Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Physics-based modelling"”.
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Physics-based modelling, simulation, placement and learning for musculo-skeletal animations.
… machine learning approach for deformable objects based on Deep Neural Networks. Primitives modeling aims at proposing an approach to generating muscle geometry complete with tendons and fibers from superficial patches sketched on the character skin mesh. The method utilizes the physics of …
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Quantum Algorithms for Solving Differential Equations with Application to Computational Fluid Dynamics
… variational hybrid strategies, generative modelling, quantum data processing and physics-informed quantum machine learning. These methods are demonstrated on representative CFD use cases, capturing essential flow features while accounting for quantum resource constraints. The thesis …
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Modelling the Exposure of Satellites in Medium Earth Orbit to Proton Belt Radiation
… several months, and there is a strong need for physics‐based modelling in order to predict the impact these changes may have on orbiting spacecraft. This thesis addresses the need for physics-based modelling by presenting an investigation into inner proton belt variability with a 3D numerical …
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Hydrological and erosion responses to man-made and natural disturbances : insights from forested catchments in South-central Chile
… experiments, data analysis techniques, and physics-based modelling to investigate: 1) the effect of plantation forests on water resources, 2) the source and sink behavior of timber harvest areas in terms of overland flow generation and sediment fluxes, 3) geomorphic work and its efficiency …
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Physics-based aeroacoustic modelling of bluff-bodies
In this work physics-based modelling of bluff-body noise was performed with application to landing gear noise production. The landing gear is a primary contributor to airframe noise during approach. Noise is primarily generated from the unsteady pressures resulting from the turbulent flow around …
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Physics-Based Statistical Learning in Thermoacoustics
… general. In this thesis, we propose to generate physics-based qualitatively-accurate reduced-order models, which are general, and then tune their parameters so that they become quantitatively accurate to describe the system under investigation. To do this, we use statistical learning techniques …
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On the plastic deformation behaviour of nickel-based superalloys: low cycle fatigue and stress orientation effects
… knowledge of plastic deformation in nickel-based superalloys, with a focus on dislocation mechanisms and the effect of microstructure. The two main topics treated are the evolution of the dislocation structure during low cycle fatigue and the effect of loading orientation on the propagation …
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Qualitative Adaptive Identification for Powertrain Systems. Powertrain Dynamic Modelling and Adaptive Identification Algorithms with Identifiability Analysis for Real-Time Monitoring and Detectability Assessment of Physical and Semi-Physical System Parameters
… technologies. At the outset of this study a physics-based control-oriented dynamic model of a complete transient engine testing facility, consisting of a single cylinder engine, an alternating current dynamometer and a coupling shaft unit, is developed to investigate the functional …