Welcome and Introduction

Optimization & Robustness: Challenges of Multidisciplinary Design Optimization

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

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

Including NVH Requirements in MDOs: Challenges and Strategies

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

Kube KAB3L – HV-Cables as an Interdisciplinary Modeling Approach

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

Material Modeling - Focus Structural Analysis: Advanced Modelling of Material Damage and Failure

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

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

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

Advanced Modelling of Material Damage and Failure using OpenRadioss and Radioss

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

The Material Calibration Process for IGA Discretized Structures in Crashworthiness

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

CAE Process & QA: Automated CAE Model Quality Checks for Certification Readiness

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

Causality Analysis: Checking where it really matters

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

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

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

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

Durability / Fatigue: Fatigue Simulation HV-batteries (Vibration Fatigue)

Validation Challenges of High Voltage Battery Systems for Heavy Duty Trucks

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

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

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

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

Why Frequencies Matter: Efficient Vibration Fatigue Analysis of Automotive Components

Full Vehicle Simulation: Virtual Verification and Certification

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

New generation of crash-tolerant structure - FLEXCRASH

Driving Simulators as a Cornerstone of Virtual Validation

Virtual NCAP Integration in Full Vehicle Simulation Workflows

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

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

Occupant Safety: Meta Models for Occupant Injury Prediction

Software Environment for ML - Meta Models supporting Occupant Safety Simulation

Predicting Occupant Injury Risk from Time‑History Meta‑Models

Predictive and Generative Artificial Intelligence Empowering Occupant Safety and Injury Prediction

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

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

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

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

AI, ML, Big Data: How can AI Actually Help Designing a Vehicle?

Industrial Requirements AI Supported Vehicle Design

AI-based Change Description and Results Exploration for Vehicle Development

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

Agentic AI for DtM: Automated Formability and Stamping Analysis

Integrating Generative AI into CAE Workflows with Simulation Data Management

Machine Learning Supported Crashworthiness Designs

Autonomous Vehicle Design: Context, Intelligence, Action

Summary and Farewell