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SUMMARY:MICDE Seminar: Amanda Randles\, Department of Biomedical Engineering\, Duke University
DESCRIPTION:Bio: Amanda Randles is an assistant professor of Biomedical Engineering at Duke University. She has courtesy appointments in the departments of Mechanical Engineering and Material Science\, Computer Science and Mathematics\, and is a member of the Duke Cancer Institute. She got her Ph.D. from Harvard University in 2013\, and has been the recipient of the Lawrence Fellowship (Lawrence Livermore National Lab.)\, the Anita Borg Memorial Scholarship (Google)\, and the George Michael Memorial High Performance Computing Fellowship (ACM/IEEE) among many accomplishments in her early career. Her research in biomedical simulation and high performance computing focuses on the development of new computational tools that she uses to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. \nMassively Parallel Simulations of Hemodynamics in the Human Vasculature\nThe recognition of the role hemodynamic forces have in the localization and development of disease has motivated large-scale efforts to enable patient-specific simulations. When combined with computational approaches that can extend the models to include physiologically accurate hematocrit levels in large regions of the circulatory system\, these image-based models yield insight into the underlying mechanisms driving disease progression and inform surgical planning or the design of next generation drug delivery systems. Building a detailed\, realistic model of human blood flow\, however\, is a formidable mathematical and computational challenge. The models must incorporate the motion of fluid\, intricate geometry of the blood vessels\, continual pulse-driven changes in flow and pressure\, and the behavior of suspended bodies such as red blood cells. In this talk\, I will discuss the development of HARVEY\, a parallel fluid dynamics application designed to model hemodynamics in patient-specific geometries. I will cover the methods introduced to reduce the overall time-to-solution and enable near-linear strong scaling on up to 1\,572\,864 core of the IBM Blue Gene/Q supercomputer. Finally\, I will present the expansion of the scope of projects to address not only vascular diseases\, but also treatment planning and the movement of circulating tumor cells in the bloodstream. \nProf. Randles is being hosted by Dr. Carrasco-Teja (MICDE). If you would like to meet her during her visit please send an email to mcteja@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-amanda-randles-duke-university/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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DTSTART;TZID=America/Detroit:20180410T143000
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SUMMARY:MICDE Seminar: Raul Radovitzky\, Department of Aeronautics and Astronautics\, Massachusetts Institute of Technology
DESCRIPTION:Bio: Raul Radovitzky is the Raymond L. Bisplinghoff Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology. He also serves as the Associate Director of the MIT Institute for Soldier Nanotechnologies\, where he also leads research efforts on Blast and Ballistic Protection. He received a Civil Engineer degree from the University of Buenos Aires in 1991\, A S. M. in Applied Mathematics from Brown University in 1995 and a Ph.D. in Aeronautical Engineering from the California Institute of Technology in 1998. His research interests are in the development of numerical methods for multi-scale modeling of complex material response as well as in the formulation and implementation of algorithms for large-scale simulation of the dynamic response of materials to extreme loading conditions with emphasis on material and structural failure. The methods his group has developed have led to significant advances in our understanding of the physical effects of blast waves on the brain. This has helped to develop strategies to protect against Traumatic Brain Injury. Dr. Radovitzky is an Associate Fellow of the American Institute of Aeronautics and Astronautics and a member of the National Football League Head\, Neck and Spine Injury Research Committee. \nExtension of the peridynamic theory of solids for the simulation of materials under extreme loadings\nThe prediction of material and structural failure remains one of the most difficult challenges in structural and solid mechanics. Complexity emerges from the fundamental multiscale aspect of the mechanics of fracture\, where the small-scale response is usually responsible for large-scale system damage and failure. In addition\, significant algorithmic challenges remain\, including the difficulty in representing fracture\, some fundamental numerical convergence issues in the presence of material damage; and computational robustness and scalability enabling large-scale simulations.\nIn this presentation\, I will describe our efforts on the investigation of the theory of peridynamics and its numerical implementation\, as a promising alternative approach for simulating extreme material response. Peridynamics is a relatively new\, nonlocal formulation of continuum mechanics based on integral equations. It includes a physical length scale and naturally supports the presence of discontinuities in the solution field. As part of our work in this area\, we have proposed an extended formulation of the state theory of peridynamics addressing some fundamental issues present in the original theory. Specifically\, we have found that unphysical energy modes that do not contribute to the strain energy are allowed in the original formulation\, which\, in turn\, are responsible for the numerical instabilities commonly observed in peridynamic particle discretizations. In order to address this issue\, we introduce an extension of the constitutive correspondence framework based on bond-level nonlinear strain measures of the Seth-Hill type\, in direct analogy to local measures of deformation in continuum mechanics. We show that the numerical instabilities are eliminated when the numerical discretization is based on the extended theory.\nIn addition\, we have explored different approaches for incorporating material damage and fracture within the context of peridynamics formulations. I will describe one approach based on continuum damage models and another one particularly suited for brittle fracture.\nThe algorithms resulting from a particle discretizations of the proposed extended peridynamics framework have been implemented in our research code ΣMIT. I will provide examples illustrating the key numerical properties of the method. In addition\, I will show numerical results that demonstrate the ability of the method to capture experimentally observed ballistic limit curves for ductile materials\, as well as realistic fracture patterns in brittle materials subjected to projectile impact loadings. \nProf. Radovitzky is being hosted by Prof. Garikipati (Mechanical Engineering). If you would like to meet with him\, please send an email to micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-raul-radovitzky-mit/
LOCATION:Johnson Rooms\, Lurie Engineering Center\, 3rd Floor LEC 3213ABC\, 1221 Beal Ave.\, Ann Arbor\, MI\, United States
CATEGORIES:MICDE Seminar Series
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SUMMARY:MICDE Seminar: Vladimir Druskin\, Scientific Advisor\, Schlumberger Doll Research
DESCRIPTION:Bio: Vladimir Druskin is an applied mathematician with expertise in several areas including numerical algorithms\, large scale numerical simulations\, computational linear algebra\, inverse problems\, model reduction\, computational geophysics\, subsurface and medical imaging\, electrical engineering and financial mathematics. Dr. Druskin got his Ph.D. from Lomonosov Moscow State University (MSU) focused on applied mathematics. He is currently a scientific advisor at Schlumberger Doll Research working in energy research and development with demonstrated successful history of leading large collaborative industrial-academic projects in mathematical modeling and data-processing. \nReduced order models\, networks\, and applications to modeling and imaging with waves\nGeophysical seismic exploration\, as well as radar and sonar imaging require the solution of large-scale forward and inverse problems for hyperbolic systems of equations.  In this talk\, I will show how model order reduction can be used to address some intrinsic difficulties of these problems.  In model order reduction\, one approximates the response (transfer function) of a large-scale dynamical system using a smaller system\, called the reduced order model (ROM).  We consider ROMs that capture properties of the large problem that are essential for imaging and that can be realized via sparse graph-Laplacian networks.  The ROMs are data-driven\, i.e.\, they learn the underlying PDE problem from the transfer function.  One of the better-known applications of our ROMs is the efficient discretization of PDE problems in unbounded domains.  Here I will focus on two recent applications: (i) Multiscale modeling of elastic wave propagation via network approximations\, with low communication and computational cost; (ii) A direct\, nonlinear acoustic imaging algorithm in strongly heterogeneous media\, where the ROM is used to manipulate the data in such a way that multiply scattered waves are separated from the single scattered ones. \nDr. Druskin is being hosted by Prof. Borcea (Mathematics) and Prof. Schotland (Mathematics & Physics). If you would like to meet him\, please send an email to micde-contact@umich.edu
URL:https://micde.umich.edu/event/micde-seminar-vladimir-druskin-schlumberger-doll-research/
LOCATION:1360 East Hall\, 530 Church St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Featured Events,MICDE Seminar Series
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