Summary
I am currently working on the EPSRC-funded "MUFFINS project" (MUltiphase Flow-induced Fluid-flexible structure InteractioN in Subsea applications), focusing on reduced order modelling of slug flow in pipes.
Prior to this I have worked on:
• the Newton-funded "Smart GeoWells" project, of which the aim was the numerical prediction of optimal drilling strategies for extracting geo-thermal energy;
• the "Fast Reactor Physics Modelling" project funded by HMS Sultan, which investigated the application of reduced order modelling to problems in reactor physics.
My research interests span several areas including:
(1) reduced order modelling;
(2) calculating error bounds for parameters derived from computational homogenisation;
(3) investigating summation rules for the quasi-continuum method;
(4) error estimation and adaptive mesh refinement;
(5) meshless methods in geomechanics.
Publications
Journals
Xiao D, Fang F, Heaney CE, et al., 2019, A domain decomposition method for the non-intrusive reduced order modelling of fluid flow, Computer Methods in Applied Mechanics and Engineering, Vol:354, ISSN:0045-7825, Pages:307-330
Xiao D, Heaney CE, Fang F, et al., 2019, A domain decomposition non-intrusive reduced order model for turbulent flows, Computers and Fluids, Vol:182, ISSN:0045-7930, Pages:15-27
Xiao D, Heaney CE, Mottet L, et al., 2019, A reduced order model for turbulent flows in the urban environment using machine learning, Building and Environment, Vol:148, ISSN:0360-1323, Pages:323-337
Conference
Salinas P, Jacquemyn C, Kampitsis A, et al., 2019, A parallel load-balancing reservoir simulator with dynamic mesh optimisation
Salinas P, Jacquemyn C, Kampitsis A, et al., 2019, A parallel load-balancing reservoir simulator with dynamic mesh optimisation