CAE Grand Challenge 2026 - ON DEMAND

automotive CAE Grand Challenge 2026

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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

 

Presentations

Combining traditional MDO methods with parametric and surrogate models speeds up optimisation processes, while considering the impact of manufacturing

Dr.-Ing. Hendrik Schafstall - Detroit Engineered Products

Practical Advances in Multidisciplinary Optimization: Reducing Computational Effort and Improving Solution Quality

Dr.-Ing. Jana Hahlweg - Dr. Ing. h. c. F. Porsche AG

Including NVH Requirements in MDOs: Challenges and Strategies

Dr. André Backes - TECOSIM GmbH

From Structure to Flow: A Multidisciplinary and Optimization Driven Workflow Redefining What’s Possible for Cast Components and Runner Systems

Sanjay Girish, Thomas Spoida - Bionic Mesh Design GmbH

Kube KAB3L – HV-Cables as an Interdisciplinary Modeling Approach

Vitali Gerbershagen, Cedric Guarino - Kube GmbH Ingenieurbüro

AI-powered Engineering: Applying Graph Databases to get a wide context for Multidisciplinary Design Optimization

Christopher Woll - GNS Systems GmbH; Lars Eilers - GNS mbH

Material simulation: What’s missing? The Volkswagen brand perspective

Dr.-Ing. Tony Porsch - Volkswagen AG

User-Defined Plasticity and Fracture Model for Mesh-Adapted Automotive Structural Analysis

Dr.-Ing. Chongyang Zeng, Prof. Dr.-Ing. Xiangfan Fang - University of Siegen

Hardware Validation of a Micromechanics-Based Stress State Dependent Failure Model for Ductile Steel and Aluminium Materials in ABAQUS, LS-DYNA and PAM-CRASH

Dr.-Ing. Sirus Rafiee - Waldaschaff Automotive GmbH

Advanced Modelling of Material Damage and Failure using OpenRadioss and Radioss

Marian Bulla - Siemens - Digital Industries; Prof. Dr.-Ing. habil. Stefan Kolling - TH Mittelhessen University of Applied Sciences; Paul Du Bois - Hermes Engineering NV

Interactions between Loading Path and Plastic Flow in Ductile Damage and Failure Modeling

Daniel Muñoz Valentin, Alberto Regidor, Javier Ferrer Revenga, Borja Garcia - newgentechs

The Material Calibration Process for IGA Discretized Structures in Crashworthiness

Stefan Wacker - DYNAmore, part of Synopsys et al.

Experimental Calibration and Validation of Radioss Adhesive Laws for Automotive Structural Adhesives

Dr. Daniel Campos Murcia - Applus+ DatapointLabs; Brian Croop - DatapointLabs

CAE process for Head Impact simulation and improved structural design in HMI systems

Sebastian Schulze - AUO Mobility Solutions Germany GmbH

Causality Analysis: Checking where it really matters

Dr. Andreas Kuhn - Andata Entwicklungstechnologie GmbH et al.

Detecting Unknown and Unwanted Crash Behaviors: A Database-Driven Approach to Simulation Quality Assurance

Dr. Stefan Müller - SIDACT GmbH et al.

Achieving Model Quality and Certification Readiness with the Oasys LS-DYNA Environment

Dr. Galal Mohamed, Shuang Gao - Oasys LS-DYNA Environment

Customizable Model Quality Checks for Crash-Simulations with LS-DYNA

Max Hübner - DYNAmore, part of Synopsys

The ANSA Checks Machine: A User Focused Framework for Multi Disciplinary/Solver Model Integrity

Livia Emmanouela Baksiova - BETA CAE Systems S.A.

Validation Challenges of High Voltage Battery Systems for Heavy Duty Trucks

Fabian Röcker, Björn Boschert - Daimler Truck AG

Advanced Mechanical Simulation of Sheet Molding Compounds: Accounting for Process-Induced Fiber Orientation

Dr. Hannes Grimm-Strele - Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM

Improving HV Battery Structural Robustness: Coupling Operational Loads with Swelling-Induced Stresses

Lucas Crombet, Dr. Simon Erker - AVL List GmbH

Enhanced Simulation of Battery Durability by Improved Loads Prediction using Smart Virtual Sensing

Dr. rer. nat. Michael Hack, Xiaoting Kou, Safak Has - Siemens Industry Software GmbH

Durability of Battery Housings and Body Structures Considering Vibrations and Multiple Joint Characteristics

Helmut Dannbauer - Engineering Center Steyr GmbH & Co KG

Why Frequencies Matter: Efficient Vibration Fatigue Analysis of Automotive Components

Niels Kuhn - CADFEM Germany GmbH

Requirements for CAE model and Process for Virtual Testing based Vehicle Safety Assessment

Dr.-Ing. Andre Eggers - BASt - German Federal Highway and Transport Research Institute

New generation of crash-tolerant structure - FLEXCRASH

Christian Kurzböck - VIRTUAL VEHICLE Research GmbH

Driving Simulators as a Cornerstone of Virtual Validation

Gabriele Ferrarotti - VI-grade - HBK

Virtual NCAP Integration in Full Vehicle Simulation Workflows

Dr.-Ing. Sami Bilgic Istoc - IPG Automotive GmbH

Thoughts on Virtual Homologation of Crashworthiness: A Software Vendor’s View

Prof. Dr.-Ing. André Haufe - DYNAmore, part of Synopsys

Animator4-based Virtual Testing and Assessment tool for comprehensive NCAP Safety evaluation

Suba Siva Chandran Kalimuthu - GNS mbH

Software Environment for ML - Meta Models supporting Occupant Safety Simulation

Dr. Lars Aschenbrenner, Michael Otto - Volkswagen AG

Predicting Occupant Injury Risk from Time‑History Meta‑Models

Patrick Obernosterer - Technische Universität Graz

Predictive and Generative Artificial Intelligence Empowering Occupant Safety and Injury Prediction

Prof. Dr. Francisco Chinesta - Arts et Métiers Institute of Technology - ENSAM

Chasing Safer Outcomes: Exploring Metamodel Capabilities for Occupant Injury Prediction in Crash Analysis

Ionut Mihnea, Dana Ioana Rat - ARRK Research & Development S.R.L.

Virtual Reconstruction of Physical Crash Tests Using a Software Platform for Meta-Modeling and Design Optimization

Dr. Nicholas White - Elemance, LLC et al.

Unifying Physical Test and Simulation Data: ASAM‑ODS Pipelines for AI‑Driven Occupant Injury Prediction

Stefan Romainczyk - Peak Solution GmbH

Interpretable Modal‑Space‑Based Surrogate Models for Occupant Injury Prediction

Dr. Masahiro Okamura - JSOL Corporation

Industrial Requirements AI Supported Vehicle Design

Thorsten Pohl - Stellantis; Dr.-Ing. Dirk Rensink - SEGULA Technologies Services

AI-based Change Description and Results Exploration for Vehicle Development

Dr. Daniela Steffes-lai, Prof. Dr. Jochen Garcke, Dr. Victor Rodrigo Iza Teran - Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI

AI meets CAE - How Structures can be Optimized in Automated Ways

Lennart Jansen - FEV Vehicle GmbH; Kotaro Tanimichi - Nature Architects, Inc.

Agentic AI for DtM: Automated Formability and Stamping Analysis

Tilman Steininger - Synera GmbH

Integrating Generative AI into CAE Workflows with Simulation Data Management

Marko Thiele - SCALE GmbH et al.

Machine Learning Supported Crashworthiness Designs

Dominik Borsotto - SIDACT GmbH et al.

Autonomous Vehicle Design: Context, Intelligence, Action

Dr.-Ing. Moritz Frenzel - Altair Engineering GmbH

 

 

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