UN0701 - Engineering Risk and Reliability
(2009 version)

This is the 2009 archive version of UN0701. The course is not currently in session.

Announcements

30.06.2009

Posted solutions to Problem Set 2.

20.06.2009

Posted the Final Exam.

09.06.2009

Posted solutions to Problem Set 1.

08.06.2009

Posted course notes for Modules 5 and 6.

08.06.2009

Posted *revised* Problem Set 2 and the CROW and Bayesian analysis spreadsheets from Module 4 in-class session (see additional information below).

06.06.2009

Posted Problem Set 2 and the MLE spreadsheet from Module 3 in-class session (see additional information below).

04.06.2009

Posted Data Set 5 to be used in the in-class exercises for Module 4.

29.05.2009

Posted course notes for Modules 3 and 4.  Also updated the course schedule.

06.05.2009

Posted Problem Set 1 and Excel spreadsheets from Module 1 and 2 in-class tutorials (see additional information below).

06.05.2009

Posted the Excel data files that are used in the in-class exercises.

16.04.2009

The first session for Summer 2009 will be held on May 2/3 (Sat/Sun) at the Durham College Skills Training Centre in Whitby, Room 1-6. The start time for the first day is 8:30 am.
See the schedule below.

NOTE: Please print the course notes prior to the first session.  Also, bring a laptop (with MS-Excel) to be used for the in-class exercises.  Please review the accompanying tutorial if you are not familiar with MS-Excel.

Directions to Durham College Whitby Campus: The Durham College Skills Training Centre is located at 1610 Champlain Avenue, Whitby, Ontario. See Google map.

Course Description

This course presents a broad treatment of the subject of engineering decision, risk, and reliability. Emphasis is on

  • the modelling of engineering problems and evaluation of systems performance under conditions of uncertainty;
  • risk-based approach to life-cycle management of engineering systems;
  • systematic development of design criteria, explicitly taking into account the significance of uncertainty; and
  • logical framework for risk assessment and risk-benefit tradeoffs in decision making.
The necessary mathematical concepts are developed in the context of engineering problems. The main topics of discussion are: probability theory, statistical data analysis, component and system reliability concepts, time-dependent reliability analysis, computational methods, life-cycle optimization models and risk management in public policy.

Prerequisite: Registration in the UNENE Joint M. Eng. Program
Lecturer: Dr. Mahesh Pandey, University of Waterloo (contact information)

Course Schedule

The course is divided into six separate modules delivered over three weekends:
Preliminary course schedule (pdf 20kb - REVISED)

  • Module 1: Fundamentals of Probability, May 2, 2009 (Saturday)
  • Module 2: Statistical Analysis, May 3, 2009 (Sunday)
  • Module 3: Functions of Random Variables, June 6, 2009 (Saturday)
  • Module 4: Reliability Analysis, June 7, 2009 (Sunday)
  • Module 5: System Reliability Analysis, June 20, 2009 (Saturday)
  • Module 6: Risk and Life Cycle Management, June 21, 2009 (Sunday)
  • Final Exam: to be completed by July 20, 2009.

Marking Scheme: Assignments 60%, Final Exam 40%

Course Notes

The reference material for the course consists of a textbook and lecture notes. Both the textbook and lecture notes are password protected. You will need to register in the course and contact the course assistant or UNENE to receive the passwords.

Lecture Notes

MS-Excel Tutorial

For those students who are unfamiliar with Microsoft Excel, please review the following tutorial prior to the first session.

Please contact the course assistant if you have any questions or experience any problems.

Problem Sets

  • Final Exam - Due date: July 20, 2009
    Please note that this is a take-home exam.  No consultation or group work is permitted.  Please submit your answers by July 20, 2009.
  • Problem Set 2 - Due date: June 28, 2009 (REVISED) Solutions
    Please note the revision to Problem Set 2 - Question 1, and the change in the due date.  In Q4(b), assume the bending moment at the fixed end A is Normally distributed.
  • Problem Set 1 - Due date: June 7, 2009 Solutions
    Please submit the assignment by the end of the next weekend session on June 6 and 7. Contact Mikko if you have any questions regarding the assignment.

Additional Information

  • Please download the following Excel data files to your laptop, memory stick, etc. to be used in the in-class exercises.
    data1.xls (30 Kb)
    data2.xls (35 Kb)
    data3.xls (18 Kb)
    data4.xls (37 Kb)
    data5.xls (31 Kb)
  • ppp.xls - Probability paper plotting using the concrete strength data.
  • MCS.xls - Monte Carlo simulation example for the load versus capacity problem.
  • MLE.xls - Example of Maximum Likelihood Estimation (MLE) method.
  • CROW.xls - Example of CROW-AMSAA analysis.
  • Bayes.xls - Example of Bayesian analysis of failure rate using a discrete prior distribution.

References

The main reference for the course will be the textbook on Engineering Risk and Reliability and our lecture notes . Additional references for the course are as follows:

  • Any Probability and Statistics textbook used in an engineering program (typically at second year level).
  • Ang, A.H-S. and W.H. Tang. 1975. Probability Concepts in Engineering Planning and Design, Volume I - Basic Principles. John Wiley & Sons, New York.
  • Ang, A.H-S. and W.H. Tang. 1984. Probability Concepts in Engineering Planning and Design, Volume II - Decision, Risk, and Reliability. John Wiley & Sons, New York.
  • Benjamin, J.R. and C.A. Cornell. 1970. Probability, Statistics, and Decision for Civil Engineers. McGraw-Hill, New York.
  • Fullwood, R.R. and R.E. Hall. 1988. Probabilistic Risk Assessment in the Nuclear Power Industry: Fundamentals & Applications. Pergamon Press, Oxford.
  • McCormick, N.J. 1981. Reliability and Risk Analysis: Methods and Nuclear Power Applications. Academic Press, New York.
  • Melchers, R.E. 1999. Structural Reliability Analysis and Prediction (2nd ed.). John Wiley & Sons, Chichester.

 

 
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Items of Interest

The 2005 and 2007 versions of this course are maintained for archival and reference purposes.

Be sure to read about the Academic Integrity Policy.