Dr.
Ravi C. Penmetsa
Room: 227 Russ Engineering Center
Phone: 775-5089
E-mail:
pravi@cs.wright.edu
Web Page:
http://www.wright.edu/~ravi.penmetsa
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Office
Hours:
Distributed during the first day of
class.
Feel free to contact me should you have
ANY questions or concerns. Also note that
you will get a quicker response by email
than by any other mode of communication.
Prerequisites:
ME 612
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Text
Mainly class notes and "Grandhi & Wang,
Structural Reliability Analysis and Optimization :
Use of Approximations, NASA Report, 300 Pages"
List of References
-
Achintya Haldar (Author), and
Sankaran Mahadevan (Author), "Probability,
Reliability, and Statistical Methods in
Engineering Design" John Wiley & Sons, 1999
-
Melchers, R. E., "Structural
Reliability: Analysis and Prediction," John Wiley
& Sons, 1985
-
Rao, S. S., "Reliability Based
Design," McGraw Hill, 1992
Course Outline
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1
|
Fundamentals of Structural Reliability
Theory
- Factor of safety and reliability
- Modeling uncertainty
- Random variable distributions
- Uncertainties in the design process
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2 |
Integration and Simulation Methods
- Multivariate normal integral
- Monte Carlo simulation
- Computational issues for large-scale
structures
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3 |
Second-moment and Transformation Methods
- First-order second moment method
- Safety index approach
- Most probable failure point, multiple
MPP
- Approximation of limit state function
- Nonlinear adaptive approximations
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4 |
Reliability of Structural Systems
- Response surface approach
- Fast Fourier Transformation approach
- Series and parallel systems
- System reliability formulation
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Grade Distribution
| 1
|
Homework |
33
% |
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2 |
Midterm Exam
|
33 % |
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3 |
Final
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33
% |
Final Project
The goal of the final
project is to demonstrate efficiency and accuracy
of any particular reliability analysis method on a
practical problem. Select a problem that is
related to your research interests and apply
reliability analysis techniques. Remember that
project constitutes to 33% of the grade so provide
enough information. DO NOT SUBMIT A ONE PAGE REPORT
and expect to pass in this class. The project
needs to meet some basic requirements.
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At least six random variables
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Implicit limit-state functions
(FEM, CFD, etc.)
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Combination of Normal and
Non-Normal distributions
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Demonstrate one of the advances
concepts learned in the class, such as, adaptive
approximations, FFT, or response surface approach
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