Computational Mechanics (M-ENG CM)
This master program develops skills in advanced techniques in scientific computing at the interface between scientific disciplines for the modeling of mechanical engineering problems.
The courses cover the modeling and numerical simulation of complex mechanical systems (both fluid and solid) involving a possible coupling of different physics at different scales. The training is based on a global approach towards the issues associated with numerical modeling, from the construction of models and their discretization to the numerical resolution of discrete models, and to the mathematical analysis of models and approximation methods.The program of study lasts two academic years - denoted by M1 and M2. Computational Mechanics is one of four specialisms available within the Mechanical Engineering stream. The language of instruction is English across the two years.
Course Content - M1
30 ECTS Credits per semester.Language of instruction: English
M1 - Autumn Semester Courses
M1 - Spring Semester Courses
Probability and Statistics
Programming and Algorithms
Fluid Mechanics 2
Vibration and Differential Equations
Conferences and Initiation to Research
Course Content - M2
30 ECTS Credits per semester. Language of instruction: English
M2 - Autumn Semester Courses
M2 - Spring Semester
Computational Configurational Mechanics
Master Thesis or Industrial Internship
Computational methods for incompressible flows
Domain decomposition and iterative solvers
Extended Finite Element Method and level set techniques
Numerical methods for simulation of coupled problems
Numerical methods for uncertainty quantification
Physical modeling of fluids
NB Course content may be subject to minor changes
Examples of previous internships in the industry:
Optimization of mechanical modeling tools (Areva).
Numerical modeling of smart composite structures (Ifstarr).
Improved workpiece design loop structures in thermoplastics for the automobile industry.
Examples of previous internships in research labs:
Aerodynamic simulation of a wind turbine (LHEEA).
Development of optimization algorithms on tensor manifolds exploiting their fiber bundle structures (GeM Institute).
Numerical simulation of composite impregnation using reactive resin (Mines Albi).
Model solids and fluid flow problems.
Use advanced numerical and scientific techniques to discretize and solve mechanical problems.
Master the mathematical analysis of models and approximation methods.
In addition to the above specialism-specific skills, students will also develop more general skills:
Identify models, perform simulation and analyze results.
Communicate comprehensive results in a meaningful way.
Undertake bibliographic surveys of international research and professional literature.
Manage or be part of a project.
Prospects for employment or further study
Sectors: Aeronautics, Automotive, Transportation, Wind, and Marine Energy, Energy, Software, Consulting.
Fields: Mechanical Engineering, Design, Research and Innovation.
Positions: Computational Engineer, Mechanical Engineer, Research and Innovation Engineer (post Ph.D.)
Faculty and Research Facilities
This Master relies on the Centrale Nantes’ faculty, staff and research facilities of the GeM Institute, the Jean Leray laboratory, the LHEEA Laboratory, and the LS2N Institute.
Airbus, Renault, Faurecia, Solvay, IFREMER, CETIM.