Partial differential equations and their classification; boundary and initial conditions; analytical solution methods. Introduction to computational solution techniques and packages in solid mechanics (FEM), fluid dynamics (CFD) and heat/mass transfer.
To extend students’ exposure to, and understanding of the significance and solution of differential equations by adding partial differential equations (PDEs) to the already-familiar ordinary differential equations. Based on this mathematical understanding of PDEs, students will then become familiar with the underlying principles of the numerical solution techniques of these same equations that are utilised in commonly-employed computational packages such as COMSOL, used not in a “black box” manner but, rather, with an appreciation of the underlying mathematics and numerical techniques that are embedded within them. This understanding of computational methods will be further augmented by the students’ own development and implementation of standard algorithms for numerical solution of PDEs.
On successful completion of this course students will be able to:
- Recognise and classify the different types of partial differential equations (elliptic, parabolic and hyperbolic)
- Recognise and apply, as appropriate, Dirichlet and Neumann boundary conditions (and, for unsteady state, initial conditions)
- Use separation of variables solution method where applicable
- Apply Laplace transforms in the solution of the diffusion equation
- Understand and apply D’Alembert solution and characteristics
- Understand and appreciate the essential components of the PDE models for classical mechanical systems: steady and transient heat transfer; potential and transient flow; elastic bending and waves.
- Confidently apply standard analytic solution methods to the classical PDEs used in mechanical analysis.
- Appreciate properties and limitations of any numerical solution method: accuracy, consistency, convergence
- Recognise and apply different numerical solution terminology and techniques: Spatial discretization; finite differences; weighted residual methods; polynomial interpolating/weighting functions; finite element methods; finite volumes
- Understand the strategies used in coding computational methods to maximize efficiency and minimize processing time.
- Productively and confidently use generic computational packages (e.g. COMSOL) in the solution of “real world” problems in solid mechanics, fluid flow, and heat or mass transfer
- Appreciate both the benefits and the limitations of such packages by comparison of numerical solutions with analytical solutions in situations where this is possible.
Course Coordinator / Lecturer
11 Aug 2016
12 Sep 2016
11 Oct 2016
Advanced modern engineering mathematics;
Prentice Hall, 2011.
Patankar, Suhas V;
Numerical heat transfer and fluid flow;
Hemisphere Pub. Corp ; McGraw-Hill, 1980.
Zienkiewicz & Taylor;
The Element Model for Solid and Structural Mechanics;
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
All ENME302 Occurrences
Semester Two 2016