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Program :: Monday 9
Comandatuba 1 Comandatuba 2 Comandatuba 3 Auditório Transamérica Una Ilhéus São Paulo 3 São Paulo 2 São Paulo 1 Quito Santiago th Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Room 10 Room 11 8h30-9h15 Opening Ceremony 9h15-10h Plenary Thomas J.R. Hughes 10h-10h30 Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break 10h30-12h30 MS 094 MS 106 MS 099 MS 074 MS 142 MS 133 MS 001 MS 075 MS 085 MS 002 Satellite Symposium 12h30-13h30 Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch :: Lunch Brasília Semi-Plenary 1a Semi-Plenary 1b Semi-Plenary 2c Wing Semi-Plenary 1d 13h30-14h Pedro M. Reis Kumar Tamma Kam Liu Álvaro Coutinho Semi-Plenary 2a Semi-plenary 2b Semi-Plenary 2c Semi-Plenary 2d 14h-14h30 Eitan Grinspun Ramon Codina Djordje Peric Paulo Lyra 14h30-16h30 MS 094 MS 106 / MS 035 MS 099 MS 074 MS 142 MS 133 MS 001 MS 075 MS 085 MS 002 16h30-17h Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break :: Coffee Break 17h-19h MS 094 / MS 163 MS 132 MS 099 MS 171 MS 142 / MS 005 MS 116 MS 001 MS 075 MS 085 MS 002 Program :: Monday 9 Brasília 3 Brasília 2 Brasília 1 Buenos Aires Montevideo Room Room Room Room Room Room Room Room -
14Th U.S. National Congress on Computational Mechanics
14th U.S. National Congress on Computational Mechanics Montréal • July 17-20, 2017 Congress Program at a Glance Sunday, July 16 Monday, July 17 Tuesday, July 18 Wednesday, July 19 Thursday, July 20 Registration Registration Registration Registration Short Course 7:30 am - 5:30 pm 7:30 am - 5:30 pm 7:30 am - 5:30 pm 7:30 am - 11:30 am Registration 8:00 am - 9:30 am 8:30 am - 9:00 am OPENING PL: Tarek Zohdi PL: Andrew Stuart PL: Mark Ainsworth PL: Anthony Patera 9:00 am - 9.45 am Chair: J.T. Oden Chair: T. Hughes Chair: L. Demkowicz Chair: M. Paraschivoiu Short Courses 9:45 am - 10:15 am Coffee Break Coffee Break Coffee Break Coffee Break 9:00 am - 12:00 pm 10:15 am - 11:55 am Technical Session TS1 Technical Session TS4 Technical Session TS7 Technical Session TS10 Lunch Break 11:55 am - 1:30 pm Lunch Break Lunch Break Lunch Break CLOSING aSPL: Raúl Tempone aSPL: Ron Miller aSPL: Eldad Haber 1:30 pm - 2:15 pm bSPL: Marino Arroyo bSPL: Beth Wingate bSPL: Margot Gerritsen Short Courses 2:15 pm - 2:30 pm Break-out Break-out Break-out 1:00 pm - 4:00 pm 2:30 pm - 4:10 pm Technical Session TS2 Technical Session TS5 Technical Session TS8 4:10 pm - 4:40 pm Coffee Break Coffee Break Coffee Break Congress Registration 2:00 pm - 8:00 pm 4:40 pm - 6:20 pm Technical Session TS3 Poster Session TS6 Technical Session TS9 Reception Opening in 517BC Cocktail Coffee Breaks in 517A 7th floor Terrace Plenary Lectures (PL) in 517BC 7:00 pm - 7:30 pm Cocktail and Banquet 6:00 pm - 8:00 pm Semi-Plenary Lectures (SPL): Banquet in 517BC aSPL in 517D 7:30 pm - 9:30 pm Viewing of Fireworks bSPL in 516BC Fireworks and Closing Reception Poster Session in 517A 10:00 pm - 10:30 pm on 7th floor Terrace On behalf of Polytechnique Montréal, it is my pleasure to welcome, to Montreal, the 14th U.S. -
Analysis-Guided Improvements of the Material Point Method
ANALYSIS-GUIDED IMPROVEMENTS OF THE MATERIAL POINT METHOD by Michael Dietel Steffen A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computing School of Computing The University of Utah December 2009 Copyright c Michael Dietel Steffen 2009 ° All Rights Reserved THE UNIVERSITY OF UTAH GRADUATE SCHOOL SUPERVISORY COMMITTEE APPROVAL of a dissertation submitted by Michael Dietel Steffen This dissertation has been read by each member of the following supervisory committee and by majority vote has been found to be satisfactory. Chair: Robert M. Kirby Martin Berzins Christopher R. Johnson Steven G. Parker James E. Guilkey THE UNIVERSITY OF UTAH GRADUATE SCHOOL FINAL READING APPROVAL To the Graduate Council of the University of Utah: I have read the dissertation of Michael Dietel Steffen in its final form and have found that (1) its format, citations, and bibliographic style are consistent and acceptable; (2) its illustrative materials including figures, tables, and charts are in place; and (3) the final manuscript is satisfactory to the Supervisory Committee and is ready for submission to The Graduate School. Date Robert M. Kirby Chair, Supervisory Committee Approved for the Major Department Martin Berzins Chair/Dean Approved for the Graduate Council Charles A. Wight Dean of The Graduate School ABSTRACT The Material Point Method (MPM) has shown itself to be a powerful tool in the simulation of large deformation problems, especially those involving complex geometries and contact where typical finite element type methods frequently fail. While these large complex problems lead to some impressive simulations and so- lutions, there has been a lack of basic analysis characterizing the errors present in the method, even on the simplest of problems. -
(PFEM) for Solid Mechanics
Development and preliminary evaluation of the main features of the Particle Finite Element Method (PFEM) for solid mechanics Vasilis Papakrivopoulos Development and preliminary evaluation of the main features of the Particle Finite Element Method (PFEM) for solid mechanics by Vasilis Papakrivopoulos to obtain the degree of Master of Science at the Delft University of Technology, to be defended publicly on Monday December 10, 2018 at 2:00 PM. Student number: 4632567 Project duration: February 15, 2018 – December 10, 2018 Thesis committee: Dr. P.J.Vardon, TU Delft (chairman) Prof. dr. M.A. Hicks, TU Delft Dr. F.Pisanò, TU Delft J.L. Gonzalez Acosta, MSc, TU Delft (daily supervisor) An electronic version of this thesis is available at http://repository.tudelft.nl/. PREFACE This work concludes my academic career in the Technical University of Delft and marks the end of my stay in this beautiful town. During the two-year period of my master stud- ies I managed to obtain experiences and strengthen the theoretical background in the civil engineering field that was founded through my studies in the National Technical University of Athens. I was given the opportunity to come across various interesting and challenging topics, with this current project being the highlight of this course, and I was also able to slowly but steadily integrate into the Dutch society. In retrospect, I feel that I have made the right choice both personally and career-wise when I decided to move here and study in TU Delft. At this point, I would like to thank the graduation committee of my master thesis. -
Overview of Meshless Methods
Technical Article Overview of Meshless Methods Abstract— This article presents an overview of the main develop- ments of the mesh-free idea. A review of the main publications on the application of the meshless methods in Computational Electromagnetics is also given. I. INTRODUCTION Several meshless methods have been proposed over the last decade. Although these methods usually all bear the generic label “meshless”, not all are truly meshless. Some, such as those based on the Collocation Point technique, have no associated mesh but others, such as those based on the Galerkin method, actually do Fig. 1. EFG background cell structure. require an auxiliary mesh or cell structure. At the time of writing, the authors are not aware of any proposed formal classification of these techniques. This paper is therefore not concerned with any C. The Element-Free Galerkin (EFG) classification of these methods, instead its objective is to present In 1994 Belytschko and colleagues introduced the Element-Free an overview of the main developments of the mesh-free idea, Galerkin Method (EFG) [8], an extended version of Nayroles’s followed by a review of the main publications on the application method. The Element-Free Galerkin introduced a series of im- of meshless methods to Computational Electromagnetics. provements over the Diffuse Element Method formulation, such as II. MESHLESS METHODS -THE HISTORY • Proper determination of the approximation derivatives: A. The Smoothed Particle Hydrodynamics In DEM the derivatives of the approximation function The advent of the mesh free idea dates back from 1977, U h are obtained by considering the coefficients b of the with Monaghan and Gingold [1] and Lucy [2] developing a polynomial basis p as constants, such that Lagrangian method based on the Kernel Estimates method to h T model astrophysics problems. -
Scalable Large-Scale Fluid-Structure Interaction Solvers in the Uintah Framework Via Hybrid Task-Based Parallelism Algorithms
1 Scalable Large-scale Fluid-structure Interaction Solvers in the Uintah Framework via Hybrid Task-based Parallelism Algorithms Qingyu Meng, Martin Berzins UUSCI-2012-004 Scientific Computing and Imaging Institute University of Utah Salt Lake City, UT 84112 USA May 7, 2012 Abstract: Uintah is a software framework that provides an environment for solving fluid-structure interaction problems on structured adaptive grids on large-scale science and engineering problems involving the solution of partial differential equations. Uintah uses a combination of fluid-flow solvers and particle-based methods for solids, together with adaptive meshing and a novel asynchronous task-based approach with fully automated load balancing. When applying Uintah to fluid-structure interaction problems with mesh refinement, the combination of adaptive meshing and the move- ment of structures through space present a formidable challenge in terms of achieving scalability on large-scale parallel computers. With core counts per socket continuing to grow along with the prospect of less memory per core, adopting a model that uses MPI to communicate between nodes and a shared memory model on-node is one approach to achieve scalability at full machine capacity on current and emerging large-scale systems. For this approach to be successful, it is necessary to design data-structures that large numbers of cores can simultaneously access without contention. These data structures and algorithms must also be designed to avoid the overhead involved with locks and other synchronization primitives when running on large number of cores per node, as contention for acquiring locks quickly becomes untenable. This scalability challenge is addressed here for Uintah, by the development of new hybrid runtime and scheduling algorithms combined with novel lockfree data structures, making it possible for Uintah to achieve excellent scalability for a challenging fluid-structure problem with mesh refinement on as many as 260K cores. -
The Material-Point Method for Granular Materials
Comput. Methods Appl. Mech. Engrg. 187 (2000) 529±541 www.elsevier.com/locate/cma The material-point method for granular materials S.G. Bardenhagen a, J.U. Brackbill b,*, D. Sulsky c a ESA-EA, MS P946 Los Alamos National Laboratory, Los Alamos, NM 87545, USA b T-3, MS B216 Los Alamos National Laboratory, Los Alamos, NM 87545, USA c Department of Mathematics and Statistics, University of New Mexico, Albuquerqe, NM 87131, USA Abstract A model for granular materials is presented that describes both the internal deformation of each granule and the interactions between grains. The model, which is based on the FLIP-material point, particle-in-cell method, solves continuum constitutive models for each grain. Interactions between grains are calculated with a contact algorithm that forbids interpenetration, but allows separation and sliding and rolling with friction. The particle-in-cell method eliminates the need for a separate contact detection step. The use of a common rest frame in the contact model yields a linear scaling of the computational cost with the number of grains. The properties of the model are illustrated by numerical solutions of sliding and rolling contacts, and for granular materials by a shear calculation. The results of numerical calculations demonstrate that contacts are modeled accurately for smooth granules whose shape is resolved by the computation mesh. Ó 2000 Elsevier Science S.A. All rights reserved. 1. Introduction Granular materials are large conglomerations of discrete macroscopic particles, which may slide against one another but not penetrate [9]. Like a liquid, granular materials can ¯ow to assume the shape of the container. -
Computational Fluid and Solid Mechanics
COMPUTATIONAL FLUID AND SOLID MECHANICS Proceedings First MIT Conference on Computational Fluid and Solid Mechanics June 12-15,2001 Editor: K.J. Bathe Massachusetts Institute of Technology, Cambridge, MA, USA VOLUME 2 UNIVERSITATSBIBLIOTHEK HANNOVER TECHKUSCHE INFORMATIONSBIBLIOTHEK 2001 ELSEVIER Amsterdam - London - New York - Oxford - Paris - Shannon - Tokyo Contents Volume 2 Preface v Session Organizers vi Fellowship Awardees vii Sponsors ix Fluids Achdou, Y., Pironneau, O., Valentin, E, Comparison of wall laws for unsteady incompressible Navier-Stokes equations over rough interfaces 762 Allik, H., Dees, R.N., Oppe, T.C., Duffy, D., Dual-level parallelization of structural acoustics computations 764 Altai, W., Chu, V, K-e Model simulation by Lagrangian block method 767 Alves, M.A., Oliveira, P.J., Pinho, F.T., Numerical simulations of viscoelastic flow around sharp corners 772 Badeau,A., CelikJ., A droplet formation model for stratified liquid-liquid shear flows 776 Balage, S., Saghir, M.Z., Buoyancy and Marangoni convections of Te-doped GaSb 779 Bauer, A.C., Patra, A.K., Preconditioners for parallel adaptive hp FEM for incompressible flows 782 Berger, S.A., Stroud, J.S., Flow in sclerotic carotid arteries 786 Bouhairie, S., Chu, V.H., Gehr, R., Heat transfer calculations of high-Reynolds-number flows around a circular cylinder 791 Cabral, E.L.L., Sabundjian, G, Hierarchical expansion method in the solution of the Navier-Stokes equations for incompressible fluids in laminar two-dimensional flow 795 Chaidron, G., Chinesta, E, On the -
References (In Progress)
R References (in progress) R–1 Appendix R: REFERENCES (IN PROGRESS) TABLE OF CONTENTS Page §R.1 Foreword ...................... R–3 §R.2 Reference Database .................. R–3 R–2 §R.2 REFERENCE DATABASE §R.1. Foreword Collected references for most Chapters (except those in progress) for books Advanced Finite Element Methods; master-elective and doctoral level, abbrv. AFEM Advanced Variational Methods in Mechanics; master-elective and doctoral level, abbrv. AVMM Fluid Structure Interaction; doctoral level, abbrv. FSI Introduction to Aerospace Structures; junior undergraduate level, abbrv. IAST Matrix Finite Element Methods in Statics; senior-elective and master level, abbrv. MFEMS Matrix Finite Element Methods in Dynamics; senior-elective and master level, abbrv. MFEMD Introduction to Finite Element Methods; senior-elective and master level, abbrv. IFEM Nonlinear Finite Element Methods; master-elective and doctoral level, abbrv. NFEM Margin letters are to facilitate sort; will be removed on completion. Note 1: Many books listed below are out of print. The advent of the Internet has meant that it is easier to surf for used books across the world without moving from your desk. There is a fast search “metaengine” for comparing prices at URL http://www.addall.com: click on the “search for used books” link. Amazon.com has also a search engine, which is poorly organized, confusing and full of unnecessary hype, but does link to online reviews. [Since about 2008, old scanned books posted online on Google are an additional potential source; free of charge if the useful pages happen to be displayed. Such files cannot be downloaded or printed.] Note 2. -
And Smoothed Particle Hydrodynamics (SPH) Computational Techniques
A strategy to couple the material point method (MPM) and smoothed particle hydrodynamics (SPH) computational techniques The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Raymond, Samuel J., Bruce Jones, and John R. Williams. “A Strategy to Couple the Material Point Method (MPM) and Smoothed Particle Hydrodynamics (SPH) Computational Techniques.” Computational Particle Mechanics 5, no. 1 (December 10, 2016): 49– 58. As Published http://dx.doi.org/10.1007/s40571-016-0149-9 Publisher Springer International Publishing Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/116233 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ Computational Particle Mechanics manuscript No. (will be inserted by the editor) A strategy to couple the Material Point Method (MPM) and Smoothed Particle Hydrodynamics (SPH) computational techniques Samuel J. Raymond · Bruce Jones · John R. Williams Received: date / Accepted: date Abstract A strategy is introduced to allow coupling of the Material Point Method (MPM) and Smoothed Particle Hydrodynamics (SPH) for numerical simulations. This new strategy partitions the domain into SPH and MPM regions, particles carry all state variables and as such no special treatment is required for the transition between regions. The aim of this work is to derive and validate the coupling methodology between MPM and SPH. Such coupling allows for general boundary conditions to be used in an SPH simulation without further augmentation. Additionally, as SPH is a purely particle method and MPM is a combination of particles and a mesh, this coupling also permits a smooth transition from particle methods to mesh methods. -
A Technique to Combine Meshfree and Finite- Element
A Technique to Combine Meshfree- and Finite Element-Based Partition of Unity Approximations C. A. Duartea;∗, D. Q. Miglianob and E. B. Beckerb a Department of Civil and Environmental Eng. University of Illinois at Urbana-Champaign Newmark Laboratory, 205 North Mathews Avenue Urbana, Illinois 61801, USA ∗Corresponding author: [email protected] b ICES - Institute for Computational Engineering and Science The University of Texas at Austin, Austin, TX, 78712, USA Abstract A technique to couple finite element discretizations with any partition of unity based approximation is presented. Emphasis is given to the combination of finite element and meshfree shape functions like those from the hp cloud method. H and p type approximations of any polynomial degree can be built. The procedure is essentially the same in any dimension and can be used with any Lagrangian finite element dis- cretization. Another contribution of this paper is a procedure to built generalized finite element shape functions with any degree of regularity using the so-called R-functions. The technique can also be used in any dimension and for any type of element. Numer- ical experiments demonstrating the coupling technique and the use of the proposed generalized finite element shape functions are presented. Keywords: Meshfree methods; Generalized finite element method; Partition of unity method; Hp-cloud method; Adaptivity; P-method; P-enrichment; 1 Introduction One of the major difficulties encountered in the finite element analysis of tires, elastomeric bear- ings, seals, gaskets, vibration isolators and a variety of other of products made of rubbery mate- rials, is the excessive element distortion. Distortion of elements is inherent to Lagrangian formu- lations used to analyze this class of problems. -
AN16-LS16 Abstracts
AN16-LS16 Abstracts Abstracts are printed as submitted by the authors. Society for Industrial and Applied Mathematics 3600 Market Street, 6th Floor Philadelphia, PA 19104-2688 USA Telephone: +1-215-382-9800 Fax: +1-215-386-7999 Conference E-mail: [email protected] Conference web: www.siam.org/meetings/ Membership and Customer Service: 800-447-7426 (US & Canada) or +1-215-382-9800 (worldwide) 2 2016 SIAM Annual Meeting Table of Contents AN16 Annual Meeting Abstracts ................................................4 LS16 Life Sciences Abstracts ...................................................157 SIAM Presents Since 2008, SIAM has recorded many Invited Lectures, Prize Lectures, and selected Minisymposia from various conferences. These are available by visiting SIAM Presents (http://www.siam.org/meetings/presents.php). 2016 SIAM Annual Meeting 3 AN16 Abstracts 4 AN16 Abstracts SP1 University of Cambridge AWM-SIAM Sonia Kovalevsky Lecture - Bioflu- [email protected] ids of Reproduction: Oscillators, Viscoelastic Net- works and Sticky Situations JP1 From fertilization to birth, successful mammalian repro- Spatio-temporal Dynamics of Childhood Infectious duction relies on interactions of elastic structures with a Disease: Predictability and the Impact of Vaccina- fluid environment. Sperm flagella must move through cer- tion vical mucus to the uterus and into the oviduct, where fertil- ization occurs. In fact, some sperm may adhere to oviduc- Violent epidemics of childhood infections such as measles tal epithelia, and must change their pattern