Modeling and Simulations of Fluid-Structure Interactions (FSI)

Slides:

Advertisements

Similar presentations

Practical Course SC & V Free Boundary Value Problems Prof. Dr. Hans-Joachim Bungartz Institut für Informatik Schwerpunkt Wissenschaftliches Rechnen.

Advertisements

Institut für Informatik Scientific Computing in Computer Science Practical Course SC & V Time Discretisation Dr. Miriam Mehl.

Fast Adaptive Hybrid Mesh Generation Based on Quad-tree Decomposition

Parallel Jacobi Algorithm Steven Dong Applied Mathematics.

Direct Forcing Immersed Boundary (DFIB) Method for Mixed Heat Transfer

FEMLAB Conference Stockholm 2005 UNIVERSITY OF CATANIA Department of Industrial and Mechanical Engineering Authors : M. ALECCI, G. CAMMARATA, G. PETRONE.

Henry Neeman, 2 Dimitrios V. Papavassiliou 1 1 School of Chemical Engineering and Materials Science 2 School of Computer Science The University of Oklahoma.

Parallel Computation of the 2D Laminar Axisymmetric Coflow Nonpremixed Flames Qingan Andy Zhang PhD Candidate Department of Mechanical and Industrial Engineering.

Numerical Parallel Algorithms for Large-Scale Nanoelectronics Simulations using NESSIE Eric Polizzi, Ahmed Sameh Department of Computer Sciences, Purdue.

Evan Greer, Mentor: Dr. Marcelo Kobayashi, HARP REU Program August 2, 2012 Contact: globalwindgroup.com.

Micro/Nanoscale Thermal Science Laboratory Department of Mechanical Engineering URL: Large-scale Atomistic Modeling of.

Multilevel Incomplete Factorizations for Non-Linear FE problems in Geomechanics DMMMSA – University of Padova Department of Mathematical Methods and Models.

Hybrid Simulation of Ion-Cyclotron Turbulence Induced by Artificial Plasma Cloud in the Magnetosphere W. Scales, J. Wang, C. Chang Center for Space Science.

Computational Mechanics & Numerical Mathematics University of Groningen Multi-scale modeling of the carotid artery G. Rozema, A.E.P. Veldman, N.M. Maurits.

Hole Dynamics in Polymer Langmuir Films Lu Zou +, James C. Alexander *, Andrew J. Bernoff &, J. Adin Mann, Jr. #, Elizabeth K. Mann + + Department of Physics,

WEEK-2: Governing equation of SDOF systems

A Multigrid Solver for Boundary Value Problems Using Programmable Graphics Hardware Nolan Goodnight Cliff Woolley Gregory Lewin David Luebke Greg Humphreys.

© IFP Energies nouvelles Renewable energies | Eco-friendly production | Innovative transport | Eco-efficient processes | Sustainable resources Time.

Iterative and direct linear solvers in fully implicit magnetic reconnection simulations with inexact Newton methods Xuefei (Rebecca) Yuan 1, Xiaoye S.

Are their more appropriate domain-specific performance metrics for science and engineering HPC applications available then the canonical “percent of peak”

High Performance Computational Fluid-Thermal Sciences & Engineering Lab GenIDLEST Co-Design Virginia Tech 1 AFOSR-BRI Workshop December Amit Amritkar,

Numerical simulation of the Fluid-Structure Interaction in stented aneurysms M.-A. FERNÁNDEZ, J.-F. GERBEAU, J. MURA INRIA / REO Team Paris-Rocquencourt.

STE 6239 Simulering Friday, Week 1: 5. Scientific computing: basic solvers.

1 SIMULATION OF VIBROACOUSTIC PROBLEM USING COUPLED FE / FE FORMULATION AND MODAL ANALYSIS Ahlem ALIA presented by Nicolas AQUELET Laboratoire de Mécanique.

O AK R IDGE N ATIONAL L ABORATORY U.S. D EPARTMENT OF E NERGY 1 Parallel Solution of the 3-D Laplace Equation Using a Symmetric-Galerkin Boundary Integral.

Coupling Heterogeneous Models with Non-matching Meshes by Localized Lagrange Multipliers Modeling for Matching Meshes with Existing Staggered Methods and.

ParCFD Parallel computation of pollutant dispersion in industrial sites Julien Montagnier Marc Buffat David Guibert.

Technology for People Vienna University of Technology September 8th, 2014 Welcome 8 th International Workshop on the CKM Unitarity Triangle (CKM2014) Univ.Prof.

CFD Lab - Department of Engineering - University of Liverpool Ken Badcock & Mark Woodgate Department of Engineering University of Liverpool Liverpool L69.

1 Real-Time Hybrid Simulations P. Benson Shing University of California, San Diego.

MSc Thesis presentation – Thijs Bosma – December 4th 2013

FSI for Assessing Nerve Injury During Whiplash Motion

High Performance Computational Fluid-Thermal Sciences & Engineering Lab GenIDLEST Co-Design Virginia Tech AFOSR-BRI Workshop July 20-21, 2014 Keyur Joshi,

Simulating complex surface flow by Smoothed Particle Hydrodynamics & Moving Particle Semi-implicit methods Benlong Wang Kai Gong Hua Liu

Case Study in Computational Science & Engineering - Lecture 5 1 Iterative Solution of Linear Systems Jacobi Method while not converged do { }

Material Point Method Solution Procedure Wednesday, 10/9/2002 Map from particles to grid Interpolate from grid to particles Constitutive model Boundary.

© Fox, Pritchard, & McDonald Introduction to Fluid Mechanics Chapter 5 Introduction to Differential Analysis of Fluid Motion.

Molecular Dynamics Simulations and the Importance of

Tokyo 2015 A Workshop on CFD in Ship Hydrodynamics URANS Simulation of Surface Combatant using CFDShip-Iowa V.4 S. Bhushan and F. Stern IIHR-Hydroscience.

Gaussian Elimination and Back Substitution Aleksandra Cerović 0328/2010 1/41/4Gaussian Elimination And Back Substitution.

Computational Science and Purdue: Ananth Grama Director, Computational Science and Engineering Professor of Computer Science. Anita Park.

Multipole-Based Preconditioners for Sparse Linear Systems. Ananth Grama Purdue University. Supported by the National Science Foundation.

M. Khalili1, M. Larsson2, B. Müller1

Solving linear systems in fluid dynamics P. Aaron Lott Applied Mathematics and Scientific Computation Program University of Maryland.

Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation,

TEMPLATE DESIGN © H. Che 2, E. D’Azevedo 1, M. Sekachev 3, K. Wong 3 1 Oak Ridge National Laboratory, 2 Chinese University.

Why are. we not solving more struct tures? James Holton University of California San Francisco and Advanced Light Source Lawrence.

Computer Science and Engineering Parallelizing Feature Mining Using FREERIDE Leonid Glimcher P. 1 ipdps’04 Scaling and Parallelizing a Scientific Feature.

Department of Mathematical Sciences. Applied Mathematics –Computational Enginee Research – F. Tanner –Simulation of Food Sprays – F. Tanner –Multiphase.

Prof. Nenad Filipovic, PhD Center for Bioengineering, Faculty of Engineering University of Kragujevac, Kragujevac, Serbia Expertise in: Computer modeling.

Hui Liu University of Calgary

Xing Cai University of Oslo

I. E. Venetis1, N. Nikoloutsakos1, E. Gallopoulos1, John Ekaterinaris2

Xiaomin Pang, Yanyan Chen, Xiaotao Wang, Wei Dai, Ercang Luo

A computational loop k k Integration Newton Iteration

Scientific Computing Lab

Modeling of solids segregation in circulating fluidized bed boilers

Parallel Linear Solver Using Hierarchical Matrix

Meros: Software for Block Preconditioning the Navier-Stokes Equations

Environmental Hydrology Visualization

Analytical Solutions for Temperature

Scientific Computing Lab

GENERAL VIEW OF KRATOS MULTIPHYSICS

Supported by the National Science Foundation.

Practical Course SC & V Discretization II AVS Dr. Miriam Mehl

A Domain Decomposition Parallel Implementation of an Elasto-viscoplasticCoupled elasto-plastic Fast Fourier Transform Micromechanical Solver with Spectral.

Huawei Wang Human Motion & Control Lab Mechanical Engineering

Three-Dimensional Fragmentation of Core-Annular Flow

Ph.D. Thesis Numerical Solution of PDEs and Their Object-oriented Parallel Implementations Xing Cai October 26, 1998.

A computational loop k k Integration Newton Iteration

Presentation transcript:

Modeling and Simulations of Fluid-Structure Interactions (FSI) FSI Community in Dr. Jinchao Xu’s Group (in alphabetic order): Gong, Shihua (PhD Stud, PKU) Yang, Kai (Postdoc, Stanford) Leng, Wei (Res Asst, CAS) Xu, Jinchao (Prof, PSU) Sun, Pengtao (Assoc Prof, UNLV) Zhang, Chensong (Res Assoc, CAS) Wang, Lu (Postdoc, LLNL) Zhang, Lixiang (Prof, KMUST)

FSI Modeling ALE mapping: Fluid motion: Structure motion: Interface conditions: ALE mapping:

Monolithic FSI Simulation Rotational linear elasticity equation (Yang, Sun, Wang, Xu & Zhang 2016) : where, R is the rotational matrix. Monolithic weak form of fluid-rotating structure interactions:

Monolithic FSI Solver Key contributions (Xu & Yang 2015): Well-posedness of discretized linear systems Optimal block preconditioners Block lower triangular preconditioners: Fluid & structure velocity block Fluid pressure mass matrix Fluid pressure block

Fluid-Rotating Structure Interactions Key contributions (Yang, Sun, Wang, Xu & Zhang 2016): Linearized elasticity in rotated configuration A new ALE method designed for rotating structure Rotating fluid buffer zone Locally shifting boundary nodes of buffer zone & stationary fluid domain

FSI Applications Example 1: 3D simulation of a propeller/turbine (Sun, Wang & Yang 2014)

FSI Applications Example 2: Artificial heart pump (Sun & Leng 2015)

FSI Applications Example 3: Cardiovascular aorta, aneurism & stent (Gong & Wang 2014-16)

Parallel computing of FSI Parallel rotating partition: Parallel heart pump FSI:

Parallel computing of FSI Parallel solver Monolithic approach: Newton-Krylov method with overlapping ASM preconditioner (X. Cai et al 2010-14) Blockwise preconditioner (A. Quarteroni et al 2011-14) Multiplicative preconditioner: blockwise preconditioner X ASM Parallel computing setup on TianHe2 # Verts: 1.2M; # Elems: 6.9M; # DOFs: 8.7M 4000 cores Time step size: 5x 10e-5 Parallel computing time Each time step (Newton’s iterations, fixed-point iterations) costs about 20s Entire simulation costs about 1 day to reach t=0.1

Acknowledgement P. Sun, L. Wang, J. Xu, K. Yang & Zhang were supported by Yunnan Provincial Science and Technology Department Research Award: Interdisciplinary Research in Computational Mathematics and Mechanics with Applications in Energy Engineering. J. Xu, L. Wang, and K. Yang were supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research as part of the Collaboratory on Mathematics for Mesoscopic Modelingof Materials (Contract No. DE-SC0009249 and DE-SC0014400). J. Xu, L. Wang, and K. Yang were supported by National Natural Science Foundation of China (NSFC) (Grant No. 91430215). P. Sun was supported by NSF Grant DMS-1418806. L. Zhang was supported by the NSFC (Grant No. 51279071) and the Doctoral Foundation of the Ministry of Education of China (Grant No.20135314130002).