Current Status:
It has been decided to start with a series of seminars to be delivered by both the sides and with live interaction. We have the connectivity from ERNET for lecture delivery.
Live lecture from the French partner is scheduled on 2nd of November 2006, at 3.30pm by
Stephane Zaleski
titled "Free surfaces in 3D by Volume of Fluid Method".
Another lecture is scheduled from IIT Kanpur on 5th December 2006, at 3.30pm by Prof. Gautam Biswas titled "
Some Aspects of Mathematical Modeling of Turbulent Flows" .
History:
In 2001 a virtual university was opened between IISc Bangalore and the University Paul Sabatier in Toulouse. It is currently in operation for courses in applied mathematics. The Council of Ficus met in Paris in January 2004 and proposed to extend the program in aerospace between IIT-Kanpur and a French University; the Université Pierre et Marie Curie (Paris VI) is candidate.
Courses:
The courses will be delivered live to and from France with interactivity. The two sides have agreed to deliver the following courses in the area of Aerospace Engineering:
| High Performance Computing for Fluid Flows |
- Mesh generation and adaptation, boundary fitted and non boundary fitted
- Turbulent flows LES-RANS techniques or Advance algorithms for free surface flow
- Parallel computing, MPI, iterative solvers, domain decomposition
- Applications: examples/case studies (transition to turbulence, vortex induced oscillation etc), validations
|
| Evolutionary algorithms. Applications to fluid mechanics |
- Fundamentals of stochastic optimization methods (simulated annealing, GA, ES)
- Shape optimization of a 2D wing
- Multi objective optimization. Theory and computational implementation.
- Optimal control of a cylinder drag by rotation
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Neural networks and metamodels for optimization |
- Introduction of various neural networks models
- Various application of ANN and software implementation
- Construction of metamodels with neural networks
- Application to complex optimization problems
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| Deterministic and semi-deterministic optimization |
- Classical optimization methods, constrained and unconstrained optimization methods.
- Software implementation of the previous methods. Applications to fluid mechanics
- Semi-derministic methods (BMO)
- Software implementation of the previous methods. Applications to fluid mechanics
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| Composite Material Analysis
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- Introduction, definition, classification, behavior of unidirectional composites.
- Tensors preliminaries.
- Green's theorem.
- Transport Theorem.
- Fundamentals of continuum mechanics: deformation gradients, electro-statics
- conservation laws and thermodynamic principles, constitutive modeling.
- Composite modeling, effective material property for laminate.
- Analysis of laminate plates and shell
|
| Introduction to the theory of smart structures |
- Introduction to smart materials: piezo-pyro-ferro electric effects
- Electro-thermo-elastic formulation.
- Analysis of smart structure: approximate methods.
- Shape control.
- Aerospace applications
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