Full metadata
Title
Reliability based design optimization of systems with dynamic failure probabilities of components
Description
This research is to address the design optimization of systems for a specified reliability level, considering the dynamic nature of component failure rates. In case of designing a mechanical system (especially a load-sharing system), the failure of one component will lead to increase in probability of failure of remaining components. Many engineering systems like aircrafts, automobiles, and construction bridges will experience this phenomenon.
In order to design these systems, the Reliability-Based Design Optimization framework using Sequential Optimization and Reliability Assessment (SORA) method is developed. The dynamic nature of component failure probability is considered in the system reliability model. The Stress-Strength Interference (SSI) theory is used to build the limit state functions of components and the First Order Reliability Method (FORM) lies at the heart of reliability assessment. Also, in situations where the user needs to determine the optimum number of components and reduce component redundancy, this method can be used to optimally allocate the required number of components to carry the system load. The main advantage of this method is that the computational efficiency is high and also any optimization and reliability assessment technique can be incorporated. Different cases of numerical examples are provided to validate the methodology.
In order to design these systems, the Reliability-Based Design Optimization framework using Sequential Optimization and Reliability Assessment (SORA) method is developed. The dynamic nature of component failure probability is considered in the system reliability model. The Stress-Strength Interference (SSI) theory is used to build the limit state functions of components and the First Order Reliability Method (FORM) lies at the heart of reliability assessment. Also, in situations where the user needs to determine the optimum number of components and reduce component redundancy, this method can be used to optimally allocate the required number of components to carry the system load. The main advantage of this method is that the computational efficiency is high and also any optimization and reliability assessment technique can be incorporated. Different cases of numerical examples are provided to validate the methodology.
Date Created
2016
Contributors
- Bala Subramaniyan, Arun (Author)
- Pan, Rong (Thesis advisor)
- Askin, Ronald (Committee member)
- Ju, Feng (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vi, 56 pages : illustrations
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.38628
Statement of Responsibility
by Arun Bala Subramaniyan
Description Source
Viewed on July 18, 2016
Level of coding
full
Note
thesis
Partial requirement for: M.S., Arizona State University, 2016
bibliography
Includes bibliographical references (pages 50-56)
Field of study: Industrial engineering
System Created
- 2016-06-01 08:52:41
System Modified
- 2021-08-30 01:23:33
- 3 years 2 months ago
Additional Formats