Avoiding a complete failure - Martin Fagerström IMS promotion lecture for Professor

​Welcome to listen to Martin Fagerström's promotion lecture "Avoiding a complete failure".


Martin Fagerström, Associate Professor at Material and Computational Mechanics IMS, lecture for Professor (bitr professor in Swedish) in Computational Fracture Mechanics.

Martin is Associate Professor in Solid Mechanics. He conducts research on the computational modelling of damage and fracture of lightweight materials, with emphasis on fibre reinforced polymers. The range of application of Martin Fagerström’s research is wide, incorporating everything from crashworthiness to sports and health.

Martin Fagerström is also Co-director of Health Engineering Area of Advance, and also the coordinator of Chalmers initiative in Sports Engineering, Chalmers Sports & Technology.






Abstract

Avoiding a complete failure
Increasing expectations, stronger requirements and tougher regulations from both end-users and governments are currently pushing the industry to constantly increase their efficiency in developing new, sustainable products and innovative solutions. The increasing demands for a more efficient product development and for novel products with less environmental impact thereby calls for an ever-increasing need of simulation tools that are able to accurately and efficiently predict product performance. At the same time, new research findings in terms of predictive models and improved numerical procedures are continuously opening new opportunities for simulation-assisted developments in application areas where the capability of simulations has been less utilised. 
In this talk, we will particularly discuss material models and numerical methods developed to describe when and how a component or structure is deforming and eventually failing to fulfil its intended function. ‘Failure’ can be defined in many ways, but common to most cases is that the models required to describe the failure are required to capture a rather complex chain of events, while at the same time being computationally efficient. Several examples of projects will be described, which all have been trying to find the delicate balance between predictability/accuracy and computationally efficiency. The discussion will mainly be centered around the needs of the automotive industry, but we will also make outlooks to interesting remaining challenges and opportunities within e.g. aeronautics and health applications.
Hopefully, after the talk it will also be clear that the safest way to avoid failure (in research) is to be open to collaborate with local, national and international colleagues with complementary – but essential! – competencies, ideas and energy!


​Link​ to the lecture
Password: 723361
Category Public lecture
Location: Online
Starts: 18 October, 2021, 13:00
Ends: 18 October, 2021, 14:30

Page manager Published: Fri 08 Oct 2021.