MS2: Advances in Parallel Simulation of Reacting Flow
Jiang Fang, Zhi X. Chen, Umair Ahmed, and Daniel Mira
Abstract
The simulation of reacting flow on modern high-performance computing systems is still a very active and challenging topic. The objective of achieving carbon neutrality requires further investigation into the mechanisms of reacting flow related carbon neutral fuels, such as, hydrogen and ammonia. However, the complexity of turbulence/chemistry interaction and the variety of flow scales in reacting flows raise a lot of challenges to algorithm, numerical scheme, turbulence and combustion models. The rapid development in computing hardware and data technologies has largely boosted the large-scale high-fidelity simulations of turbulent reacting flows, although there are still many on-going works needs to be further discussed within the community. This mini-symposium is to communicate the progresses in simulation of reacting flow.
Topics of interest of this mini-symposium include, but are not limited to:
- High-performance computing of combustion applications, including direct-numerical/large-eddy simulations.
- Data-driven techniques related to combustion.
- Numerical scheme and algorithm that can be used in simulations of reacting flows.
- Tackling multi-physics phenomenon in combustion (e.g. droplets, detonation, explosions, ignition, flame-wall interaction and quenching).
- Combustion dynamics and instabilities.
- Combustion modelling.
Jian Fang - Science and Technology Facilities Council (STFC) Scientific Computing Department, Daresbury Laboratory
Dr. Jian Fang is currently a principal scientist of Science and Technology Facilities Council. He has been working in high-order numerical methods, high-performance computing, combustion, high-speed aerodynamics, and data-driven turbulence modelling.
Zhi X. Chen - Peking University State Key Laboratory of Turbulence and Complex Systems, College of Engineering
Dr Zhi X. Chen is an Assistant Professor at Peking University. Prior to this position, he was at University of Cambridge as a PhD, Post-doc and College Senior Research Fellow. His research interests include numerical modelling of turbulent reactive flows, machine learning assisted high fidelity combustion simulation, high-performance computing algorithm for GPU and heterogenous architectures.
Umair Ahmed - School of Engineering, Newcastle University
Dr. Umair Ahmed is a Lecturer of Computational Fluid Dynamics (CFD) in the School of Engineering at Newcastle University. His research interests include modelling and simulation of turbulence, heat transfer and combustion. He has been involved in developing modelling techniques for flame-wall interaction within turbulent boundary layers. His recent work also involves developing adaptive numerical techniques for turbulent combustion and multi-physics phenomenon encountered in engineering applications.
Daniel Mira - Barcelona Supercomputing Center (BSC), Computer Applications in Science and Engineering Department
Daniel Mira is the Head of the Propulsion Technologies Group at the Barcelona Supercomputing Center (BSC). Dr. Mira received his bachelor’s degree in Mechanical Engineering in 2008 and his PhD from Lancaster University (UK) in 2012. His research activities are focused on the development of advanced modelling and simulation techniques for the study and understanding of complex phenomena in propulsion and power generation systems using physical modelling combined with data-driven methods and High-Performance Computing (HPC).
