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Galerkin reduced order models for compressible flow with structural interaction

Galerkin reduced order models for compressible flow with str...

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作者： Barone, Matthew F. Segalman, Daniel J. Thornquist, Heidi Kalashnikova, Irina Sandia National Laboratories Albuquerque NM 87185 United States Sandia National Laboratories Institute for Computational and Mathematical Engineering Stanford University Stanford CA 94305 United States Aerosciences Dept. MS 0825 United States Stragic Initiatives Dept. MS 0557 United States Electrical and Microsystem Modeling Dept. MS 0316 United States

ISBN: (纸本)9781563479373

The Galerkin projection procedure for construction of reduced order models of compressible flow is examined as an alternative discretization of the governing differential equations. The numerical stability of Galerkin models is shown to depend on the choice of inner product for the projection. For the linearized Euler equations, a symmetry transform leads to a stable formulation for the inner product. Boundary conditions for compressible flow that preserve stability of the reduced order model are constructed. Coupling with a linearized structural dynamics model is made possible through the solid wall boundary condition. Preservation of stability for the discrete implementation of the Galerkin projection is made possible using piecewise-smooth finite element bases. Stability of the coupled fluid/structure system is examined for the case of uniform flow past a thin plate. Stability of the reduced order model for the fluid is demonstrated on several model problems, where a suitable approximation basis is generated using proper orthogonal decomposition of a transient computational fluid dynamics simulation.

关键词： Compressible flow

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Tracking nanostructural evolution in alloys: Large-scale analysis of atom probe tomography data on Blue Gene/L

Tracking nanostructural evolution in alloys: Large-scale ana...

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37th International Conference on Parallel Processing, ICPP 2008

作者： Seal, Sudip Moody, Michael Ceguerra, Anna Ringer, Simon Rajan, Krishna Aluru, Srinivas Modeling and Simulation Group Oak Ridge National Laboratory Oak Ridge TN 37831 United States Australian Key Center for Microscopy and Microanalysis Madsen Building F09 University of Sydney NSW 2006 Australia Dept. of Material Sciences and Engineering Iowa Suite University Ames IA 50011 United States Dept. of Electrical and Computer Engineering Iowa Suite University Ames IA 50011 United States

ISBN: (纸本)9780769533742

The advent of Local Electrode Atom Probe (LEAP) tomography is revolutionizing materials science by enabling near atomic scale imaging of materials. Analysis of threedimensional atom probe tomography (APT) data holds the promise of relating combinatorial arrangement of atoms to material properties and enable better design and synthesis of complex materials. Existing techniques, which are serial and require O(n2) work for n atoms, do not scale to the hundred million large data sets produced by current generation atom probe microscopes. In this paper, we present an O(n) work autocorrelation based technique that reveals clustering of constituent atoms and spatial associations between them. We present an efficient parallelization of this method and show scaling on a 1,024 node Blue Gene/L. To our knowledge, this is the first parallel algorithm for the analysis of APT data, and together with our linear work autocorrelation technique, is demonstrated to easily scale to billion atom data sets expected in the very near future. © 2008 IEEE.

关键词： Atoms

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Tracking Nanostructural Evolution in Alloys: Large-Scale Analysis of Atom Probe Tomography Data on Blue Gene/L

Tracking Nanostructural Evolution in Alloys: Large-Scale Ana...

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International Conference on Parallel Processing (ICPP)

作者： Sudip Seal Michael Moody Anna Ceguerra Simon Ringer Krishna Rajan Srinivas Aluru Modeling and Simulation Group Oak Ridge National Laboratory Oak Ridge TN U.S.A. The Australian Key Center for Microscopy and Microanalysis University of Sydney NSW Australia Dept. of Material Sciences and Engineering Iowa State University Ames IA U.S.A. Iowa State University Ames IA U.S.A.

ISBN: (纸本)9781424432134

The advent of Local Electrode Atom Probe (LEAP) tomography is revolutionizing materials science by enabling near atomic scale imaging of materials. Analysis of three-dimensional atom probe tomography (APT) data holds the promise of relating combinatorial arrangement of atoms to material properties and enable better design and synthesis of complex materials. Existing techniques, which are serial and require O(n 2 ) work for n atoms, do not scale to the hundred million large data sets produced by current generation atom probe microscopes. In this paper, we present an O(n) work autocorrelation based technique that reveals clustering of constituent atoms and spatial associations between them. We present an efficient parallelization of this method and show scaling on a 1,024 node Blue Gene/L. To our knowledge, this is the first parallel algorithm for the analysis of APT data, and together with our linear work autocorrelation technique, is demonstrated to easily scale to billion atom data sets expected in the very near future.

关键词： Correlation Program processors Materials Clustering algorithms Probes Arrays Runtime

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Enhanced high-speed digital interface between control systems and simulated facility models

Enhanced high-speed digital interface between control system...

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53rd International Instrumentation Symposium 2007

作者： Thelen, Michael Salita, Steve Halliburton, Greg Information Technology and Systems Dept. Arnold Engineering Development Center Modeling Simulation and Training Lab. Group Arnold AFB TN 37389 United States

ISBN: (纸本)9781604234466

The Arnold engineering Development Center (AEDC) utilizes modeling and simulation technologies in support of the development of large, distributed real-time control systems. These technologies are used to mitigate risk, reduce development cost, and avoid critical scheduling conflicts at AEDC's industrial facilities. The AEDC industrial facility to which a Programmable Logic Controller (PLC) controls system is to be deployed has a high degree of system complexity, a large number of critical controls, and high operational cost. This paper explains the distributed real-time simulation solution created for the PLC development effort. This involves a newly created (upgraded) interface between the industrial facility simulation (Matlab/Simulink) and the PLC control system. The benefits of the upgraded real-time solution include improved performance, cost, maintainability, and scalability. The ease with which models of AEDC's industrial facilities can be created has been greatly increased, and the sources of human error have been reduced. The simulation solution discussed in the paper involves the application of various COTS technologies in conjunction with the development of a new seamless, COTS-compatible software interface. This paper discusses the nature of the toolset being developed to support both current and future development efforts at AEDC. The toolset consists of both hardware and software components that can be configured to address a wide variety of simulation needs.

关键词： Application programs

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Biochemical mathematical modeling with Modelica and the BioChem library 6

Biochemical mathematical modeling with Modelica and the BioC...

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6th International Conference APLIMAT 2007

作者： Fritzson, Peter Ulfhielm, Erik Belic, Ales Fransson, Martin Grèen, Henrik PELAB - Programming Environment Lab. Dept. of Computer and Information Science Linköpings Universitet LinköpingSE-581 83 Sweden Laboratory for Modeling Simulation and Control Faculty of Electrical Engineering University of Ljubljana LjubljanaSI-1000 Slovenia Clinical Pharmacology Dept. of Medicine and Care Linköpings Universitet LinköpingSE-581 85 Sweden

ISBN: (纸本)9788096956265

Considering the large amounts of data that is nowadays produced in the biochemistry (functional genomics) it is difficult to extract the information from the measurements. There is currently also a great interest in the development of novel analytical technologies for rapid screening of disease symptoms in pharmaceutical and clinical applications. modeling and simulation can provide a useful help in understanding the relations of the measured substances and to minimize the need for measurements. The BioChem library presented here is the first free Modelica library available for mathematical modeling of biochemical processes. Three examples are shown to illustrate the library. First, a simple insulin model is presented. Then a simplified model of cholesterol together with simulations are shown. Next, a simple drug model together with parameter estimation in NONMEN are presented. The BioChem library allows for fast and end-user friendly modeling of biomedical systems. The graphical user interface provides graphics similar to that used in the description of metabolic pathways in biochemistry.

关键词： Cholesterol

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Solution adaptive mesh generation using feature-aligned embedded surface meshes

Solution adaptive mesh generation using feature-aligned embe...

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45th AIAA Aerospace Sciences Meeting 2007

作者： Shih, A. Ito, Y. Koomullil, R. Kasmai, T. Jankun-Kelly, M. Thompson, D. Brewer, W. University of Alabama at Birmingham Birmingham AL 35294 United States Mississippi State University Mississippi State MS 39762 United States Fluid Physics Int. Mississippi State MS 39762 United States Dept. of Mechanical Engineering United States AIAA United States Computational Simulation and Design Center Box 9627 United States Department of Aerospace Engineering Box A United States Box 1361

ISBN: (纸本)1563478900

In this paper, we present a technique for generating solution adaptive meshes that utilizes feature-aligned surfaces embedded in the computational domain. A feature detection algorithm is first employed to identify regions of the domain where features of interest are located. Surfaces associated with these features are then meshed and a volume mesh that respects these embedded surface meshes is then generated. This approach is promising because it provides a mechanism for controlling local grid quality as well as automatically aligning cell faces with the feature. For flows that include topologically and/or geometrically complex features, we describe a mesh refinement technique that can be used in tandem with the embedded surface meshes to provide a mechanism for refining throughout the computational domain. We include results from three cases to illustrate how the method works.

关键词： Mesh generation

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Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hybrid discrete event simulation with model predictive contr...

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simulation Winter Conference

作者： H.S. Sarjoughian Dongping Huang G.W. Godding Wenlin Wang D.E. Rivera K.G. Kempf H.D. Mittelmann Arizona Center for Integrative Modeling & Simulation Computer Science & Engineering Department Arizona State University Tempe AZ USA Control Systems Engineering Laboratory Chemical & Materials Engineering Department Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Mathematics & Statistic Dept. Arizona State University Tempe AZ USA

simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

关键词： Discrete event simulation Predictive models Predictive control Virtual manufacturing Semiconductor device manufacture Mathematical model Analytical models Manufacturing processes Optimal control Uncertainty

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Experimental modeling of vertical dynamics of vehicles with controlled suspensions

Experimental modeling of vertical dynamics of vehicles with ...

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2004 SAE World Congress

作者： Milanese, Mario Novara, Carlo Gabrielli, Paolo Tenneriello, Luigi Dipartimento de Automatica e Informatica Politecnico di Torino Italy FIAT Auto S.p.A. - Product and Process Engineering Vehicle Dynamics Active Chassis Control Italy Elasis S.C.p.A. - Fiat Group Control Systems Dept. Modeling Simulation and Control Strategies Vehicle Dynamics Italy

ISBN: (纸本)0768013194

In the paper, identification of vertical dynamics of vehicles with controlled suspensions is considered. Identification is performed from experimental data measured on a four-poster bench test of a segment C car, equipped with a CDC-Skyhook dampers control system. Vertical displacements at tires are imposed, related to different types of road profiles at different constant speeds and the following front and rear variables have been measured: chassis accelerations, wheels accelerations, chassis-wheel displacements, chassis-road displacements and control currents of the dampers. A nonlinear model in regression form is identified, having the road profile and damper control currents as inputs and chassis and wheels accelerations as outputs. The model is identified by means of a Set Membership structured identification method, which takes advantage of physical information on the structure of the system, decomposing the system in five subsystems: one represents the chassis and engine and the other ones represent the front and rear suspensions and wheels-tires. The overall high-dimensional identification problem is reduced to the identification of lower dimensional subsystems and to the estimation of their interactions and a recently proposed iterative scheme is used for its solution. A quite satisfactory overall model has been obtained, whose accuracy is documented by simulating the system with road profiles and damper control currents not used for the identification. Copyright © 2004 SAE International.

关键词： Chassis

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Independent modeling of fluorescence excitation and emission with the finite element method

Independent modeling of fluorescence excitation and emission...

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Biomedical Topical Meeting, BIOMED 2004

作者： Schulz, Ralf B. Peter, Jörg Semmler, Wolfhard Bangerth, Wolfgang Dept. Medical Physics in Radiology German Cancer Research Center Im Neuenheimer Feld 280 Heidelberg69120 Germany Center for Subsurface Modeling Institute for Computational Engineering and Sciences The University of Texas at Austin 201 East 24th Street ACE 5.324 AustinTX78712 United States

Based on the diffusion equation, a parallel FEM system is proposed, describing photon propagation and fluorescence emission using appropriate boundary conditions. Iterative reconstruction methods will benefit from the... 详细信息

ISBN: (纸本)1557527695

关键词： Finite element method

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Panel on future challenges in modeling methodology

Panel on future challenges in modeling methodology

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Proceedings of the 2004 Winter simulation Conference

作者： Taylor, Simon J. E. Paul, Ray J. Straßburger, Steffen Lendermann, Peter Reichenthal, Steven W. Turner, Stephen J. Ctr. for Applied Simulation Modeling Dept. of Info. Systems and Computing Brunel University Uxbridge Middx UB8 3PH United Kingdom Fraunhofer Inst. Fact. Oper. A. Department Virtual Development Sandtorstraße 22 39106 Magdeburg Germany Prod. and Logistics Planning Group Singapore Inst. of Mfg. Technology 71 Nanyang Drive Singapore 638075 Singapore Boeing 3370 Miraloma Ave. Anaheim CA 92803 United States Parallel and Distributed Comp. Ctr. School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore

This panel paper presents the views of six researchers and practitioners of simulation modeling, Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks;rapid model development and maintenance;legacy modeling approaches;markup languages;virtual interactive process design and simulation;standards;and Grid computing.

关键词： Information analysis

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