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Papers (15 entries)
 
Advancing Analysis Capabilities In ANSYS Through Solver Technology
  Gene Poole, Yong-Cheng Liu, and Jan Mandel
  "This paper will describe implementation considerations for the addition of new solver technology to a large legacy code, compare resource requirements for the various solver choices and present some comparative results from several customer generated problems. The AMG solver benefits, both in improved robustness and parallel processing efficiency will be described. The paper will also discuss some of the implementation challenges that have been overcome to add new solver technology to a large existing code. The role of solver technology in meeting current and future demands of large scale commercial analysis codes will be discussed."
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Average Rating: 10.0 (8 votes)  
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Algebraic Multigrid By Smoothed Aggregation For Second And Fourth Order Elliptic Problems
  Petr Van Ek, Jan Mandel, and Marian Brezina
  "An algebraic multigrid algorithm for symmetric, positive definite linear systems is developed based on the concept of prolongation by smoothed aggregation. Coarse levels are generated automatically. We present a set of requirements motivated heuristically by a convergence theory. The algorithm then attempts to satisfy the requirements. Input to the method are the coefficient matrix and zero energy modes, which are determined from nodal coordinates and knowledge of the differential equation. Efficiency of the resulting algorithm is demonstrated by computational results on real world problems from solid elasticity, plate bending, and shells."
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Average Rating: 8.3 (3 votes)  
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An Efficient FETI Implementation on Distributed Shared Memory Machines with Independent Numbers of Subdomains and Processors
  Michel Lesoinne and Kendall Pierson
  "Until now, many implementations of the FETI method have been designed either as sequential codes on a single CPU, or as parallel implementations with a One Subdomain per Processor approach. This approach has been particularly typical of implementations on distributed memory architectures such as the IBM SP2. In the last couple of years, several computer manufacturers have introduced new machines with a Distributed Shared Memory (DSM) programming model {e.g. SGI Origin 2000, or HP Exemplar. In such architectures, the physical memory is distributed among the processors or CPU boards but any memory location can be accessed logically by any CPU independently of where the particular memory page being accessed has physically been allocated. As more and more machines of this type are available with a relatively small number of processors, the interest in implementing FETI with an independent number of subdomains and processor has increased. We report on such an implementation of FETI and highlight the benefits of this feature. We have found that medium size to large problems can be solved even on a sequential machine with time and memory requirements that are one to two order of magnitude better than a direct solver."
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Average Rating: 10.0 (2 votes)  
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An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
  Jonathan R. Shewchuk
  This paper presents a very well-written explanation of conjugate gradient methods. It is helpful in understanding better the idea behind CG solvers in ANSYS (PCG, JCG, ICCG, AMG, etc.).
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Average Rating: 10.0 (5 votes)  
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ANSYS Equation Solvers: Usage and Guidelines
  Gene Poole (ANSYS, Inc.)
  Discussion of ANSYS solvers, focusing on the sparse direct solver and PCG iterative solver.
Originally presented at the 2002 Conference.
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Average Rating: 10.0 (7 votes)  
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ANSYS PDS article in Machine Design [PDF]
  Stefan Reh
  While this may not be a conventional technical paper, it presents information on ANSYS PDS (Probabilistic Design System), a beta feature in 5.6 and officially released in 5.7. Instead of a deterministic approach, a stochastic method provides better product reliability measures.
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Average Rating: 3.3 (6 votes)  
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ANSYS PDS overview [PDF]
  Stefan Reh
  A three-page overview/summary sent on the XANSYS Mailing list on PDS, beta in ANSYS 5.6, officially released at 5.7.
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Average Rating: 7.5 (4 votes)  
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Benchmark Tests on ANSYS Parallel Processing Technology
  Kentaro Suzuki
  "ANSYS Inc. has released parallel processing solvers, DDS (Distributed Domain Solver) and AMG (Algebraic Multigrid Solver) in ANSYS version 5.7 in order to meet the requirements from the market."

"In this paper, simple tests are first carried out to confirm the features and capabilities of DDS and AMG for different types of analyses. Furthermore, real-life problems such as thermal stress of an engine block (7.3 million DOF) and elastic-plastic-creep behavior of an IC packaging (about 84,000 DOF) are analyzed. The effectiveness of ANSYS parallel processing solvers is also studied."
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Average Rating: 5.0 (6 votes)  
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Integrating ANSYS with Modern Numerical Optimization Technologies
  Shen-Yeh Chen
  "Design automation with finite element analysis as a simulation and evaluation tool is becoming more and more desired. The ability to do automatic design iteration has constantly been a popular research and engineering topic. In this article, we will show how Honeywell Engines & Systems took advantage of the flexible environment of ANSYS to achieve this goal." (Optimization, APDL)
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Average Rating: 8.7 (15 votes)  
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Local Approximation Estimators For Algebraic Multigrid
  Jan Mandel
  "We are concerned with the development of Algebraic Multigrid (AMG) for symmetric, positive definite linear systems arizing from finite element discretization of elliptic partial differential equations. AMG methods attempt to create coarse levels from the algebraic system automatically, using no or only a minimum of additional information. The basic idea of the multigrid algorithm is that fine level error on which the smoothing process is not effective should be reduced by the coarse correction. Therefore, a-priori estimates of the approximation of fine level functions by coarse level function are important to guide the design of robust AMG methods."
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Average Rating: 10.0 (2 votes)  
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Multi-Criteria Shape Optimization of a Funnel in Cathode Ray Tubes Using Response Surface Model
  Tae Hee Lee, Kwangki Lee, Kwang Soon Lee
  "The ultimate goal of simulation that represents the behaviour of structures is to optimize their response performances within the specific requirements and needs with respect to the design variables. The first step of the design of cathode ray tubes is to design the glass geometry, called funnel geometry, to endure the vacuum stress because it is a main structure of cathode ray tubes. In order to create 3-dimensional funnel geometry in the cathode ray tubes, higher order response surface model is used instead of NURBS (non-uniform rational B-splines) or Bezier curve because it is more robust for understanding the geometry change in finite element analysis. By combining finite element analysis, response surface model and sequential quadratic programming within the process integration framework, the shape optimization of a funnel is successfully performed and the maximum stress is reduced to almost half of the current one."
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Average Rating: 7.1 (7 votes)  
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Nonlinear Stress Analysis and Optimization of a Welded Plate Steel Pro/ENGINEER Assembly
  Andrew J. Bax, Chris Andersen, Shane Vander Kooi
  From 1996 Conference
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Average Rating: 8.4 (37 votes)  
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Optimizing Linux Clusters for ANSYS 11
  Joshua Bernstein and Arend Dittmer (Penguin Computing)
  Introduction from paper:
"In many organizations design engineers perform FEA (Finite Element Analysis) based simulations on personal desktop systems. Even though increasing hardware performance has enabled the solution of complex problems on desktop systems, this approach has limitations. Interactive design work on the desktop is interrupted by compute intensive simulation runs, negatively affecting productivity. Moreover this approach requires high-powered desktop systems that are not shared with other users and therefore only fully utilized for relatively short periods of time. An approach, where simple simulations are run on desktop systems and more complex problems are solved on shared 'back-end' compute systems is more efficient. Due to their excellent price/performance ratio, Linux based clusters of commodity systems have become the dominating platform for these 'back-end' computations. While Linux-based clusters are a cost effective way to address the always increasing demand for compute cycles, the concept of achieving high performance through interconnected systems introduces performance and manageability challenges. This paper introduces how the choice of a cluster architecture and the selection of hardware components can impact cluster manageability and ANSYS application performance."
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Shaping Optimization of Turbine Disk and Bearing Seal
  Shen-Yeh Chen
  Example of use of in-house optimization code with ANSYS to produce optimization of structures without parametric geometric information.
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Average Rating: 9.6 (13 votes)  
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Topology Optimization in ANSYS
  Brian King (IMPACT Engineering Solutions, Inc.)
  Presentation from Midwest ANSYS User Group on Topological Optimization capability in ANSYS and Workbench Simulation.
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Average Rating: 5.0 (4 votes)  
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