PX920-10 Micromechanics of Materials
Introductory description
N/A.
Module aims
Provide students with understanding and practical aspects of homogenisation methods for predicting overall macroscopic response of heterogeneous solids with nonlinear material constituents through lectures, case studies and computer-lab (workshop) activities.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Topic 1: Fundamentals of Nonlinear Solid Mechanics
a. Theory of finite deformations - brief recap
b. Nonlinear constitutive equations (e.g. hyperelasticity, plasticity, viscoplasticity)
i) Phenomenological
ii) Physically-based
iii) Data-driven
Topic 2: Methods for predicting macroscopic properties of nonlinear heterogeneous solids
a. Mean-field approaches
i) Self-consistent methods
ii) Mori-Tanaka methods
b. Homogenisation
i) Homogenisation for linear periodic heterogeneous materials
ii) Homogenisation for nonlinear periodic heterogeneous materials
Topic 3: Extensions to multi-physics problems in nonlinear heterogeneous solids
a. Mean-field approaches
b. Homogenisation
Learning outcomes
By the end of the module, students should be able to:
- Understand sources of material nonlinearity.
- Be familiar with common constitutive models.
- Be able to implement nonlinear constitutive models into nonlinear solution process.
- Understand the concept of homogenisation.
- Apply a nonlinear mean-field approach to a simple problem.
- Be able to design and implement a simple two-scale nonlinear simulation process.
Indicative reading list
[1] J. Fish, Practical Multiscaling, Wiley, 2013.
[2] S. Torquato, Random heterogeneous materials: Microstructure and Macroscopic Properties. Springer, 2002.
Subject specific skills
Understand sources of material nonlinearity
Be familiar with common constitutive models
Be able to implement nonlinear constitutive models into nonlinear solution process
Understand the concept of homogenisation
Apply a nonlinear mean-field approach to a simple problem
Be able to design and implement a simple two-scale nonlinear simulation process
Transferable skills
Programming, data analysis, problem-solving
Study time
Type | Required |
---|---|
Lectures | 6 sessions of 2 hours (12%) |
Practical classes | 2 sessions of 2 hours (4%) |
Private study | 69 hours (69%) |
Assessment | 15 hours (15%) |
Total | 100 hours |
Private study description
Reading etc
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D1
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Computational Project | 60% | 10 hours | No |
One piece of assessed work based on the numerical implementation of homogenisation procedure. |
|||
Viva voce Exam | 40% | 5 hours | No |
30 minutes. |
Feedback on assessment
Written annotations to submitted computational notebooks \r\nVerbal discussion during viva voce exam \r\nWritten summary of viva performance
There is currently no information about the courses for which this module is core or optional.