Topic：New Trends in Mathematical Modeling of Physical and Chemical Processes in Science and Technology
Speaker: Prof. Sergei Martynenko, Federal Research Center for Problems of Chemical Physics and Medicinal Chemistry of the Russian Academy of Sciences
Time: Wednesday, October 30, 2024, 14:00-17:00
Venue: Main Building F805, Shahe Campus
Abstract:
Mathematical modeling of physical and chemical processes has always been an important activity in science and engineering. Scientists and engineers, however, cannot understand all the details of the mathematical models, numerical algorithms, parallel computing technologies, and parallel supercomputer architectures. This fact motivates the development of black-box software.
CFD software has become an essential modeling tool to study and validate flow problems in engineered systems. Many computer-aided engineering (CAE) programs for CFD are available with different capabilities, making it difficult to select the best program for a specific application. In fact, modern codes (Fluent, Star-CCM+, COMSOL’s CFD Module, Altair’s AcuSolve and others) are collections of common building blocks and diagnostic tools helping users to develop their own application without having to start from scratch. Users will, therefore, need a basic knowledge of numerical methods.
The aim of this activity is to relate our experience in the development of a robust (the lowest number of problem-dependent components), efficient (close-to-optimal algorithmic complexity), and parallel (faster than the fastest sequential algorithm) computational technique for a black-box (de)coupled solution of multidimensional nonlinear (initial-)boundary value problems.
The presented results are of an applied nature and intended for specialists in the field of computational mathematics, mathematical modeling, and for software developers engaged in the simulation of physical and chemical processes for aircraft and space technologies and for power, chemical, and other branches of engineering.
About the Speaker:
Education：
2012 Doctor of Physical and Mathematical Sciences (specialty 05.13.18 – mathematical modeling, numerical methods and software packages)
2002 Candidate of Physical and Mathematical Sciences (specialty 05.13.18 – mathematical modeling, numerical methods and software packages) (Russian equivalent of Ph.D.)
1990–1994 Postgraduate study in Baranov Central Institute of Aviation Motors (Moscow)
1991–1993 Systems Engineer. Microprocessors and microprocessor systems, Bauman Moscow State Technical University
1987–1990 Mathematician. Applied mathematics, Lomonosov Moscow State University
1982-1988 Mechanical engineer. Machines and apparatus for air conditioning, Bauman Moscow High Technical School (now Bauman Moscow State Technical University).
Research Experience：
2020 Corresponding Member of the Russian Engineering Academy
2019-present Professor, Bauman Moscow State Technical University
2019-present Leading Researcher, Joint Institute for High Temperatures of the Russian Academy of Sciences
2015-present Senior Researcher, Federal Research Center for Problems of Chemical Physics and Medicinal Chemistry of the Russian Academy of Sciences
1988-2019 Researcher, Baranov Central Institute of Aviation Motors
Research Field：
● Mathematical modeling of physical and chemical processes
● High performance and parallel computing
● Multigrid methods
● Computational fluid dynamics, numerical heat transfer
● Aviation fuels and combustibles
Research Institute of Aero-Engine
School of Energy and Power Engineering
