Imperial College London

DrFangxinFang

Faculty of EngineeringDepartment of Earth Science & Engineering

Senior Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 1912f.fang CV

 
 
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Location

 

4.90Royal School of MinesSouth Kensington Campus

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Summary

 

Overview

  • Conduct and lead research on the development of cutting-edge data assimilation and reduced modelling techniques for improving the predictability of Earth system models (ocean modelling, air pollution, radiation modelling, nuclear modelling, multiphase flows) and assessment of natural disasters (e.g. flooding) and pollution in coastal/urban environments
  • Lead research on next generation adaptive mesh air pollution and weather forecast model (collaborate with Institute of Atmospheric and Physics, CAS in China)
  • Lead research on the 2D and 3D flooding model using adaptive mesh techniques

Reduced Order Modelling - Videos

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The top animation is obtained from the high fidelity unstructured mesh finite element model; the bottom animation is obtained from the rapid reduced order model (ROM). Without compromising the solution's accuracy the ROM model was able to reduce the problem size by several orders of magnitude. For details, please see: Fang F, Zhang T, Pavlidis D, Pain CC, Buchan AG, Navon IM, 2014, Reduced order modelling of an unstructured mesh air pollution model and application in 2D/3D urban street canyons, ATMOSPHERIC ENVIRONMENT, Vol: 96, Pages: 96-106, ISSN: 1352-2310
The left animation of blasting is obtained from the high fidelity unstructured mesh finite element model; the right animation is obtained from the rapid reduced order model (ROM). For details, please see: D. Xiao, Y. Pan, F. Fang*, J. Xiang, C.C. Pain, I.M. Navon, M. Chen, A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting, Journal of Computational Physics, 330, 221-244, 2017.
The left animation of blasting is obtained from the high fidelity unstructured mesh finite element model; the right animation is obtained from the rapid reduced order model. For details, please see: D. Xiao, Y. Pan, F. Fang*, J. Xiang, C.C. Pain, I.M. Navon, M. Chen, A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting, Journal of Computational Physics, 330, 221-244, 2017.


Adaptive unstructured mesh air pollution modelling - Video

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3-D simulation of pollutants released from over 100 power plants aross 55 densely populated cities including Beijing in China – using using the fully unstructured anisotropic adaptive mesh technology of Fluidity. For details, please see: Zheng J, Zhu J, Wang Z, Fang F*, Pain CC, Xiang J, 2015, Towards a new multiscale air quality transport model using the fully unstructured anisotropic adaptive mesh technology of Fluidity (version 4.1.9), GEOSCIENTIFIC MODEL DEVELOPMENT, Vol: 8, Pages: 3421-3440, ISSN: 1991-959X

RESEARCH GRANTS

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  • Managing Air for Green Inner Cities (MAGIC), EPSRC consortium, £5M (Co-PI) (2015-2020)
  • 3D simulation of sediment transport and mass exchange in stratified estuary, The Royal Society, £12k (Co-PI) (2016-2018)
  • Computational Nuclear Engineering, HMS Sultan, £240,388 (Co-PI) (2015-2017)
  • Preparing for Extreme and rare events in coastal regions, ERC, 2013-2017 (Acting Co-PI), Euro 343,329
  • Promoting International Collaboration, a UK – China Initiative i.e. UK-Sino Virtual Lab on Predictive Modelling for Sustainable Urban Development, EPSRC, 2012-2013 (Co-PI), £40, 000
  • A UK – China Initiative to Develop Predictive Ocean Modelling as a key aspect of a Joint Advanced Environmental Modelling Centre that can tackle grand challenge problems, NERC, 2012-2014 (Co-PI), £290, 000
  • Advanced new methods for multi-scale free surface Regional Ocean modelling with adjoint data assimilation, EPSRC, 2010-2013 (Co-PI), £789,662
  • Next Generation' unstructured mesh ocean global circulation modelling. NERC, (A key research participant), 2005 - 2011, £1.1M

Collaborators

Prof. Zhiguo He, Zhejiang University, Modelling of sediments, 2014

Prof. Jiang Zhu, Prof. Zhifa Wang, Institute of Atmosphere and Physics, CAS, China, Air pollution, weather forecast, ocean modelling, 2011

Prof. Cuangbing Zhou, Prof. Zhixian Cao, Prof. Wenbo Lo, Prof. Wei Zhou, Wuhan University, Sediment, flooding, solid, fluid, soils-fluid coupling, environment and hydraulic engineering, 2011

Professor John Polak, Centre for Transport, Department of Civil and Environmental Engineering, Air pollution

ROBIN NORTH, Centre for Transport, Department of Civil and Environmental Engineering, Air pollution

Prof. I.M.Navon, Department of Scientific Computing, Florida State University, Data Assimilation, Reduced order modelling, Numerical modelling

Professor Cedo Maksimovic, Civil Engineering, Imperial College, Flooding

Guest Lectures

"Independent Set Perturbation Adjoint Method and its Applications" and "POD Reduced Order 4D-Var Adaptive Mesh Ocean Modelling", Institute of Atmosphere and Physics, CAS, Beijing China, 2010

Model Prediction, Data Assimilation and its Application, Wuhan University, Wuhan, China, 2010

Research Student Supervision

Ardjmandpour,N, Modelling and inversion of array induction tool

Barnard,V, The Inversion of the Boltzmann Transport Equation with Medical Optical Tomography Applications

Chen,X, A dual weighted trust-region adaptive POD 4D-Var applied to a finite-volume shallow-water equations model on the sphere

Du,J, Reduced order modelling and Navier Stokes Equations

He,Y, Integration of flooding in urban areas by modelling simulation

Hopcroft,P, New methods for inferring past climatic changes from underground temperatures

Hu,T, Development and applications of next generation flooding model

Little,A, Radionuclide transport modelling in the estuarine environment using CFD

Xiao,D, Next-generation data assimilation model and its application

Yang,P, Development and applications of solid and fluid coupling

Zhang,T, Modelling for Prediction and Management of Interactions of Urban Pluvial, Fluvial and Coastal Flooding

Zheng,J, Adaptive mesh numerical modelling of air pollution