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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 15 of 15 for “"Reduced-Order Modelling"”.
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Reduced order modelling of bone resorption and formation.
The bone remodelling process, performed by the Bone Multicellular Unit (BMU) is a key multi-hierarchically regulated process, which provides and supports various functionality of bone tissue. It is also plays a critical role in bone disorders, as well as bone tissue healing following damage. …
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Reduced-Order Modelling and Observations of Geological Carbon Dioxide Storage
… also increase. In this dissertation, I combine reduced-order fluid models and geophysical data to understand the controls on the rate of trapping and CO2 leakage in saline aquifers. Chapter 1 outlines the broader context of CO2 sequestration, both in terms of physical processes, observations, …
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Reduced order modelling of streamers and their characterization by macroscopic parameters
Electric discharges in gases occur at various scales, and are of both academic and practical interest for several reasons including understanding natural phenomena such as lightning, and for use in industrial applications. Streamers, self-propagating ionization fronts, are a particularly …
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Reduced-order modelling, circuit-level design and SOI fabrication of microelectromechanical resonators
… are extracted by applying mathematical model order reduction (MOR) to the devices finite element (FE) description in ANSYS c° . The behaviour of these devices includes forms of nonlinearities. However, an approximation in the creation of the FE model is introduced, which enables the use of …
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A reduced order modelling methodology for external cylindrical concentrated solar power central receivers
… for such plants. This dissertation presents a reduced order modelling methodology for external cylindrical concentrated solar power central receivers. The methodology is built on a one-dimensional thermofluid network to model the heat transfer through the tube walls, coupled to a fluid flow …
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Using control surfaces to evaluate weighting coefficients for fast thermo-fluid reduced-order-modelling strategies
… there is a pressing need for fast thermo-fluid modelling capabilities, and moreover there is a desire to incorporate such practices early in design. Incorporating Reduced Order Models (ROMs) alongside existing Computational Fluid Dynamics (CFD) simulation has been touted as a promising means to …
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Reduced order modelling and numerical optimisation approach to reliability analysis of microsystems and power modules
… design optimisation involves the integration of reduced order modelling, risk analysis and optimisation. The increasing cost of physical prototyping and extensive qualification testing for reliability assessment is making virtual qualification a very attractive alternative for the electronics …
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Machine learning applications in astrophysics: Reduced-order modelling for chemical kinetics and galaxy merger reconstruction with graph neural network
… Specifically, autoencoders identify the reduced reaction subspace while the neural ODE learn the latent space dynamics. This demonstrates the potential of using deep learning for reduced order modeling of complex chemical networks in astrophysics. For studying galaxy evolution, a …
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The Effects of Porous Inert Media in a Self-Excited Thermoacoustic Instability: A Study of Heat Release and Reduced Order Modelling
… early-stage design considerations such as reduced order modeling, which is often used to study a systems' stability response to geometric changes and mitigation approaches. These reduced order models rely on flame transfer functions (FTF) which numerically represent the relationship between …
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On-board near-optimal climb-dash energy management
Reduced order modelling has been extensively used in the solution of problems in flight mechanics. In particular the lowest-order attractive due to its simplicity, energy model is but because of the assumptions made (γ = 0.0) is of little use for realtime guidance. The method of matched asymptotic …
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A risk analysis methodology for micro/nano manufacturing
… for process and product analysis, including the reduced order modelling using design of experiments, risk analysis using sampling-based and analytical methods and optimisation techniques. The integrated risk analysis and optimisation methodology is applied to two applications: (1) the FIB …
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Efficient and robust partitioned solution schemes for fluid-structure interactions
… widely used conservative formulation is a zero order method. Furthermore, while the consistent formulation is not provably conservative, it yields errors well within acceptable levels and converges within the limit of mesh refinement. A newly developed multi-vector update quasi-Newton (MVQN) …
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Developing new multiscale models for the numerical simulation of Pultruded GFRP Structural Elements
… reviews the state-of-the-art in numerical modelling of structural fibre-reinforced polymeric elements, particularly pultruded Glass Fibre Reinforced Polymers (GFRP). It highlights their use as load-bearing structural elements and evaluates various numerical methods, including Finite Element …
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Methods for safety and stability analysis of nuclear systems
L'abstract è presente nell'allegato / the abstract is in the attachment