ME-414 / 5 crédits

Enseignant:

Langue: Anglais

Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.

Remark: pas donné en 2020-21


Summary

This course considers the multi-scale computational modeling of hard-matter systems, with an emphasis on the physical phenomena of matter transport and emergent macroscopic mechanical properties, and how their microscopic origin is coarse grained to the engineering scale of a material component.

Content

Keywords

material properties, mass transport, plasticity and strength, multi-scale modelling, numerical algorithms, scientific software and hardware computational frameworks, parallel computing.

Learning Prerequisites

Important concepts to start the course

  • Fick’s law of diffusion
  • The stress-strain characteristics of hard matter (elasticity, transition to yield, and plastic flow).
  • Partial differential equations and their numerical solution.
  • Knowledge of a traditional procedural scientific programming language such as Fortran and C.

Learning Outcomes

By the end of the course, the student must be able to:

  • Apply an appropriate numerical method for multiphysics simulations to a complex physics problem
  • Choose suitable methods and tools for (a) the development of, (b) the modelling and simulation of, (c) the analysis of and (d) the choice of solution for an engineering problem in the mechanical engineering domain (product design, manufacturing process and system production)
  • Model the defined problem based on the geometric, kinematic / dynamic, material assumptions while choosing suitable numerical and analytical tools followed by the experimental validation.
  • Apply , adapt and synthesize learned engineering skills to create novel solutions
  • Derive a finite element formulation from the differential equations in strong form
  • Explain and apply the concepts of mass, energy, and momentum balance
  • Explain and apply the concepts of heat and mass transfer
  • Apply the finite element method to realize a complete study of a real problem

Transversal skills

  • Plan and carry out activities in a way which makes optimal use of available time and other resources.
  • Set objectives and design an action plan to reach those objectives.
  • Assess progress against the plan, and adapt the plan as appropriate.
  • Use a work methodology appropriate to the task.
  • Communicate effectively with professionals from other disciplines.
  • Give feedback (critique) in an appropriate fashion.
  • Evaluate one's own performance in the team, receive and respond appropriately to feedback.
  • Manage priorities.

Teaching methods

Lectures and practical tutorials will constitute traditional content covering core theoretical concepts and interactive content covering practical use of computational modelling frameworks. It is envisioned that no more than 50% of classroom time, will be spent this way, distributed heterogeneously over the entire semester.

The remaining time will be devoted to project work, involving teams of about four students, focused on a particular engineering/physical problem, and its appropriate numerical solution.

 

Expected student activities

  • Attendance to lectures
  • Learning of python and the use of at least one other specialized computational modelling platform
  • Team work to solve a problem and present it as a lecture or practical tutorial
  • To have an articulated role and responsibility within the team.

Assessment methods

The project work outcome will lead to a student developed and presented lecture or practical tutorial content. Assessement will be based on this content and the individual's contribution to it.

Dans les plans d'études

  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Computational multi-scale modeling of solids
  • Cours: 3 Heure(s) hebdo x 14 semaines
  • TP: 1 Heure(s) hebdo x 14 semaines
  • Semestre: Printemps
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Computational multi-scale modeling of solids
  • Cours: 3 Heure(s) hebdo x 14 semaines
  • TP: 1 Heure(s) hebdo x 14 semaines
  • Forme de l'examen: Pendant le semestre (session d'été)
  • Matière examinée: Computational multi-scale modeling of solids
  • Cours: 3 Heure(s) hebdo x 14 semaines
  • TP: 1 Heure(s) hebdo x 14 semaines

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22