EG3021 - Applied Engineering Analysis
|Student Contribution Band:
||School of Engineering (pre 2015)
This subject introduces concepts in the application of Engineering analysis. Reliability-based
engineering designs and decision making based on statistical and probabilistic concepts
are covered. It also develops a framework in numerical methods for future use in finite
element, finite difference and computational modeling in engineering. This is taught
as an application-based subject, featuring problems from civil, mechanical, environmental
and chemical engineering. Reliability based Engineering Designs - Review of probability
and statistics, discrete and continuous distributions; Quality control and quality
assurance; Applications in engineering experiments and designs; Introduction to reliability
theory; Deterministic and probabilistic approaches in engineering analysis; Capacity
and demand models; Safety margin versus safety factors; reliability index, probability
of failure and risk. Engineering data analysis - Design of experiments and error analysis.
Modelling Uncertainly - Use of Monte Carlo simulation, point estimates, first order
second moment methods, Limit state designs. Computational Methods - Review of numerical
analysis techniques; Numerical methods for engineering applications; Computer programming
to solve engineering problems.
- Develop a framework for learning the basics of reliability-based designs;
- Use of statistical methods for data analysis;
- Develop an understanding of the uncertainties associated with engineering variables
and ways to manage them;
- Develop tools to quantify variability in starting materials and incorporate them into
sound engineering analysis;
- Gain a basic understanding in the application of numerical analysis techniques in
Study Period 2
|Census Date 28-Aug-2014
||<Person not found>
||<Person not found>, Assoc. Professor Shaun Belward.
- 65 hours - Lectures, tutorials, demonstrations, practicals, site visits and/or seminars. Refer
to Subject Outline for details.
||end of semester exam (50% - 70%); on-course, some of which may be invigilated (30% - 50%).
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest