Showing papers in "Computing Systems in Engineering in 1994"

TL;DR: In this article, a topology and shape optimization method for structural eigenfrequency optimization problems using the concept of Optimal Material Distribution (OMD) is presented, which can be used to deal with a wide range of practical design problems for improving the dynamic nature of a structure.

TL;DR: The authors present a set of algorithms that allow the entire unstructured mesh computation process to execute in parallel -- including adaptive mesh refinement, equation reordering, mesh partitioning, and sparse linear system solution.

TL;DR: In this paper, the authors present a technique for coupling shell element models to three-dimensional continuum finite element models by degenerating a continuum element through kinematic constraints compatible with shell deformations.

TL;DR: In this article, an assumed multivariate β probability density function for species is investigated for use in modeling the interaction of species fluctuations and chemical combustion, and the results of the parametric study indicate that species fluctuations can increase or decrease the magnitude of the species production term, depending on the type of reaction.

TL;DR: The development of an automatic mesh generation technique designed to effectively operate on multiple instruction, multiple data (MIMD) parallel computers is discussed.

TL;DR: In this paper, a method is proposed to maximize the critical load under certain constraints, e.g. for a given volume, allowing varying shape as well as cross-sections.

TL;DR: Numerical results are presented for the optimal design of a laminated composite beam to maximize its capacity to absorb mechanical energy without fracture and it is shown that super linear speedup can be achieved by using the injection algorithm.

TL;DR: An elegant computational implementation is presented which succeeds in reducing both computing storage and factorization time and demonstrates the superiority of the proposed preconditioners over other types of preconditionsing matrices, particularly for ill-conditioned problems.

TL;DR: Two parallelization schemes for the optimization problem of a composite laminate via a genetic algorithm are proposed and compared and results are presented showing the computation time as a function of the number of processors.

TL;DR: This structural reanalysis procedure, together with a vastly improved and parallelized version of the integral global optimization (IGO) stochastic algorithm, IIGO, forms the present MPP structural design methodology.

TL;DR: The different steps of such an implementation of the finite element method on MIMD (Multiple Instructions Multiple Data) multiprocessor machines with shared or distributed memory, as well as the performance obtained on a CRAY Y-MP.

TL;DR: The performance of overall algorithms for BEA on vector supercomputers, massively data parallel single instruction multiple data (SIMD), and relatively fine grained distributed memory multiple instruction multipleData (MIMD) computer systems is described.

TL;DR: This work presents a methodology based on the use of adaptive mesh refinement techniques in the context of shape optimization problems analyzed by the Finite Element Method (FEM), giving an “a priori knowledge” of the error distribution on the new design.

TL;DR: In this article, the authors demonstrate the use of automatic differentiation in solving finite element problems with random geometry in the area of biomechanics, where the shape and size of the domain is often known only approximately, and automatic differentiation can be used to compute the shape sensitivites accurately and effortlessly.

TL;DR: Three issues, intensive computation, convergence of the iterative process, and analytically superior optimum, encountered during the implementation of substructure optimization into CometBoards have been solved.

TL;DR: A methodology for implementing non-linear finite element analysis on a homogeneous distributed processing network is discussed and results for two large-scale finite element meshes are presented.

TL;DR: An extension to structural analysis with multiple load cases, and to the solution of systems with repeated right hand sides is presented, which prompts the design of an efficient parallel coarse grid solver which transcends the numerical scalability of the FETI method into a massively parallel scalability.

TL;DR: The numerical studies presented demonstrate the advantages of nested dissection-based solvers over traditional skyline-basedsolvers on distributed-memory machines.

TL;DR: The development of the spectral element method for dynamic plate problems is summarized and the implementation of the algorithm on MasPar MP-1 and MP-2 computers with 16 384 processors each exhibits near perfect scalability.

TL;DR: Numerical results (including solving an aircraft structure) on the Intel iPSC/860 parallel-vector computer are presented to demonstrate the efficiency and accuracy of the proposed equation solver.

TL;DR: Several versions of the direct linear equation solver PVSOLVE were implemented in the general purpose, nonlinear finite element code NIKE3D, showing the distributed memory implementation to be most efficient for large problems, where MEIKO performance is comparable to that of a single CRAY processor.

TL;DR: In this article, the authors used an implicit block solver of the ADI type for the transport equations, and the low Mach number limit has been taken for the calculation of the pressure field.

TL;DR: In this paper, a hybrid strategy for designing a character-recognition system is proposed that contains embedded coupled numerical and symbolic processing units and identified raw data and stored model's knowledge sources.

TL;DR: Partially Stirred Reactor (PSR) as mentioned in this paper is a stochastic model for the Navier-Stokes plus combustion chemistry equations, which is based on the joint PDF of velocity and composition.

TL;DR: In this article, a two-dimensional, Eulerian finite element formulation for modeling isotropic, elasto-viscoplastic, steady-state deformations which is capable of predicting residual stresses is presented.

TL;DR: A preliminary performance and scalability analysis of a distributed state estimator for power systems when run on a massively parallel machine with a 2D mesh interconnection topology and derives an accurate performance model, mainly for the communication overhead, and examines the efficiency of the architecture.

TL;DR: A scalable parallel feedback algorithm for adaptive finite element modeling of large scale structures is presented, based on an iterative scheme derived from the domain decomposition technique for applications to problems of solid mechanics.

TL;DR: In this article, a variational formulation of time-independent supercontivity for a Ginzburg-Landau superconductor was developed for the general three-dimensional case and specialized to one-dimensional cases.

TL;DR: The conjugate gradient algorithm are used for the solution of the system of the equations and the performance of a PVM master/slave visco-elastic finite element program is evaluated on the CM-5.

TL;DR: The development and application of reliable, creative and efficient computational tools for the structural optimisation of variable thickness axisymmetric and prismatic shells and folded plates using computer-aided analysis and design procedure is dealt with.