- Invited Speaker: Dr. Yang Liu - Microsoft Research Asia
- Invited Speaker: Dr. Scott Shaw - Airbus
- Invited Speaker: Dr. Chandrajit Bajaj - University of Texas at Austin
- Invited Speaker: Dr. Rainald Lohner - George Mason University
Title: New Approaches In Quadrilateral And Hexahedral Meshing
To view Dr. Liu's presentation click here IMR2013-talk-yangliu.
Biography: Yang Liu is an associate researcher in the Internet Graphics group at Microsoft Research Asia. He received his PhD degree in computer science from The University of Hong Kong in 2008, Master and Bachelor degrees in computational mathematics from University of Science and Technology of China, in 2003 and 2000 respectively. After completing his PhD degree in 2008, he worked in the Alice group at INRIA/LORIA as a Post-Doctoral researcher. He joined Microsoft Research Asia in 2010. His research interests span in geometric modeling, computer-aided geometric design, and architectural geometry. His recent work focuses on applying geometric optimization in generating high quality quadrilateral/hexahedral meshes for geometric modeling and architectural construction. His IMR talk will include: 1) Distance function-based quad/hexahedral dominant meshing; 2) Frame-guided all-quad/all-hexahedral meshing.
Abstract: Centroidal-Voronoi-Tessellation (CVT) –based methods have shown their strengths in generating high-quality simplical meshes. Their generalization, Lp CVT also demonstrates its capability in quad-dominant and hexahedral-dominant meshing. In the first part of my talk, I will review CVT-based meshing approaches and discuss their strengths and weaknesses. I will introduce a novel convex-distance-based CVT that is more general than existing CVT-based methods and is capable to produce interesting and useful meshing results.
All-quad and All-hexahedral meshing are difficult and demanded in many applications. Recently frame-guided all-quad and all-hex meshing presents some promising results. In the second part of my talk, I will present my recent work on planar quadrilateral mesh design for architectural geometry which is based on conjugate directional field, and all-hex meshing for a given volume that is driven by a 3D singularity-restricted field.
Title: Mesh Direction: Current application and future meshing needs for aerodynamic simulation at Airbus
Biography: Scott Shaw has a degree in Aeronautical engineering and a PhD in Computational Aerodynamics. He spent 11 years at Cranfield University where he researched and taught computational aerodynamics. At Cranfield his research was motivated by the need to understand high-speed vortical flows and he worked on diverse applications including helicopter rotor aerodynamics, supersonic and hypersonic weapon aerodynamics and motorsport aerodynamics. In 2006 he joined Airbus to co-ordinate the development of the Airbus hybrid structured-unstructured meshing tools. In 2011 he moved to Bremen in Germany from where he now leads the Airbus teams in Filton (U.K.) and Bremen (Germany).
Abstract: Over the past decade there has been a significant change in the role of aerodynamic simulation at Airbus. The use of computational simulation has increased dramatically and is increasingly the primary aerodynamic design means whilst the amount of physical simulation (wind tunnel testing) for conventional configurations has been reduced. In this presentation we explore how Airbus has developed meshing tools and processes to support aerodynamic simulation based design. Drawing on these experiences the talk concludes with an outlook on the future of aerodynamic meshing at Airbus.
Title: Multi-domain Meshing Challenges for Scalable Biophysical Simulations
Biography: Chandrajit Bajaj is the director of the Center for Computational Visualization, in the Institute for Computational and Engineering Sciences (ICES) and a Professor of Computer Sciences at the University of Texas at Austin. Bajaj holds the Computational Applied Mathematics Chair in Visualization. He is also an affiliate faculty member of Mathematics, Electrical Engineering, Bio-Medical Engineering, Neurobiology, and a fellow of the Institute of Cell and Molecular Biology. He is on the editorial boards for the International Journal of Computational Geometry and Applications, the ACM Computing Surveys, and the Journal of Visualization. He is a fellow of the American Association for the Advancement of Science (AAAS), and a fellow of the Association of Computing Machinery (ACM).
Abstract: Understanding the fundamental relationship between structure and function has long been an important goal in the biological sciences. Through hierarchical modeling and mutli-physics simulations/analysis we attempt to discover the precise roles that geometric shapes and spatial interrelationships play in determining the functional properties and constraints evident at that scale. In this talk I shall consider the finite element meshing challenges when considering the stable and accurate scale bridging analysis of bio-physical interactions between multiple packed domains and of scalable size. As analysis case studies I shall consider the binding affinity estimation of an assembly of proteins forming spherical shells, as well as, the electrical signaling characteristics between a packed forest of pyramidal neuronal cells in the brain. I shall also additionally discuss the dual meshing requirements and computational challenges for stable solutions of mixed finite element methods for these scenarios.
Title: Parallel Advancing Front Grid Generation Revisited
Biography: Rainald Lohner is the head of the CFD center at the department of computational and data sciences
of George Mason University in Fairfax, VA, in the outskirts of Washington, D.C. He received a MSc in
Mechanical Engineering from the Technische Universit¨at Braunschweig, Germany, as well as a PhD and DSc
in Civil Engineering from the University College of Swansea, Wales, where he studied under Profs. Ken
Morgan and Olgierd Zienkiewicz. His areas of interest include numerical methods, solvers, grid generation,
parallel computing, visualization, pre-processing and fluid-structure interaction. He is the author of more
than 700 articles covering the fields enumerated above, as well as a textbook on Applied CFD Techniques.
The codes developed by Prof. L¨ohner have been used extensively for high-fidelity simulations of blaststructure
interaction, store separation, ship- and submarine flows, contaminant transport in urban areas,
flows in the brain and the bronchial system, as well as optimum shape and process design in the automotive
Abstract: A scalable, parallel advancing grid generation technique has been developed for complex geometries and meshes with large size variations. The key innovation compared to previous techniques is the use of a domain-defining grid that has the same fine surface triangulation as the final mesh desired, but a much coarser interior mesh. In this way, the domain to be gridded is uniquely defined, overcoming a shortcoming of previous approaches. This domain-defining grid is then partitioned according to the estimated number of elements to be generated, allowing for a balanced distribution of work among the processors. As a side benefit, the domain defining grid can be used to mesh with very high efficiency the inter-domain regions, another shortcoming of previous techniques. The domain defining grid is also used to redistribute the elements and points after grid generation, and during the subsequent mesh improvement. Timings show that the approach is scalable and able to produce large grids of high quality in a modest amount of clocktime.