Tim Dodwell
YOU?
Author Swipe
View article: But how can I optimise my high-dimensional problem with only very little data? – A composite manufacturing application
But how can I optimise my high-dimensional problem with only very little data? – A composite manufacturing application Open
In this research, a Gaussian process (GP) surrogate modelling framework for the forming process of dry carbon-fibre textile was investigated. A particular focus of the work is the development of dimension reduction algorithms, allowing to …
View article: Democratizing Uncertainty Quantification
Democratizing Uncertainty Quantification Open
Uncertainty Quantification (UQ) is vital to safety-critical model-based analyses, but the widespread adoption of sophisticated UQ methods is limited by technical complexity. In this paper, we introduce UM-Bridge (the UQ and Modeling Bridge…
View article: A probabilistic peridynamic framework with an application to the study of the statistical size effect
A probabilistic peridynamic framework with an application to the study of the statistical size effect Open
This is the final version. Available from Elsevier via the DOI in this record.
View article: Context-Aware Generative Models for Prediction of Aircraft Ground Tracks
Context-Aware Generative Models for Prediction of Aircraft Ground Tracks Open
Trajectory prediction (TP) plays an important role in supporting the decision-making of Air Traffic Controllers (ATCOs). Traditional TP methods are deterministic and physics-based, with parameters that are calibrated using aircraft surveil…
View article: Cross-Validation Based Adaptive Sampling for Multi-Level Gaussian Process Models
Cross-Validation Based Adaptive Sampling for Multi-Level Gaussian Process Models Open
Complex computer codes or models can often be run in a hierarchy of different levels of complexity ranging from the very basic to the sophisticated. The top levels in this hierarchy are typically expensive to run, which limits the number o…
View article: Fast optimisation of the formability of dry fabric preforms: A Bayesian approach
Fast optimisation of the formability of dry fabric preforms: A Bayesian approach Open
A new framework for optimising the process of forming dry textile materials using finite element (FE) analysis and Gaussian Process (GP) regression is explored in this work. FE models were generated to simulate the double diaphragm forming…
View article: Full-field prediction of stress and fracture patterns in composites using deep learning and self-attention
Full-field prediction of stress and fracture patterns in composites using deep learning and self-attention Open
An efficient surrogate modelling framework is proposed for full-field predictions of stresses and cracks in composite material microstructures. The framework comprises two sequential convolutional neural networks (CNNs), predicting the ela…
View article: A probabilistic model for aircraft in climb using monotonic functional Gaussian process emulators
A probabilistic model for aircraft in climb using monotonic functional Gaussian process emulators Open
Ensuring vertical separation is a key means of maintaining safe separation between aircraft in congested airspace. Aircraft trajectories are modelled in the presence of significant epistemic uncertainty, leading to discrepancies between ob…
View article: Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling
Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling Open
A probabilistic machine learning model is introduced to augment the $k-ω SST$ turbulence model in order to improve the modelling of separated flows and the generalisability of learnt corrections. Increasingly, machine learning methods have…
View article: Multilevel Delayed Acceptance MCMC
Multilevel Delayed Acceptance MCMC Open
.We develop a novel Markov chain Monte Carlo (MCMC) method that exploits a hierarchy of models of increasing complexity to efficiently generate samples from an unnormalized target distribution. Broadly, the method rewrites the multilevel M…
View article: A probabilistic peridynamic framework with an application to the study of the statistical size effect
A probabilistic peridynamic framework with an application to the study of the statistical size effect Open
Mathematical models are essential for understanding and making predictions about systems arising in nature and engineering. Yet, mathematical models are a simplification of true phenomena, thus making predictions subject to uncertainty. He…
View article: A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators
A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators Open
Ensuring vertical separation is a key means of maintaining safe separation between aircraft in congested airspace. Aircraft trajectories are modelled in the presence of significant epistemic uncertainty, leading to discrepancies between ob…
View article: Multilevel Delayed Acceptance MCMC
Multilevel Delayed Acceptance MCMC Open
We develop a novel Markov chain Monte Carlo (MCMC) method that exploits a hierarchy of models of increasing complexity to efficiently generate samples from an unnormalized target distribution. Broadly, the method rewrites the Multilevel MC…
View article: Where to Drill Next? A Dual-Weighted Approach to Adaptive Optimal Design of Groundwater Surveys
Where to Drill Next? A Dual-Weighted Approach to Adaptive Optimal Design of Groundwater Surveys Open
We present a novel approach to adaptive optimal design of groundwater surveys - a methodology for choosing the location of the next monitoring well. Our dual-weighted approach borrows ideas from Bayesian Optimisation and goal-oriented erro…
View article: An examination of the size effect in quasi-brittle materials using a bond-based peridynamic model
An examination of the size effect in quasi-brittle materials using a bond-based peridynamic model Open
This paper examines the size effect in quasi-brittle materials using a three-dimensional bond-based peridynamic model. This is the first time that the capability of a peridynamic model to capture the size effect in quasi-brittle materials …
View article: A data-centric approach to generative modelling for 3D-printed steel
A data-centric approach to generative modelling for 3D-printed steel Open
The emergence of additive manufacture (AM) for metallic material enables components of near arbitrary complexity to be produced. This has potential to disrupt traditional engineering approaches. However, metallic AM components exhibit grea…
View article: PeriPy - A high performance OpenCL peridynamics package
PeriPy - A high performance OpenCL peridynamics package Open
This paper presents a lightweight, open-source and high-performance python\npackage for solving peridynamics problems in solid mechanics. The development\nof this solver is motivated by the need for fast analysis tools to achieve the\nlarg…