Industrial finite element analysis: Evolution and current challenges. Keynote presentation at NAFEMS World Congress Crete, Greece June 16-19, 2009

Similar documents
Second Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering

Full Vehicle Dynamic Analysis using Automated Component Modal Synthesis. Peter Schartz, Parallel Project Manager ClusterWorld Conference June 2003

Femap Version

NX Response Simulation: Structural dynamic response

Optimization to Reduce Automobile Cabin Noise

Simcenter 3D Engineering Desktop

Engineers can be significantly more productive when ANSYS Mechanical runs on CPUs with a high core count. Executive Summary

Squeak & Rattle Simulation A New Approach to Support the Complete Development Process of Interior Parts

Femap automatic meshing simplifies virtual testing of even the toughest assignments

SAToolkit for Nastran (SATK)

Speedup Altair RADIOSS Solvers Using NVIDIA GPU

6 Implementation of Parallel FE Systems

Simcenter 3D Structures

SIMULATION CAPABILITIES IN CREO. Enhance Your Product Design with Simulation & Analysis

LMS Virtual.Lab Noise and Vibration

MSC Software: Release Overview - MSC Nastran MSC Nastran 2014 RELEASE OVERVIEW

Solving Large Complex Problems. Efficient and Smart Solutions for Large Models

SIMULATION CAPABILITIES IN CREO

ANSYS HPC. Technology Leadership. Barbara Hutchings ANSYS, Inc. September 20, 2011

Eric Henry Simulation Technical Sales - NE

NX Advanced Simulation

NX Advanced FEM. Benefits

KEYWORDS Non-parametric optimization, Parametric Optimization, Design of Experiments, Response Surface Modelling, Multidisciplinary Optimization

Leveraging Integrated Concurrent Engineering for vehicle dynamics simulation. Manuel CHENE MSC.Software France

HPC and IT Issues Session Agenda. Deployment of Simulation (Trends and Issues Impacting IT) Mapping HPC to Performance (Scaling, Technology Advances)

Impact of STAR-CCM+ v7.0 in the Automotive Industry Frederick J. Ross, CD-adapco Director, Ground Transportation

NX Advanced Simulation: FE modeling and simulation

ANSYS HPC Technology Leadership

Predicting and simulating noise Integrated vibro- and aero- acoustic approach

LMS Virtual.Lab The Unified Environment for Functional Performance Engineering

Fundamentals of Modeling with Simcenter 3D Robin Boeykens

Reckoning With The Limits Of FEM Analysis

Appendix P. Multi-Physics Simulation Technology in NX. Christian Ruel (Maya Htt, Canada)

NOISE PROPAGATION FROM VIBRATING STRUCTURES

EPILYSIS. The new FEA solver

INNOVATIVE CFD FOR SUPER-COMPUTER RESULTS ON YOUR DESKTOP

ANSA-TGrid: A Common Platform for Automotive CFD Preprocessing. Xingshi Wang, PhD, ANSYS Inc. Mohammad Peyman Davoudabadi, PhD, ANSYS Inc.

midas NFX An insight into midas NFX

CODE Product Solutions

Design Optimization of a Weather Radar Antenna using Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD)

Modal and Stress Analysis of X71A Sport Motorcycle Framebody Virtual Testing Model based on Finite Element Analysis

Modeling Bolted Connections. Marilyn Tomlin CAE COE / Siemens Corporation

NX Nastran Basic. The core structural analysis FEA solver used by leading product development firms for over 40 years

imaginit.com/simulation Complete and robust mechanical simulation solution

Fatigue of Welds in fe-safe. fe-safe 2017

Complete and robust mechanical simulation solution. imaginit.com/simulation-mechanical

COSMOS. Vehicle Suspension Analysis ---- SolidWorks Corporation. Introduction 1. Role of vehicle suspension 2. Motion analysis 2

Simcenter 3D Acoustics Simulation Based Noise Reduction of Electric Machines Hermann Höfer 13. Nov. 2018

Practical Examples of Efficient Design Optimisation by Coupling VR&D GENESIS and LS-DYNA

System Level Cooling, Fatigue, and Durability. Co-Simulation. Stuart A. Walker, Ph.D.

SOLIDWORKS Simulation

QLogic TrueScale InfiniBand and Teraflop Simulations

SOLIDWORKS SIMULATION

Simcenter 3D Engineering Desktop

Acoustic computation of a grommet in a small cabin using finite element analysis

New Technologies in CST STUDIO SUITE CST COMPUTER SIMULATION TECHNOLOGY

Enhancing Analysis-Based Design with Quad-Core Intel Xeon Processor-Based Workstations

Sizing Optimization for Industrial Applications

Coupled Finite Element Method Based Vibroacoustic Analysis of Orion Spacecraft

The Role of Finite Element Analysis in Light Aircraft Design and Certification

Femap Thermal & Flow V11

Stan Posey, CAE Industry Development NVIDIA, Santa Clara, CA, USA

GPU COMPUTING WITH MSC NASTRAN 2013

About the Author. Acknowledgements

Advanced Computation in the design and development of aircraft engines. Serge Eury SNECMA

Element Order: Element order refers to the interpolation of an element s nodal results to the interior of the element. This determines how results can

Abaqus/CAE: Geometry Import and Meshing. Abaqus 2018

Recent Approaches of CAD / CAE Product Development. Tools, Innovations, Collaborative Engineering.

Engineering Tool Development

midas NFX 2017R1 Release Note

LMS Virtual.Lab Boundary Elements Acoustics

Introduction to CAD/CAM/CAE

Finite element method - tutorial no. 1

NX Advanced FEM. fact sheet

Static And Modal Analysis Of Rotating Wheel Rim Using Ansys

siemens.com/plm/nxcae NX CAE Advanced simulation solutions to drive smarter product decisions Answers for industry.

FINITE ELEMENT ANALYSIS OF A COMPOSITE CATAMARAN

FEA and Topology Optimization of an Engine Mounting Bracket

ARMY VEHICLE DURABILITY OPTIMIZATION & RELIABILITY

Large-scale Gas Turbine Simulations on GPU clusters

Creo Simulate 3.0 Tutorial

NEi FEA. IRONCAD Advanced FEA. IRONCAD Advanced FEA. NEi FEA

Engineering Analysis

The new HyperMesh - Samcef interface.

Tube stamping simulation for the crossmember of rear suspension system

TAU mesh deformation. Thomas Gerhold

Time-Domain Dynamic Analysis of Helical Gears with Reduced Housing Model

World-class finite element analysis (FEA) solution for the Windows desktop

Introduction to Actran for Acoustics Radiation Analysis

Modal Analysis of Exhaust System to Optimize Mounting Hanger Location

Simcenter 3D What s New in Mark Donley: Simcenter Structures Product Manager

Modelling of Torsion Beam Rear Suspension by Using Multibody Method

Automotive Thermal Management for Full Vehicles

Benchmark of Topology Optimization Methods for Crashworthiness Design

Week 12 - Lecture Mechanical Event Simulation. ME Introduction to CAD/CAE Tools

Introduction to ANSYS Mechanical

LS-DYNA s Linear Solver Development Phase 2: Linear Solution Sequence

IJREAS VOLUME 6, ISSUE 4 (April, 2016) (ISSN ) International Journal of Research in Engineering and Applied Sciences (IMPACT FACTOR 6.

Finite Element Analysis Using Creo Simulate 4.0

Real Application Performance and Beyond

Transcription:

Industrial finite element analysis: Evolution and current challenges Keynote presentation at NAFEMS World Congress Crete, Greece June 16-19, 2009 Dr. Chief Numerical Analyst Office of Architecture and Technology Siemens PLM, California, USA 1 NAFEMS-2009, Greece

Topics Evolution of technology Evolution of technology Design embedded analysis Life-cycle simulation Computational environment Future directions 2 NAFEMS-2009, Greece

The mid 1970s Structural integrity Evolution of technology Stick models 5,752 node points 2,108 finite elements (bars, beams, springs) 28,924 degrees of freedom 4 eigenvectors 2,679 CPU seconds 1.1 hours elapsed time 1 million words of memory 36 million words of disk space Mainframe computers 3 NAFEMS-2009, Greece

The mid 1980s Dynamic response Evolution of technology Car frames ~50,000 node points ~60,000 finite elements (shells, solids) ~264,000 degrees of freedom 50 eigenvectors 2,505 CPU seconds 0.9 hours elapsed time 60 Mwords of memory 173 Mwords of disk space Supercomputers 4 NAFEMS-2009, Greece

The mid 1990s Optimization of products Evolution of technology Full car body models ~ 270,000 node points ~ 275,000 elements (spot-welds, constraints) ~1.6 million degrees of freedom ~1,000 eigenvectors 4,936 CPU seconds 221 GBytes of I/O 1.7 hours elapsed time 128 MWords of memory 65 GBytes of disk used Workstation servers 5 NAFEMS-2009, Greece

The mid 2000 s Simulation of product behavior Evolution of technology Trimmed body models ~7 million node points ~7.2 million elements (connection elements) ~35 million degrees of freedom ~10,000 eigenvectors ~100,000 CPU seconds ~11.5 Tera-bytes of I/O ~680 minutes of elapsed time ~16 GB memory used ~630 Giga-bytes of disk used Personal computers 6 NAFEMS-2009, Greece

Topic Evolution of technology Design embedded analysis Design embedded analysis Life-cycle simulation Computational environment Future directions 7 NAFEMS-2009, Greece

Design embedded analysis process Program Approval CAD Freeze Prototype Build Design freeze Production Build Conceptual Design Detail Design Design Testing Design embedded analysis Analysis Geometry changes Optimization Geometry Design changes Simulation Analysis Impacts Design Validation Analysis Fewer physical prototypes -> Cheaper Easier decision making -> Faster More reliable product -> Better 8 NAFEMS-2009, Greece

Finite element assemblies Design embedded analysis Geometric models of components from different sources Meshing of component models executed separately Connection of finite element mesh assemblies needed 9 NAFEMS-2009, Greece

Mesh connection technology Assure displacement and stress continuity across connection Design embedded analysis Apply connection technology in dynamic analyses Dissimilar (different type and size) mesh connections 10 NAFEMS-2009, Greece

Mesh connection technology challenges Non-coincident face connection Non-parallel face connection Design embedded analysis Edge-to-edge connections Edge to surface connections 11 NAFEMS-2009, Greece

Dissimilar mesh connection case study Design embedded analysis 12 NAFEMS-2009, Greece

Topic Evolution of technology Life-cycle simulation Design embedded analysis Life-cycle simulation Computational environment Future directions 13 NAFEMS-2009, Greece

Life-cycle simulations Production phase Material manufacturing Assembly process Life-cycle simulation Operational phase Operational scenarios User comfort optimization Recycling phase Disassembly process Material recycling 14 NAFEMS-2009, Greece

Operational scenarios Life-cycle simulation Rough road vibration Tire patch inputs Driver seat acceleration Wheel unbalance Wheel hub force inputs Steering wheel vibration 15 NAFEMS-2009, Greece

Optimization of user comfort Structural acoustics Life-cycle simulation Automotive vehicle interior noise due to road load excitation, engine noise of wind shear Airplane cabin interior acoustics due engine noise Aero launch systems acoustics Air-conditioning system noise 16 NAFEMS-2009, Greece

Acoustic coupling interface challenges Normal tolerance =.75 Structure Face (Green) Life-cycle simulation Normal tolerance =.25 Y X Fluid Face (Grey) Structure Face (Red) Z Fluid face X Structure faces 17 NAFEMS-2009, Greece

Acoustic analysis case study Life-cycle simulation Full vehicle model ~ 1,400,000 fluid free faces ~ 2,000,000 structural faces ~ 2,500,000 structural grids Compute response to 300 Hz Coupled results agree well with measured benchmark results Benchmark NORML =.75 NORML =.5 NORML =.25 18 NAFEMS-2009, Greece

Topic Evolution of technology Computational environment Design embedded analysis Life-cycle simulation Computational environment Future directions 19 NAFEMS-2009, Greece

Computational environment challenge Computational environment Distributed processor clusters 4 Workstation Servers 4 Processors per server 1.5 GHz processors 16 GB Memory 1 Giga-bit Ethernet Adapter 2 Ultra3 SCSI disks (internal) 2 Ultra3 SCSI controllers for external disks 16x Ultra3 SCSI disks 36.4 GB per controller Total external capacity: 2x580 GB = 1.1 TB 20 NAFEMS-2009, Greece

Computational problem challenge The constrained stiffness matrix of an analysis problem Computational environment Number of rows: 35,734,709 Nonzero terms: 1,384,305,995 Nonzero terms in sparse factor matrix: 43,827,004,000 Memory used during factorization: 1,080,732,000 (4 byte) words Actual elapsed time of sparse factorization on a high performance workstation: 335 minutes 21 NAFEMS-2009, Greece

Finite element model distribution as answer Multilevel graph partitioning: coarsen, partition, refine 9 6 3 9 6 3 9 6 6 3 9 6 9 6 Computational environment 4 1 2 7 8 4 8 4 2 2 8 1 7 5 1 7 7 5 5 7 4 2 4 2 1 7 4 2 3 6 1 2 4 5 22 NAFEMS-2009, Greece

Distributed normal modes analysis case study Computational environment Car engine model ~1,400,000 node points ~790,000 finite elements ~ 4.2 million degrees of freedom 256 components, ~1000 modes 6000 5000 4000 3000 2000 1000 Elapsed time in minutes Total Eigen 64 node Linux cluster 1.85 GHz CPUs 200 GB local disk space per node 4 GB memory per node Gigabit interconnect with MPI 60 50 40 30 20 10 Elapsed speedup Total Eigen 0 0 1 2 4 8 16 32 64 0 0 1 2 4 8 16 32 64 23 NAFEMS-2009, Greece

Distributed transient response calculation case study Computational environment Car body road excitation ~1,096,000 node points ~ 1,000,000 finite elements ~ 6.5 million degrees of freedom ~200 responses 1.20E-08 1.00E-08 8.00E-09 6.00E-09 4.00E-09 Clock min I/O GB 4,728:18 23,839 894:22 7,570 392:47 2,786 Global Lanczos method 256 components, 5. scale 128 components, 2. scale 2.00E-09 0.00E+00 0 20 40 60 80 100 120 140 160 180 200 24 NAFEMS-2009, Greece

Topic Evolution of technology Design embedded analysis Future directions Life-cycle simulation Computational environment Future directions 25 NAFEMS-2009, Greece

Future directions Computational technology will use mixed precision and hybrid solutions on multi and many-core CPU clusters and will utilize graphical processing units (GPUs) Future directions Design embedded analysis will continue to increase the geometric model complexity and will result in the advancement of geometry based mesh-free analysis approaches The increased fidelity of life-cycle simulations will require stochastic analysis techniques considering manufacturing tolerances and load variations leading to robust designs The future is integrated multi-disciplinary analysis in the industry 26 NAFEMS-2009, Greece

Mesh-free Kantorovich technique Boundary value problem: Distance function: Physical field: Future directions u Ω u( u( x, y ) ( x, y ) Ω = 0 = x, y ) = f ( x, y ) ( x, y ) Ω ;u f ( x, y Ω = 0 ) ω( x, y > 0,( x, y ) Ω ) = 0;( x, y ) Ω Φ ( Ac x, y = F ) m = c j =1 j b j Complete solution: u( x, y ) = ω( x, y ) Φ( x, y ) 27 NAFEMS-2009, Greece

Stochastic analysis technique Deterministic optimization: Probabilistic optimization: 2,60E+09 2,60E+09 2,40E+09 h 2,40E+09 h 2,20E+09 2,20E+09 2,00E+09 1,80E+09 1,60E+09 2,00E+09 1,80E+09 σ 1 1,60E+09 σ 2 Stress Maximum [N/m^2] Stress Maximum [N/m^2] 1,40E+09 1,40E+09 1,20E+09 Deterministic Optimum 1,20E+09 Probabilistic Optimum 1,00E+09 1,00E+09 0,2 0,225 0,25 0,275 0,3 0,325 0,35 0,375 0,4 0,425 0,45 0,475 0,5 0,525 0,55 0,575 0,6 0,625 0,65 0,2 0,225 0,25 0,275 0,3 0,325 0,35 0,375 0,4 0,425 0,45 0,475 0,5 0,525 0,55 0,575 0,6 0,625 0,65 Beam Height [m] Beam Height [m] h opt, deterministic < h opt, probabilistic σ 1 > σ 2, 28 NAFEMS-2009, Greece Future directions

Integrated multi-disciplinary analysis YY- Stress PSD RMS=19.7 MPa Future directions Thermal Fluid flow Motion and Controls Fatigue Structural All analysis capabilities in one system Result correlation Stochastic analysis Heat Flow 29Radiation Response Simulation Electronic Cooling Electro-magnetism NAFEMS-2009, Greece Laminate Composites Space LouisSystems Komzsik

Thank you for your attention! www.siemens.com www.siemens.com/plm www.siemens.com/plm/nxnastran Siemens and the Siemens logo are registered trademarks of Siemens AG. NX is a registered trademark of Siemens PLM Software Inc. in the United States and in other countries. NASTRAN is a registered trademark of the National Aeronautics and Space Administration. 30 NAFEMS-2009, Greece