automotive CAE Grand Challenge 2020

automotive CAE Grand Challenge 2020

Hanau, Germany, September 2020
46 presentations, pdf download

Background, Concept and Implementation

In the last 30 years computer simulation has become an indispensable tool of automotive development. 

Challenges in virtual vehicle development

Despite of significant progress in simulation technology and impressive results in industrial application there remains a number of challenges.

The Grand Challenge as a platform for dialog

The automotive CAE Grand Challenge stimulates the exchange between users, scientists and software developers in order to solve these challenges



Variation and Scatter in Numerical Experimentation
Georg Eichmüller
Volkswagen AG

Strain-rate Dependent Distribution Functions for Stochastic Fracture Simulation of Glass and Transparent Polymers
Stefan Kolling, Christian Alter, Marcel Berlinger, Christopher Brokmann
Institute of Mechanics and Materials, THM, Giessen / Germany

Modelling Of Material Uncertainties In Long Fiber Reinforced Composites
Jörg Hohe, Carla Beckmann
Fraunhofer Institute for Mechanics of Materials IWM, Freiburg

Polymorphic uncertainties for early / late development phases
Fabian Duddeck, Marco Daub
Technische Universität München (TUM)

handling material scatter – case studies
plastics and composites under dynamic loading
P. Reithofer, H. Pothukuchi, St. Riemelmoser
4a engineering GmbH

Influence of Material Scatter to Simulation Results with ALTAIR RADIOSS
Marian Bulla
ALTAIR Engineering

How Robust Solver and Modelling Techniques Can Help to Analyse
Physical Scatter & Variabilities
Peter Ullrich , Thorsten Queckbörner , André Berger
ESI Germany

Industrial CAE Challenge: Use of Human Body Models in Autonomous Vehicle Safety
Saeed Barbat, Ph.D., FSAE, FASME, NAE
Ford Motor Company, USA

Human body models for passenger safety in autonomous vehicles
F. Germanetti, D. Fiumarella, G. Belingardi, A. Scattina
Politecnico di Torino – Department of Mechanical and Aerospace Engineering

VIVA+ Open Human Body Models for Virtual Testing
Jobin John, Johan Iraeus, Mats Svensson, Chalmers University, Sweden
Corina Klug, TU Graz, Austria
Astrid Linder, VTI, Sweden

Analysis of Reclined and Rotated Seating for AV Safety using ATD and HBMs in Frontal Impact Configurations
Rudolf Reichert and Steve Kan
George Mason University

Efficient pre-simulation method for human body model with Odyssee
N. Ichinose, M. Takeda, N. Taki, T. Yoshimachi
JSOL Corporation

Application of GHBMC Models to Address the Technical Challenges of Autonomous Vehicle Safety System Development
Matthew Davis, James Gaewsky, Scott Gayzik, Joel Stitzel
Elemance, LLC

Use of New Crash Test Dummy (Models) for Autonomous Vehicle Safety
Ismail Maatouki, Christian Kleessen, Humanetics Europe GmbH
Zaifei Zhou, Dr. Jerry Wang, Humanetics Innovative Solutions, Inc.

Application of Reduced Order Modeling in Crashworthiness and Restraint System Optimization
Tsuyoshi Yasuki
Toyota Motor Corporation

Automatic Model Reduction Techniques for the Acceleration of Car Crash Simulations
Jörg Fehr, DarkoMilakovic, Dennis Grunert, Jonas Kneifl
University of Stuttgart

Activities for Speed up the Optimization Processes in Car Body Design
Jana Büttner (Dr. Ing . h.c.), F. Porsche AG
Axel Schumacher, University of Wuppertal

Reduced Order Modeling for Correlation Analysis of Crash Structures
Stefan Mertler, Lennart Jansen, SIDACT GmbH
Axel Schumacher, University of Wuppertal

Automatic Submodel based Multi Level Optimization of Crash Structures
Leyre Benito Cia, Claudius Schöne, GNS Gesellschaft für Numerische Simulation mbH , Braunschweig
Sven Wielens, Dr. Ing. Axel Schumacher, University of Wuppertal. Chair for Optimization of Mechanical Structures

Using Reduced Order Models for Real time Optimization
Kambiz Kayvantash

Accuracy of acoustic simulations
Dipl-Ing. Lars Eilers
gns Gesellschaft für Numerische Simulationen gmbH

Noise source simulation for the holistic investigation of shock absorber knocking noise
Thomas Böttcher M.Sc.; Univ.-Prof. Dr.-Ing. Lutz Eckstein
Institute for Automotive Engineering (ika), RWTH Aachen University
Dr.-Ing. Georg Ungemach; Dr.-Ing. Thomas Kersten; Dr.-Ing. Jan-Rickmer Schlegel
Volkswagen AG

Increasing accuracy in NVH – Changes in Materials, Modelling and Methods
Willem van Hal, Dr. Oliver Goy
ESI Group

Realistic Acoustic Simulations of Automotive Audio Systems to Implement a Digital Twin
A. J. Svobodnik, T. Nizzoli, R. Haddad and R. Weiser
Mvoid Group

Improved Prediction of the Vibration Behavior of Short-Fiber Reinforced Engine Brackets as a Basis for NVH Simulation
Dr. Wolfgang Korte, PART Engineering, Dr. Kristin Raschke
Daimler AG

Interior Comfort Challenges – Solutions for improved Acoustics in Combination with Weight Reduction
Eberhard Erb
Free Field Technologies, part of Hexagon

Accuracy and Effort of Acoustic Simulations in Automotive Engineering
Dr. Ing. Sören Keuchel, Andreas Klut, Henning Lohmann, Dr Ing . Olgierd Zaleski
Novicos GmbH

Modeling Wheels for Small Overlap Crash Simulation - Industrial Requirements
Dr.-Ing. Axel Hänschke
CPS-Consulting, Brühl, Germany

Modeling Strategies for Rims Under Small Overlap Crash Conditions
Christian Kurzböck
Virtual Vehicle Research GmbH

Modeling of a car wheel and numerical investigations for crash application
Yann Leost, Pascal Collins, Thomas Haase, Jörg Mermagen, Malte Kurfiß
Fraunhofer EMI

Efficient Modelling of Detailed Components for Small Overlap Using New Approaches
Jean Christophe ALLAIN
ESI Group

Heuristic Approach of Modelling Wheels for Crash Applications with Altair HyperWorks
Marian Bulla
ALTAIR Engineering

Aspects of spatial discretization and constitutive modeling of aluminum wheels under compressive loadings
Dr. Filipe Andrade, Prof. André Haufe, DYNAmore GmbH
Dr. Markus Feucht, Mercedes Benz AG

Fatigue Assessments of Welded Structures in Vehicle Developments
Matthias Weinert, Lorand Kalotai, Philipp Römelt
Ford Motor Company, USA

Fatigue assessment of welded thin sheets – new and reliable numerical approaches
Dr.-Ing. Jörg Baumgartner
Fraunhofer Institute for Structural Durability and System Reliability

New developments for improved fatigue prediction of welded joints
Dr. Michael Hack
Siemens AG

Modern Fatigue Life Prediction of Welded Joints - Modelling, Definition and Assessment
Klaus Hofwimmer
Magna Powertrain ECS Steyr GmbH & Co. KG

Using Machine Learning to Simplify the Analysis of Simulation Results
Prof. Dr. Jochen Garcke, Sara Hahner, Dr. Rodrigo Iza-Teran, Anahita Pakiman, Mandar Pathare, Dr. Daniela Steffes-lai
Fraunhofer SCAI, Fraunhofer Center for Machine Learning

Prediction of Simulation Results with Integration of SDMZIP in SCALE SDM Solutions
Armin Gärttner, Marko Thiele, AkhilPillai, SCALE GmbH
Stefan Mertler, SIDACT GmbH

An open platform for ML/AI driven simulation data analysis
Claudius Schöne, Bernd Römer
GNS - Gesellschaft für Numerische Simulation mbH, Braunschweig

Artificial Intelligence in Automotive CAE – with Practical Examples
Cornelia Thieme, Monika Szot, Petr Sperka
MSC Software

Automated Evaluation in Simulation Data Management with Artificial Intelligence Based on Uniform Data Formats
Andreas Kuhn, Niklas Stalanich

Metamodel of Optimal Prognosis - A Framework for Machine Learning and Artificial Intelligence applied in CAE
Dr. Roland Niemeier, Dr.-Ing. Johannes Will, Dr.-Ing. habil. Thomas Most
Dynardo GmbH, an Ansys Company

Machine Learning for CAE Simulations [Predicting the jobs waiting time on a HPC cluster]
Mahmood Rajput (Data Scientist)
GNS Systems GmbH

ODYSSEE: Artificial Intelligence in Convenient User Interface
Cornelia Thieme
MSC Software

EUR 150,00*



* Alle Preise exkl. gesetzlicher Mehrwertsteuer, ggf. zzgl. Versandkosten.