Computational Fluid Dynamics Brief introduction to computational Fluid Dynamics, exhaustive books list, CFD people and links. http://www.sali.freeservers.com/engineering/cfd/
Extractions: Computational Fluid Dynamics , or simply CFD is concerned with obtaining numerical solution to fluid flow problems by using computers. The advent of high-speed and large-memory computers has enabled CFD to obtain solutions to many flow problems including those that are compressible or incompressible, laminar or turbulent, chemically reacting or non-reacting. The equations governing the fluid flow problem are the continuity (conservation of mass), the Navier-Stokes (conservation of momentum), and the energy equations. These equations form a system of coupled non-linear partial differential equations (PDEs). Because of the non-linear terms in these PDEs, analytical methods can yield very few solutions. In general, closed form analytical solutions are possible only if these PDEs can be made linear, either because non-linear terms naturally drop out (eg., fully developed flows in ducts and flows that are inviscid and irrotational everywhere) or because nonlinear terms are small compared to other terms so that they can be neglected (eg., creeping flows, small amplitude sloshing of liquid etc.). If the non-linearities in the governing PDEs cannot be neglected, which is the situation for most engineering flows, then numerical methods are needed to obtain solutions.
Extractions: Applied Research Associates, Incorporated is an independent, employee-owned, internationally recognized company focused on providing in-depth and diversified engineering, scientific research, and technical support services to the public and private sectors. ARA is a major force in solving the difficult technical issues associated with defense technologies, civil technologies, systems analysis, environmental engineering and science, security engineering and protective design, software development, testing and measurement, robotics, energy, risk analysis and management, earthquake engineering, information technology, infrastructure analysis, and geotechnical services and product manufacturing. The Silicon Valley Office, located in Mountain View, California, has expertise in a wide range of analytical and computational disciplines. The expertise can be applied to a wide variety of research, design and development projects. Current capabilities in the Silicon Valley Office include computational tools for nonlinear stress analysis, structural dynamics, fluid dynamics, thermal analysis, and fracture analysis. ARA staff are actively developing and applying these research tools to solve problems for both industry and the government.
Extractions: Scientific Program Committee Uri Ascher, University of British Columbia Michel Fortin, Laval University Hermann Brunner, Memorial University Peter Forsyth, University of Waterloo Tony Chan, University of California, Los Angeles Alan George, University of Waterloo Tom Coleman, Cornell University Ken Jackson, University of Toronto Wayne Enright, University of Toronto Bill Langford, University of Guelph Joe Flaherty, Rensselaer Polytechnic Institute Bob Russell, Simon Fraser University Sam Shen, University of Alberta Overview The Thematic Year on Numerical and Computational Challenges in Science and Engineering recognizes the central importance of Numerical Analysis in many areas of Science and Engineering. At the heart of the program will be the development, analysis and testing of new numerical methods for a broad range of mathematical problems arising in linear algebra, optimization, differential equations and dynamical systems. The program features a series of workshops which focus on several key application areas where the fruitful interaction between scientists, engineers and numerical analysts is already taking place and where progress is likely to lead to important practical advances in the next decade. Included among these are Climate Modelling, Computational Biology, Computational Finance and Computer Animation.
Computational Science And Engineering (CSE) Masters level course in computational Science and engineering. The course covers CFD and FEA techniques and specialised modules in Electronics Packaging. http://cse.gre.ac.uk/
Pagina Nueva 1 Held in Alicante, Spain. http://www.ua.es/cmmse2002/
AC&E Uses computational Fluid Dynamics and Finite Element Analysis to simulate aerodynamic performance and visualise the results. http://www.acel.co.uk/
Extractions: Computational Fluid Dynamics Laboratory - VB 203 The Computational Fluid Dynamics (CFD) Laboratory was established in 1997 by Prof. Timothy E. Dowling, an Associate Professor of Mechanical Engineering. Professor Dowling's research specialty is numerically modeling the atmospheric dynamics and thermodynamics of the gas giant planets (Jupiter, Saturn, Uranus, and Neptune). He is the author of a general circulation model (GCM) for planetary studies called the Explicit Planetary Isentropic-Coordinate ( EPIC ) atmospheric model. The EPIC model runs on distributed-memory parallel computers using the Message Passing Interface ( MPI ) standard, which is a freely available suite of library routines that allows one to turn any Unix computer cluster into a parallel computer. Using NASA funding, Professor Dowling has acquired an 8-processor (4-dual processor Pentium-II boards) Beowulf parallel computer that is dedicated to running EPIC model simulations. The operating system is Linux, a free version of Unix that runs on PC hardware and is well supported. The processors are connected by a fast ethernet (100 Mbps) switch. The CPU total is 2600 MHz, and the system was designed and built for less than $20,000 by Perijove Systems . (This price/performance ratio is remarkable considering that the system is faster than a 512-node nCUBE 2 machine used at MIT for similar simulations, which was purchased in the early 1990's for a million dollars. )
MS In Bioinformatics And Computational Biology, USF - Start Interdisciplinary program part of the College of Medicine. In cooperation with the math, biomedical engineering, and computer science departments. http://hsc.usf.edu/medicine/biochemistry/msbioinfocompbiol.html
Extractions: Medicine ... Search HSC Biochemistry and Molecular Biology Bioinformatics and Computational Biology Print Friendly USF Home HSC Home College of Medicine ... Biochemistry and Molecular Biology Master's of Science in Bioinformatics and Computational Biology The Masters Program in "Bioinformatics and Computational Biology" represents a multi-college partnership and a truly interdisciplinary collaboration. Participating departments include the Departments of in the College of Medicine, Mathematics in the College of Arts and Sciences, Computer Sciences and Engineering and the Division of Biomedical Engineering in the College of Engineering, in the College of Public Health and in the College of Business Administration. The Masters Program in Bioinformatics and Computational Biology was initiated and will be administered by the Department of Biochemistry and Molecular Biology in the College of Medicine. The program development has been supported by a grant from the Alfred P. Sloan Foundation. The goal of the Masters Program in Bioinformatics and Computational Biology is to provide students enrolled in the program with high quality training and education that will prepare them for careers in science, industry, health care and education. The curriculum has been designed accordingly and provides the theoretical background, the practical training and, with the internships, the "real life" experience, which will equip students with the essential tools for a successful career in the field of Bioinformatics and Computational Biology.
Biomagnetics Summary of computer modeling research on the electrical and magnetic activity of human heart and brain for 3D visualization and MRI error checking, at the Department of Electrical engineering, University of Washington, Seattle, WA. http://www.ee.washington.edu/research/compbe/
Extractions: Our group at the University of Washington is involved in computer modeling of the electrical activity of the human heart and brain under normal and diseased conditions and developing their noninvasive medical diagnostic applications. We are also developing biomedical applications of the electromagnetic fields. Currently we are working on the following projects: From the magnetic resonance imaging data anatomically accurate 3-D computer models of the human head and torso are built for computer modeling of the electrical activity of the human heart and brain. Studies are being conducted on developing efficient adaptive finite element models to quickly solve the voltage and current distribution in the whole and torso on desk-top workstations. This requires developing efficient and automatic image segmentation techniques, finite element modeling techniques and techniques for solving large matrices. From the measured electric or magnetic field data one needs to reconstruct the current distribution in the heart wall or localize the sites of the electrical activity in the brain. This requires solving the under-determined inverse problem by use of numerical optimization techniques, artificial neural networks and a combination of signal and image processing techniques. Currently we are developing techniques to solve the bioelectric and biomagnetic inverse problem in an integrated fashion to better localize the sites of the electrical activity in the brain with a mm size resolution.
Lai, Choi-Hong University of Greenwich. Research papers and activities in computational science and engineering, especially aeroacoustics. http://www.gre.ac.uk/~C.H.Lai/
Extractions: 2004 Lunar New Year Day: Thursday 22/01/2004. LI, Cai-Kang (Mandarin pronounciation) Member of Computational Science and Engineering Development Team Organiser for the IMA Special Interest Group - Computational Science and Engineering Interest Group University representative to the Institute of Mathematics and its Applications Conferences on advanced algorithms: 11th International Conference on Domain Decomposition, Greenwich, 20-24 July 1998
CCLRC Computational Science And Engineering Department The computational science and engineering activities of CCLRC provide worldclass expertise and support for UK theoretical and computational science http://www.cse.clrc.ac.uk/
Extractions: from the best computational methods and techniques The computational science and engineering activities within CCLRC provide world-class expertise and support for UK theoretical and computational science communities, in both academia and industry. Our cost-effective and efficient services are enabling predictions from complex theories to be calculated from first principles and be compared directly with experimental data.
WSEAS Conferences Promotes the development of new mathematical methods and computational techniques as well as their applications in science and engineering. http://www.worldses.org/announcement.htm
Extractions: One of six divisions at the California Institute of Technology, Chemistry and Chemical Engineering offers unique opportunities in a broad scope of traditional and interdisciplinary research areas. This site contains information for current and prospective students and researchers. If you cannot find what you need, check our search page. Division Seminars Click here for the latest updates. State-of-the-art facilities, combined with world-class faculty. Myriad opportunites for research. A great intramural softball league in the summer. It's no wonder that Caltech is #1. Applying to Caltech
Extractions: The Collaborative Computational Projects (CCPs), assist universities in developing, maintaining and distributing computer programs and promoting the best computational methods. They are funded by the UK's EPSRC, PPARC and BBSRC Research Councils. Each focuses on a specific area of research. back to top
FSU Jena:Department Of Mathematics And Computer Science Faculty of Mathematics and Computer Science. Research areas include algorithms and data structures, computational complexity, database and information systems, software engineering, programming languages, practical and technical computer science, digital image processing, and computer architecture. http://www.minet.uni-jena.de/english/
S3D Modeling Distinct element analysis (DEA) software for engineering powders and mixtures. computational analysis of Random Close Packings (RCP) using radical polyhedra and Delaunay triangulation. Online trial version availeble. http://siams.com/modeling
Extractions: Image Analysis 3D Modeling Combined Solutions Home ... Contact Products S3D SpheroPack S3D Evolution S3D SpheroPolyhedra Overview Usability Features and Capabilities 3D Modeling S3D Modeling software product is a unique scientific tool for 3-dimentional modeling of structure of granular materials and substances. The product row consists of three products: This product is using Granular Media theory, 3D analytical geometry and advanced method such as Distinct Element Method, Arbitrary dimensional convex hull model, Voronoi diagrams / Delaunay triangulations to create and study models of structures made up by filling rigid container of arbitrary shape or allocated space with multi-phase sphere-polyhedron particles with various micro and macro properties. S3D Modeling provides comprehensive visual and quantitative analysis of wide range of characteristics of the structures such as spatial density and porosity, including their spatial distribution, grain and pore structure and more. Examples
Extractions: Download Your Order publishes original research articles on numerical methods and their applications to science and engineering. Subject areas include initial and boundary value problems for ordinary and partial differential equations, and integral equations appearing in applied mathematics and mathematical physics. Theoretical contributions, numerical algorithms and computer simulations will be also within the scope of the journal. The journal will also concentrate on the interaction between different fields of applied mathematics. In this connection the journal will appreciate survey papers for publication. Abstracted / Indexed
The ERC At Mississippi State University Conducting coordinated crossdisciplinary research through interaction with industrial and governmental affiliates. http://www.erc.msstate.edu/
Extractions: Image1 = new Image(600,145) Image1.src = "/common/images/Header_ERC-Main.jpg" Image2 = new Image(600,145) Image2.src = "/common/images/Header_ERC-about.jpg" Image3 = new Image(600,145) Image3.src = "/common/images/Header_ERC-learning.jpg" Image4 = new Image(600,145) Image4.src = "/common/images/Header_ERC-service.jpg" Image5 = new Image(600,145) Image5.src = "/common/images/Header_ERC-research.jpg" Image6 = new Image(600,145) Image6.src = "/common/images/Header_ERC-search.jpg" The ERC is a coalition of member centers and groups that share a common core objective of advancing the state-of-the-art in computational science and engineering using high-performance computing; a common approach to research that embraces a multi-disciplinary, team-oriented concept; and a commitment to a full partnership between education, research, and service. OUR MISSION
