use of Computational Fluid Dynamics (CFD). This will be followed by an overview of CFD applications and methods in use at Boeing, emphasizing advances in the area of geometry and mesh generation. Examples of current day meshing challenges will be illustrated with sample applications. Shortcomings of today’s meshing techniques relative to air vehicle design needs will be examined and areas for future development will be highlighted. In particular, requirements for expanding the use of CFD in certification by analysis and the importance of adaptive meshing for generation of reliable and repeatable data will be highlighted. Progress in the development of anisotropic adaptive meshing for complex aerospace applications will be presented.


Dr. Wan Chiu Li, Paradigm GeoPhysical

Title: Meshing and Gridding for modelling of subsurface and simulations of flow/geomechanics in SKUA-GOCAD(r)

Biography: Wan Chiu is a software development manager with R&D department of Paradigm GeoPhysical. He was born in Fujian, China and grew up in Hong Kong. He received his BEng and MPhil in Electrical and Electronics Engineering from the University of Hong Kong. In 2003, he started a doctoral program in France funded by INRIA (French Institute for Research in Computer Science and Automation). In 2006, he defended his thesis titled "Automatic Mesh to Spline Surface Conversion" and received this PhD from National Polytechnic Institute of Lorraine. He then joined Paradigm in 2007 where he works with a group of passionate people who are set out to innovate modeling in oil and gas industry. He currently heads the subsurface modelling and meshing for simulation teams in Nancy, France.

Abstract: GOCAD(r) has led the industry for over 20 years in providing the most advanced capabilities for seismic, geological and reservoir modeling. In 2013, GOCAD merged with SKUA(r), to create the most technologically advanced modeling application on the oil and gas market. In this talk, I will recount more about this SKUA-GOCAD(r) success story, during which we will see how good meshing contributes to it. We will also discuss the geological complexity that we can currently handle and an overview of different types of meshes/grids that we can robustly build from the complex models for different purposes, e.g. simulation of flow and/or geomechanics.


Dr. Juan Cebral, George Mason University, in Fairfax, VA, USA

Title: Understanding Cerebral Aneurysm Risk and Treatment Effectiveness through Patient-Specific Computational Modeling

Biography: Juan R. Cebral is a Professor with the Departments of BioEngineering and Mechanical Engineering of the Volgenau School of Engineering at George Mason University, in Fairfax, Virginia, USA. He was born in Plaza Huincul in the Patagonia Province of Neuquen, Argentina. He finished his undergraduate studies in Physics at the University of Buenos Aires, Argentina in 1991 and received his PhD in Computational Sciences and Informatics from George Mason University in 1996. He conducts research on image-based patient-specific computational modeling of cerebral blood flow and aneurysms in close collaboration with clinicians from Inova Fairfax Hospital and other institutions in the USA and around the world. He is a member of the Center for Computational Fluid Dynamics of the College of Sciences at GMU. He has co-authored over 90 journal papers, 10 book chapters, and over 170 conference papers. His research has been funded by the National Institutes of Health, the American Heart Association, the Whitaker Foundation as well as industrial partners such as Philips Healthcare and Boston Scientific. He teaches courses in Fluid Mechanics, Biofluids, High Performance Computing and Computational Methods.

Abstract: Intracranial aneurysms are localized dilatations of the cerebral arteries that have devastating consequences if they rupture. Selecting the best management option for patients with cerebral aneurysms is challenging because of the small natural rupture risk, the serious consequences of intracranial hemorrhages, and the not insignificant risks of surgical interventions. Improving the management of aneurysm patients requires detailed understanding of the mechanisms responsible for the development, enlargement and rupture of aneurysms as well as the effects of different medical devices and procedures used for their treatment. In this talk I will summarize our efforts toward these goals. First, I will describe our studies of the role of blood flows (hemodynamics) in the processes of aneurysm progression and rupture. For this purpose, we have develop tools and workflows for efficiently creating patient-specific models of the blood flow in cerebral arteries and aneurysms from 3D medical images. Using these tools we have created a database of over 1500 computational fluid dynamics models of cerebral aneurysms that we are utilizing to test different hypotheses and answer specific clinical questions. Secondly, I will describe our efforts to understand the effect of endovascular devices such as flow diverting stents and intrasaccular flow diverters used on cerebral aneurysms difficult to treat with other surgical or minimally invasive procedures. This is a challenging problem because of the complex geometries of the endovascular devices when deployed within patient-specific vascular geometries.

Computational modeling is an attractive approach for investigating basic science questions as well as for testing clinical hypotheses and designing new medical devices and procedures. However, this strategy poses new challenges because it involves not only complex geometries but also complex coupled biological and biomechanics processes.


Dr. Romain Aubry, Naval Research Laboratory

Title: Capstone: A software platform for geometry, mesh generation and attribution for physics-based computational methods

Biography: Dr. Aubry received his Ph.D from the Polytecnic University of Catalunya in Barcelona, Spain, in 2006 on incompressible thermally coupled Lagrangian flows. He then spent two years as Post-doc with professor Löhner at George Mason University, Fairfax, Viriginia, working on viscous mesh generation and iterative solvers applied to hemodynamics. He then joined the Barcelona Supercomputing Center in Barcelona, Spain, working on mesh generation and massively parallel solvers applied to numerical weather prediction. Since 2010, he is a research scientist at the the Naval Research Laboratory, Washington DC, working on mesh generation for the Capstone team in the CREATE project.

Abstract: We describe the design, development and application of Capstone - a software platform for rapid, robust and automated generation of analyzable representations (geometry, mesh and attribution) needed for physics-based analyses and design of complex engineering systems. Capstone is developed by the Meshing and Geometry Project as part of the DoD High Performance Computer Modernization Program's CREATE program. In addition to describing the development of algorithms for anisotropic surface and volume mesh generation including boundary layer, we also discuss several interconnected issues including robust sizing representation, complex tessellation as well as the CAD-agnostic, plugin-based extensible architecture of Capstone. We present several examples that show the application and impact of Capstone on di erent stages of the design process spanning conceptual/early design to detailed analysis for applications of DoD interest.



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