Multi-physics
Multi-physics simulation method.
For queries about this topic, contact Georges Limbert.
View the calendar of events relating to this topic.
Projects
Advanced modelling for two-phase reacting flow
Edward Richardson (Investigator)
Engine designers want computer programs to help them invent ways to use less fuel and produce less pollution. This research aims to provide an accurate and practical model for the injection and combustion of liquid fuel blends.
Chaotic Analysis of Partial Discharge
Paul Lewin
The deterministic character of PD pulses predicted by theory can experimentally (real and numerical) be shown to be existent. Finding characteristic patterns in phase space enables field-data PD detection with high reliability.
Complexity in Modelling Electric Marine Propulsive Devices
Suleiman Sharkh, Neil Bressloff, Hans Fangohr (Investigators), Aleksander Dubas
This project involves the simulation of turbulent flow around a marine rim-driven thruster and the complex interaction of flow features involved through computational fluid dynamics.
Continuously Tunable Optical Buffer
Peter Horak (Investigator)
The project aims to design, fabricate and test a novel integrated all-optical buffer device that is based on MEMS technology and provides a continuously tunable delay for optical pulses over a broad wavelength region. Such a device could play a crucial role in future packet-switched optical networks, photonic integrated circuits and coherent light based applications such as optically steered phase array antennas, LIDAR and optical coherence tomography.
This EPSRC funded project is a collaboration between the Optoelectronics Research Centre, Southampton, and University College London.
Development of wide-ranging functionality in ONETEP
Chris-Kriton Skylaris (Investigator), Jacek Dziedzic
ONETEP is at the cutting edge of developments in first principles calculations. However, while the fundamental difficulties of performing accurate first-principles calculations with linear-scaling cost have been solved, only a small core of functionality is currently available in ONETEP which prevents its wide application. In this collaborative project between three Universities, the original developers of ONETEP will lead an ambitious workplan whereby the functionality of the code will be rapidly and significantly enriched.
Dynamag: computational magnonics
Hans Fangohr, Atul Bhaskar (Investigators), Matteo Franchin, Andreas Knittel
Analytical treatment of long range magneto-dipole interactions is a bottle-neck of magnonics and more generally of the theory of spin waves in non-uniform media. This project develops a theoretical framework for analysis of magnonic phenomena in magnetic nano-structures, including isolated nano-elements, arrays of those, and extended magnonic crystals. The DYNAMAG project is funded by the EU FP7 and the DST of India.
Electrostatic embedded energy calculations of proteins, using the ONETEP DFT code
Chris-Kriton Skylaris (Investigator), Stephen Fox, Chris Pittock
Calculating the energy of a biomolecule in solvent, using quantum mechanics (QM) is possible, but extremely challenging, even with linear-scaling QM methods like ONETEP. Using electrostatic embedding, a novel twist on the existing QM/MM method is used to calculate the binding energy of a small ligand to a solvated protein, increasing the accuracy and realism of our general project work.
Fluid Loads and Motions of Damaged Ships
Dominic Hudson, Ming-yi Tan (Investigators), Christian Wood, James Underwood, Adam Sobey
An area of research currently of interest in the marine industry is the effect of damage on ship structures. Research into the behaviour of damaged ships began in the mid nineties as a result of Ro-Ro disasters (e.g. Estonia in 1994). Due to the way the Estonia sank early research mainly focused on transient behaviour immediately after the damage takes place, the prediction of capsize, and of large lateral motions. Further research efforts, headed by the UK MoD, began following an incident where HMS Nottingham ran aground tearing a 50m hole from bow to bridge, flooding five compartments and almost causing the ship to sink just off Lord Howe Island in 2002. This project intends to answer the following questions:
“For a given amount of underwater damage (e.g. collision or torpedo/mine hit), what will be the progressive damage spread if the ship travels at ‘x’ knots? OR for a given amount of underwater damage, what is the maximum speed at which the ship can travel without causing additional damage?”
Fluid Structure Interactions of Yacht Sails
Stephen Turnock (Investigator), Daniele Trimarchi
The research is the main subject of the PhD topic. It regards the application of fluid structure interaction techniques to the domain of yacht sails simulation
Fundamental Investigations of Cross-Coupled, Particle-Turbulence Interactions using a Pseudo Spectral DNS Code
Gabriel Amine-Eddine (Investigator), John Shrimpton
The behaviour of multiphase flows is of primary importance in many engineering applications. In the past, experimental observations have provided many researchers with the ability to understand and probe the phenomena and physical processes occurring in such flows. With advancements in modern day computational power, we now have the ability to gain an even greater wealth of knowledge, from what used to be a physical experiment, is now a virtual experiment, running across multiple computers in parallel architectures.
In this project, we simulate the full Navier-Stokes equations in a virtual experiment, and resolve to the best of degree, all possible scales of turbulence. We have the capability to track millions of computational particles in conjunction with the turbulence, and if the particles are charged, coupled to the turbulence, or if gravity is in the scenarios, we can examine the complex physical processes that occur in such a flow.
Provision has been made to simulate particles in conjunction with turbulence that has been subjected to deformations due to shear, strain, axi-symmetric contraction or expansion. Advancements in this code are soon to include the transport and coupling of scalar temperature between particles and the turbulence.
Currently, focus is on the coupling behaviour of poly-sized particle with the turbulence, and how such turbulence can be modelled accurately using stochastic Langevin methods.
High-resolution shock-capturing (HRSC) methods for elastic matter in general relativity
Carsten Gundlach, Ian Hawke (Investigators)
We are designing HRSC methods for numerical simulation of elastic matter coupled to general relativity and later magnetic fields, with the ultimate aim of simulating old neutron stars, which have elastic crusts.
Laser-Induced Forward Transfer Nano-Printing Process - Multiscale Modelling, Experimental Validation and Optimization
Kai Luo, Rob Eason (Investigators)
LIFT is a direct-write microfabrication and micro/nano printing technique that has received much attention in the research communities and industries in recent years. It offers significant advantages over other competing printing methodologies and has potential applications in many high-tech high-value industries. The method is modelled, studied and optimised using computational techniques in this work.
Mathematical modelling of plant nutrient uptake
Tiina Roose (Investigator)
In this project I will describe a model of plant water and nutrient uptake and how to translate this model and experimental data from the single root scale to the root branching structure scale.
Modelling micromagnetism at elevated temperature
Hans Fangohr (Investigator), Dmitri Chernyshenko
We aim to develop a multiscale multiphysics model of
micromagnetism at elevated temperatures with atomistic simulations for
material parameter. The tool will be used to guide the development of the next generation magnetic data storage technology: heat assisted magnetic recording.
Modelling neuronal activity at the knee joint
Mark Taylor, Tiina Roose (Investigators), Gwen Palmer
The function of the knee joint is reliant on proprioception, which involves the response of nerve endings in the tissues at the joint. This project will be concentrating on the neuronal activity, caused by mechanical stimuli, of the more common receptors found at the knee (Ruffini, Paciniform, Golgi and Nociceptor).
There are three stages to this project:
1. Modelling the behaviour of each individual receptor, with the use of the Hodgkin-Huxley model [1].
2. These models will then be applied to the soft tissues around a knee, where a global deformation of the tissue will result in local stimulation of receptors.
3. The soft tissue models will then be applied to structures in the knee.
[1] - Hodgkin, A.L. and A.F. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve. Journal of Physiology, 1952. 117: p. 500-544.
Simulations investigating droplet diameter-charge models, for predicting electrostatically atomized dielectric liquid spray chracteristics
Gabriel Amine-Eddine (Investigator), John Shrimpton
Liquid sprays are atomized using electrostatic methods in many scientific, industrial and engineering applications. Due to jet and droplet breakup mechanisms, these spray plumes contain a range of drop diameters with a range of droplet charges. As a result of space charge repulsion forces between droplets, a wide range of inertial characteristics can be observed. Using an transient charged spray CFD code we have performed simulations to investigate charge-diameter relationship models for predicting the dynamics of poly-disperse and electrostatically charged hydrocarbon sprays.
A numerical procedure has been developed to allow for easy simulation and modelling of electrostatically atomised liquid sprays.
Currently work is underway, to extend the methodology developed in this study towards high-pressure sprays, where secondary atomization plays a dominant role within the spray dynamics and subsequent performance of the spray itself.
Sustainable domain-specific software generation tools for extremely parallel particle-based simulations
Chris-Kriton Skylaris (Investigator)
A range of particle based methods (PBM) are currently used to simulate materials in chemistry, engineering, physics and biophysics. The 4 types of PBM considered directly in the proposed are molecular dynamics (MD), the ONETEP quantum mechanics-based program, discrete element modelling (DEM), and smoothed particle hydrodynamics (SPH).
The overall research objective is to develop a sustainable tool that will deliver, in the future, cutting edge research applicable to applications ranging from dam engineering to atomistic drug design.
People
Rob EasonProfessor, Optoelectronics Research Centre
Hans FangohrProfessor, Engineering Sciences (FEE)
Carsten GundlachProfessor, Mathematics (FSHS)
Paul LewinProfessor, Electronics and Computer Science (FPAS)
Kai LuoProfessor, Engineering Sciences (FEE)
Mark TaylorProfessor, Engineering Sciences (FEE)
Stephen TurnockProfessor, Engineering Sciences (FEE)
Nicolas GreenReader, Electronics and Computer Science (FPAS)
Peter HorakReader, Optoelectronics Research Centre
Tiina RooseReader, Engineering Sciences (FEE)
John ShrimptonReader, Engineering Sciences (FEE)
Atul BhaskarSenior Lecturer, Engineering Sciences (FEE)
Neil BressloffSenior Lecturer, Engineering Sciences (FEE)
Dominic HudsonSenior Lecturer, Engineering Sciences (FEE)
Suleiman SharkhSenior Lecturer, Engineering Sciences (FEE)
Gwenael GabardLecturer, Institute of Sound & Vibration Research (FEE)
Ian HawkeLecturer, Mathematics (FSHS)
Chris-Kriton SkylarisLecturer, Chemistry (FNES)
Ming-yi TanLecturer, Engineering Sciences (FEE)
Anatoliy VorobevLecturer, Engineering Sciences (FEE)
Reno ChoiSenior Research Fellow, Geography (FSHS)
Francesco PolettiSenior Research Fellow, Optoelectronics Research Centre
Edward RichardsonSenior Research Fellow, Engineering Sciences (FEE)
Richard BoardmanResearch Fellow, Engineering Sciences (FEE)
Jacek DziedzicResearch Fellow, Chemistry (FNES)
Matteo FranchinResearch Fellow, Engineering Sciences (FEE)
Ugur MartResearch Fellow, Engineering Sciences (FEE)
Gabriel Amine-EddinePostgraduate Research Student, Engineering Sciences (FEE)
Dmitri ChernyshenkoPostgraduate Research Student, Engineering Sciences (FEE)
Aleksander DubasPostgraduate Research Student, Engineering Sciences (FEE)
Stephen FoxPostgraduate Research Student, Chemistry (FNES)
Joshua Jeeson DanielPostgraduate Research Student, Engineering Sciences (FEE)
Andreas KnittelPostgraduate Research Student, Engineering Sciences (FEE)
Neil O'BrienPostgraduate Research Student, Engineering Sciences (FEE)
Gwen PalmerPostgraduate Research Student, Engineering Sciences (FEE)
Lyuboslav PetrovPostgraduate Research Student, Electronics and Computer Science (FPAS)
Chris PittockPostgraduate Research Student, Chemistry (FNES)
Alvaro Ruiz-SerranoPostgraduate Research Student, Chemistry (FNES)
Adam SobeyPostgraduate Research Student, Engineering Sciences (FEE)
Daniele TrimarchiPostgraduate Research Student, Engineering Sciences (FEE)
James UnderwoodPostgraduate Research Student, Engineering Sciences (FEE)
Christian WoodPostgraduate Research Student, Engineering Sciences (FEE)
Elena VatagaTechnical Staff, iSolutions
Petrina ButlerAdministrative Staff, Research and Innovation Services
Moresh WankhedeAlumnus, Dacolt International B.V.