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Modelling and Simulation Centre

Modelling - calculations on blackboard

Our research

Research in this centre covers the entire range of the engineering sciences, from the microstructure of materials to the flow of ocean currents. Our researchers work with the power generating industries, including renewable energy, aerospace, automotive, biomechanics and civil engineering companies.

MaSC areas of activity

The Centre continues to establish and develop an active portfolio of research against the following key areas of activity

  1. Multi-scale Multi-physics Modelling for Engineering Application
    At the core of our research we have a strong and internationally recognized track record of developing and refining a wide range of computational models (FVM, SPH, FEM, LBM). Potential is high to position MaSC as a conduit to strengthen existing interactions with academics in CEAS, EES and Materials who are engaged in similar activities. Our research strengths cover a range of multi-physics phenomena and are developed to span a range of physical scales. These include turbulence mechanics, multiphase and free-surface flow, fluid structure interaction, combustion and fire, crack propagation and growth. We seek to build on this work by enabling efficient coupling between these areas to address key industrial challenges, such as energy storage and fusion, and by adapting them for use in different domains.
  2. Data Science for Computational Engineering
    An essential area of development, needed to realise the promise of computational engineering as a practical and efficient tool for design optimisation, uncertainty quantification, digital twinning and virtual/augmented environments. Integration of AI and Machine Learning methods provide a systematic and adaptable framework for leveraging our extensive expertise in physical modelling. A synergistic approach is needed to address the system-level challenges presented by industry; data science methods will have limited success without underlying expertise in physical modelling, and vice versa.
  3. Future Integration of Computational Engineering
    New use modes of simulation are emerging, beyond the standard application of computational engineering software in traditional hardware. The use of novel hardware on distributed architecture, the emergence of exascale platforms for high performance computing, where in-situ data analysis/visualization is increasingly essential. Incorporation of VR/AR systems to enable interactive design and analysis. System-level Simulation leading to Digital Twinning. Use of cloud based and edge computing for continuous training of models via AI algorithms.
  4. Research Software Infrastructure
    The development of open-source software is at the centre of our work, with our modelling capabilities represented by a series of opensource software tools where we integrate and champion the research achievements from our groups (Code_Saturne, SPHysics, OpenFOAM, ParaFEM, LUMA). Regular turnover of developers and multiuser collaboration requires robust software management; e.g. automatic validation, repeatability, continuous integration. In this aspect we rely on expertise from Research Software Engineers and would benefit from greater interaction with staff in Computer Science.


Our research interests range from the fundamental physics of turbulent flow to strategies for simulations involving multiple failure mechanisms and the challenges of modelling the interaction between fluid flow and structural behaviour.

Browse this Centre’s specialisms below.

  • Acoustic flow
  • Steckler room test
  • High shear mixer
  • Fracture modelling in nuclear graphite
  • Explosion containment vessel
  • Smoothed particle hydrodynamics
  • Female researcher welding