Master Thesis Project Evaluation of AI-based Surrogate Models for Structural CAE Analysis

Background

Artificial Intelligence is rapidly being introduced into engineering simulation workflows. One promising application is AI-based surrogate models that can predict simulation results significantly faster than traditional finite element analyses. This thesis aims to evaluate the applicability and potential efficiency gains of surrogate models in structural CAE analysis.

Objective

The study should investigate:

• Prediction accuracy compared to traditional FE simulations
• Required amount of training data
• Potential reduction in simulation turnaround time
• Applicability for implicit and explicit analyses

The final objective is to establish guidelines for when AI-based surrogate models should be used and when traditional FE simulations remain the preferred approach.

Methods

The study will use a finite element structure model as a case study. Surrogate models will be developed using data from both implicit and explicit analyses. The predictive accuracy computational efficiency and required engineering effort will be compared with conventional FE simulations.

Deliverables

A report containing:

  Evaluation of AI-based surrogate models for structural CAE

  Assessment of accuracy and potential time savings

  Evaluation of applicability for implicit and explicit analyses

  Guidelines and recommendations for industrial use

Qualifications :

Master Student at Applied Mechanics or equivalent program. Thesis project will be performed in Trollhättan. 

Additional Information :

In the department CAE & Vehicle Safety in Trollhättan you will be part of the team that performs strength durability and NVH analysis to develop the performance and attributes of vehicles and systems of the future. Our customers are both local and international.

We aim to find two students that can do this project together. Welcome with your application!

#AFRY Making Future

Contacts:

Annika Aleryd Service Area Manager

Robert Hansson Lead CAE Engineer

At AFRY we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate innovate technology and embrace challenging points of view. Thats how were making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future.

Remote Work :

No

Employment Type :

Intern