Modelling and simulation play a crucial role in computational modelling across multiple scales. It relies on insights from experimental studies and is vital for advancing fundamental engineering analysis. This approach significantly strengthens our in-depth exploration of fluid and solid mechanics, contributing to the advancement of essential research in these areas.
- Computational Solid Mechanics: focusing on mathematical models and simulations to analyse the structural behaviour of solid materials under diverse conditions. This discipline plays a pivotal role in predicting and optimizing the performance of engineering structures, guiding design processes, and ensuring the reliability and durability of materials in various applications.
- Computational Fluid Mechanics and Heat Transfer: utilizing sophisticated mathematical models and simulations to analyse intricate fluid dynamics and thermal phenomena. This advanced discipline is pivotal in optimizing engineering processes, ensuring precision in heat management, and advancing scientific understanding of complex thermofluidic systems.
- Physics-Informed Data-Driven Models: integrating principles of physics with data-driven techniques, advancing computational methods. This sophisticated approach combines empirical insights with mathematical modelling, enhancing accuracy and efficiency in simulations for complex systems within various scientific and engineering domains.
- Cost-Effective Finite Element Simulations: exploring the power of Cost-Effective Finite Element Simulations, where we optimize computational resources without compromising accuracy. Our research focuses on delivering efficient and affordable solutions for diverse engineering applications.
Researchers (Academics):
Dr Amir Hosein Sakhaei (Head of Mechanical Engineering Group)
Dr Bo Li (Lecturer in Mechanical Engineering)
Dr Armin Yousefi Kanani (Lecturer in Mechanical Engineering)
Dr Vahid Azimirad (Lecturer in Mechanical Engineering)
Researchers (Postgraduate Students):
Mr Michael MacAulay (PhD student)