Training Neural Networks to Predict the Behaviour of Mechanical Joints
The following is an excerpt.
PhD candidate Victor André presented a novel approach to mechanical joint modelling at this year’s LS-DYNA conference.
PhD
Machine Learning for more Accurate Simulations
The following is an excerpt.
SFI CASA´s new PhD candidate Håvard Næss aims to make numerical simulations more accurate concerning plasticity and fracture. Without increasing the computational and calibration costs.
PhD Student Rannveig Færgestad has Embarked on her Space Mission
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Accurate and reliable modelling of debris exposure by hypervelocity is a challenging task. SFI CASA’s new doctoral student Rannveig Marie Færgestad will spend the following years working on models crucial to ensure safety and sustainability in space.
Aiming Towards Safer Design of Structures
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New PhD candidate: When the chance came, Øystein Eirik Kvist Jacobsen happily accepted the offer of a doctorate at CASA. Here is a brief presentation on what will keep him busy for the next few years.
A Bumpy Bike Ride and the Portevin-Le Chatelier Effect
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According to PhD candidate Jianbin Xu, a bumpy bike ride is comparable with understanding the Portevin-Le Chatelier effect in some metallic materials.
How do Protective Polymer Foams React to Extreme Loads?
The following is an excerpt.
They are ultralight, excellent energy absorbers, and they may save your life. This brilliant mix of properties explains why polymer foams play the leading role in Daniel Thor Morton’s doctoral dissertation.
A Polymer Guy with a Passion for Python
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Sindre Olufsen’s efforts to understand the deep interior of polymers can improve the safety of everything from cars to planes, and perhaps even heart valves.
Creates Virtual Versions of Adhesives
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The weakest adhesive John Fredrick Berntsen has studied in his doctoral dissertation is strong enough to lift a 1 500 kilos car with a bonded area of only 3×3 centimetres.
Better Tools to Predict Ductile Failure in Aluminium Alloys
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What happens inside a material before it breaks and fails? How do deformations and cracks occur, and how do they propagate?
The Hunt for the Accurate Point of Fracture
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Sondre Bergo loves equations. That passion helps him closer to the goal of predicting the exact moment when fractures occur in ductile metals.
Aims to Model the Violent and Unpredictable Behaviour of Glass
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Glass is brittle. When it breaks, it happens suddenly and unexpectedly. It is precisely this unpredictable and violent behaviour that attracts the interest of SFI CASA´s Jonas Rudshaug.
Towards a Deeper Understanding of Impact at Great Water Depths
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A lucky side effect of the polymeric coatings on steel pipelines is that they also work as bumpers at great water depths. PhD candidate Ole Vestrum has found a new way to model how they react when hit by mooring lines, falling anchors or fishing trawls.
Simulations Getting Closer To an Actual Vehicle Crash
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The body of a modern car is like a gigantic 3D Puzzle, with a multitude of different materials, parts and pieces. The joining of all those mixed parts is a crucial challenge in today´s design of car bodies.
Pioneering Research on Glass From Karoline Osnes
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Our craving for daylight has accelerated the use of glass in modern constructions. However, for those concerned about safety, our passion for the light comes with a dark side.
Spitting Gold to Strengthen Steels
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Christian Oen Paulsen went by way of gold to bring our understanding of steel one step further.
Bjørn H. Frodal Digs Deep for Damage and Failure
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New knowledge on how to predict the behaviour of elements impossible to see with the naked eye.
How to Link Knowledge and Commerce?
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Chronicle. CASA´s director Magnus Langseths raises some crucial questions in The Norwegian Business Daily.
