Search
Results
-
Machine learning-enabled weather forecasting for real-time radioactive transport and contamination prediction
(2024)Progress in nuclear energyEffective responses to nuclear accidents require accurate and fast predictions of radionuclide transport in the atmosphere. However, real-time forecasting has been challenging, since predicting the transport requires meteorological forecasting, which relies on computationally intensive numerical weather simulations. To address this challenge, we have developed statistical emulators for the Weather Research and Forecasting model (WRF) to ...Journal Article -
Augmenting materials passports to support disassembly planning based on building information modelling standards
(2024)Journal of Building EngineeringSelective disassembly planning and materials passports are precursor technologies to support the retrieval of reusable building components efficiently. Selective disassembly relies on information about the recovery capacity of the components, while materials passports can be used to keep track of the disassembly information along the component's life cycles. However, the required information for selective disassembly is not represented ...Journal Article -
BOATS: Bayesian optimization for active control of thermoacoustics
(2024)Journal of Sound and VibrationThis investigation presents novel adaptive control algorithms specifically designed to address and mitigate thermoacoustic instabilities. Gas turbines are limited in their operational range due to thermoacoustic instability. Two control strategies are available to alleviate this issue: active and passive. Active control strategies have a wider flexibility than passive control strategies because they can adapt to the operating conditions ...Journal Article -
Investigation of friction modeling on numerical Ti6Al4V cutting simulations
(2024)International Journal of Mechanical SciencesFriction significantly influences chip formation, thereby highlighting its modeling critical in numerical cutting simulations. Notably, issues like the underestimation of feed force in simulations are often attributed to inadequate friction models. Nevertheless, diverse conclusions in the literature regarding friction’s behavior complicate the accurate implementation of this input. Additionally, the enormous number of the available friction ...Journal Article -
Empowering a sustainable urban future: The key role of coordinated settlement development for optimising energy efficiency and socio-economic welfare
(2024)Sustainable Cities and SocietyThe nexus between urbanisation and energy transition represents a critical juncture in the pursuit of sustainable development. As cities continue to grow and expand, their energy needs rise, driving consumption and emissions. Simultaneously, efforts to transition towards renewable energy sources and improve energy efficiency are underway to mitigate climate change and reduce dependence on fossil fuels. However, urbanisation poses a challenge ...Journal Article -
Spawning semiclassical wavepackets
(2024)Journal of Computational PhysicsThe semiclassical (or Hagedorn) wavepackets depending on a fixed set of parameters are an orthonormal L²-basis of generalized coherent states. They have been used to solve numerically the time-dependent Schrödinger equation in its semiclassical formulation, yet their localization property makes them inefficient in case of non-local phenomena such as quantum tunneling. In order to overcome this difficulty, we use simultaneously several ...Journal Article -
Urban morphology clustering analysis to identify heat-prone neighbourhoods in cities
(2024)Sustainable Cities and SocietyExposure to heat is a major health concern to urban populations. Cities aim to reduce outdoor thermal stress by adapting the built environment, but the spatial heterogeneity within cities makes it difficult to establish universal mitigation strategies. We present a methodology that identifies the hottest neighbourhoods in a city and links them to underlying patterns in urban form and function, to derive heat mitigation measures for ...Journal Article -
Current applications using key mineral phases in igneous and metamorphic geology: perspectives for the future
(2024)Geological Society, London, Special Publications ~ Minor Minerals, Major Implications: Using Key Mineral Phases to Unravel the Formation and Evolution of Earth's CrustThe study of magmatic and metamorphic processes is challenged by geological complexities like geochemical variations, geochronological uncertainties and the presence/absence of fluids and/or melts. However, by integrating petrographic and microstructural studies with geochronology, geochemistry and phase equilibrium diagram investigations of different key mineral phases, it is possible to reconstruct insightful pressure–temperature–defo ...Book Chapter -
Co-evolution of a socio-cognitive scientific network: A case study of citation dynamics among astronomers
(2024)Social NetworksThis paper aims to understand how a group of academics cite each others’ work through time, considering the simultaneous co-evolution of three networks representing their scientific collaboration, the journals in which they publish and institutional membership. It argues that both social and cognitive processes contribute to these dynamics. Two types of network mechanisms are considered specifically: closures by affiliation and closures ...Journal Article -
Computational Design of 2D Lattice Structures Based on Crystallographic Symmetries
(2024)Journal of Mechanical DesignThe design representations of lattice structures are fundamental to the development of computational design approaches. Current applications of lattice structures are characterized by ever-growing demand on computational resources to solve difficult optimization problems or generate large datasets, opting for the development of efficient design representations which offer a high range of possible design variants, while at the same time ...Journal Article