Outputs (6)

An investigation into the methods for modelling pre-existing cracks in phase field problems (2023)
Presentation / Conference Contribution
Sims, B., Bird, R., Giani, S., & Coombs, W. (2023, April). An investigation into the methods for modelling pre-existing cracks in phase field problems. Presented at UKACM 2023, Warwick, UK

Phase field (PF) models are an increasingly popular method of numerically modelling fracture problems. While research has focused on the practical applications and computational efficiency of PF methods, little discussion exists around the merits of... Read More about An investigation into the methods for modelling pre-existing cracks in phase field problems.

An hp-adaptive discontinuous Galerkin method for phase field fracture (2023)
Journal Article
Bird, R. E., Augarde, C. E., Coombs, W. M., Duddu, R., Giani, S., Huynh, P. T., & Sims, B. (2023). An hp-adaptive discontinuous Galerkin method for phase field fracture. Computer Methods in Applied Mechanics and Engineering, 416, Article 116336. https://doi.org/10.1016/j.cma.2023.116336

The phase field method is becoming the de facto choice for the numerical analysis of complex problems that involve multiple initiating, propagating, interacting, branching and merging fractures. However, within the context of finite element modelling... Read More about An hp-adaptive discontinuous Galerkin method for phase field fracture.

Convolutional neural network framework for wind turbine electromechanical fault detection (2023)
Journal Article
Stone, E., Giani, S., Zappalá, D., & Crabtree, C. (2023). Convolutional neural network framework for wind turbine electromechanical fault detection. Wind Energy, 26(10), 1082 - 1097. https://doi.org/10.1002/we.2857

Effective and timely health monitoring of wind turbine gearboxes and generators is essential to reduce the costs of operations and maintenance activities, especially offshore. This paper presents a scalable and lightweight Convolutional Neural Networ... Read More about Convolutional neural network framework for wind turbine electromechanical fault detection.

khp-adaptive spectral projection based discontinuous Galerkin method for the numerical solution of wave equations with memory (2023)
Journal Article
Giani, S., Engström, C., & Grubišić, L. (2023). khp-adaptive spectral projection based discontinuous Galerkin method for the numerical solution of wave equations with memory. Journal of Computational and Applied Mathematics, 429, Article 115212. https://doi.org/10.1016/j.cam.2023.115212

In this paper, we present an adaptive spectral projection based finite element method to numerically approximate the solution of the wave equation with memory. The adaptivity is not restricted to the mesh (hp-adaptivity), but it is also applied to th... Read More about khp-adaptive spectral projection based discontinuous Galerkin method for the numerical solution of wave equations with memory.

On Effects of Concentrated Loads on Perforated Sensitive Shells of Revolution (2023)
Journal Article
Giani, S., & Hakula, H. (2023). On Effects of Concentrated Loads on Perforated Sensitive Shells of Revolution. Journal of Computational and Applied Mathematics, 428, Article 115165. https://doi.org/10.1016/j.cam.2023.115165

Sensitive shells are a class of constructions with specific and perhaps unintuitive responses to different loading scenarios. There are new emerging applications for capsules with open cavities, and as the designs are optimised to maximise the payloa... Read More about On Effects of Concentrated Loads on Perforated Sensitive Shells of Revolution.

Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition (2023)
Journal Article
Miles, V., Giani, S., & Vogt, O. (2023). Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition. Journal of Computational and Applied Mathematics, 427, Article 115166. https://doi.org/10.1016/j.cam.2023.115166

Machining feature recognition is a key task in the intelligent analysis of 3D CAD models as it represents a bridge between a part design and the manufacturing processes required for manufacture and can, therefore, increase automation in the manufactu... Read More about Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition.