Essays about: "damage parameter"
Showing result 1 - 5 of 60 essays containing the words damage parameter.
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1. Exploring patterns in risk factors for bark beetle attack during outbreaks triggered by drought stress with harvester data on attacked trees: A case study in Southeastern Sweden
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : ABSTRACT Raising temperatures and climate variability have intensified extreme weather events worldwide. These extremes can enhance and trigger possible pest outbreaks. Bark beetle attacks have become a major concern in regions with extensive spruce forest areas. Southeastern Sweden has faced repeated outbreaks resulting in widespread tree loss. READ MORE
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2. Fracture simulation with a hyperelastic phase field model
University essay from KTH/HållfasthetsläraAbstract : The phase field method is a versatile tool to study crack initiation and propagation in systems with complex geometries. Based on a variational formulation of the equilibrium equations, the sharp crack topology is regularized by a crack with diffusive edges and the damage is described by a continuous phase field variable. READ MORE
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3. Thermal Modelling of Permanent Magnet Synchronous Motor Windings in Heavy-Duty Electric Vehicles
University essay from Linköpings universitet/FordonssystemAbstract : A significant challenge with permanent magnet synchronous motors (PMSMs) is thermal management. Thermal stress can lead to irreversible damage to components, and to enable efficient cooling, a thermal model is needed. READ MORE
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4. Optimization of b-value Acquisition and Parameter Estimation of Intravoxel Incoherent Motion Measurements
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Radiotherapy is commonly used for cancer treatment, given to approximately half of all cancer patients in Sweden. Despite its widespread usage, there is currently no non-invasive and reliable imaging method that can identify regions of radiation resistance. READ MORE
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5. Rotor temperature estimation in Induction Motors with Supervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE