Dr Andrei Shvarts
- Lecturer (Infrastructure & Environment)
Andrei obtained BSc (2012) and MSc (2014) degrees with distinction in Applied Mathematics and Computer Science from the St. Petersburg Polytechnic University (Russia). He undertook doctoral studies at École des Mines de Paris (MINES ParisTech - PSL University, France) in collaboration with Safran Tech, before completing his PhD thesis in 2019.
Andrei's doctoral research focused on the development of a coupled numerical framework for simulating fluid transport in contact interfaces between solids with rough surfaces, relevant for sealing applications in the nuclear industry. High quality of Andrei's work was acknowledged by two national PhD awards: from the French Computational Structural Mechanics Association (member of ECCOMAS) and from the French Mechanical Association for the best dissertation in tribology.
Andrei joined the University of Glasgow in 2019 as a post-doc to work on the modelling of fracture in irradiated graphite bricks in collaboration with industrial partners (EDF Energy and Jacobs). In this project, he focused on extending the functionality of MoFEM (an open-source parallel finite-element library developed at GCEC) to handle the interaction of propagating cracks with contact interfaces between fractured solids. Currently, Andrei holds a position of Lecturer in Computational Mechanics at GCEC.
My research interests are centred on the development of novel disruptive approaches for numerical modelling in engineering and applied physics, with a focus on problems related to computational mechanics. I am one of core developers of MoFEM, an advanced open-source finite-element library with HPC capabilities for solving multi-field, multi-physics and multi-scale problems.
Following my recent appointment as a Lecturer, I aspire to build a new research group providing easy access to cutting-edge computational tools underpinning collaborations with colleagues from related disciplines and industries. Currently, my research focuses on the following directions:
- Numerical simulation of triboelectric nanogenerators (TENG). These modern devices allow transformation from mechanical energy into electrical energy, i.e. provide autonomous sources of clean energy. Accurate simulation of TENG performance demands considering a multi-physical and multi-scale problem taking into account statistically representative surface roughness. Using capabilities of MoFEM, I aim to provide a reliable tool to accelerate the design, optimisation and prototyping of new TENG.
- Data-driven (DD) computational mechanics. DD approach permits to avoid fitting of experimental measurements to material models and directly use available data in simulations, relying on methods of mathematical statistics. At the same time, the conservation laws and boundary conditions are satisfied using the finite element method. This approach can be particularly useful for problems with complex constitutive behaviour: fracture in heterogeneous materials, unsaturated fluid flow, rheology of granular materials, etc.
All interested candidates are invited to get in contact with me to discuss the project and scholarship opportunities.
- Sanglap, MD Tanzib Ehsan
Transient simulation of triboelectric nanogenerators considering surface roughness
Currently I supervise the following PhD students:
Adriana Kuliková, Data-driven computational modelling of fracture of nuclear graphite bricks
MD Tanzib Ehsan Sanglap, Transient simulation of triboelectric nanogenerators considering surface roughness
I currently teach blocks in the following courses:
- Finite Element Analysis 4/M (ENG4025/ENG5294)
- Structures in Action M (ENG5088)
- Structural Mechanics 3 (ENG3047)
- Statics 1 (ENG1065)
Furthermore, I supervise undergraduate and postgraduate students in the following projects: