Date of Award
Summer 2006
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mechanical & Aerospace Engineering
Program/Concentration
Mechanical Engineering
Committee Director
Gene Hou
Committee Member
Duc NT. guyen
Committee Member
Han P. Bao
Call Number for Print
Special Collections; LD4331.E56 T57 2006
Abstract
Modem products ranging from simple components to complex systems should be designed to be optimal and reliable. The challenge of modem engineering is to ensure that manufacturing costs are reduced and design cycle times are minimized while achieving requirements for performance and reliability. If the market for the product is competitive, improved quality and reliability can generate very strong competitive advantages. Reliability based design optimization plays a very important role in designing almost any kind of product. This investigation focuses on the development of the hybrid PMNRIA approach which uses the active-in-reliability concept for reliability based design optimization. The efficiency and the accuracy of the proposed approach will be compared with a standard PMA approach. Two practical examples, a cantilever beam and a 10-bar truss system, are used here to facilitate the comparison.
In reliability based design optimization, the weight of the structure is optimized subject to prescribed probabilistic constraints. A sequential quadratic programming technique called Linearization Method is employed here to support all reliability based design optimization procedures. The method uses a linearization sub-problem and a line search algorithm to determine the search direction and the step size, respectively.
For both example problems, the standard PMA approach is more efficient than the hybrid PMNRIA approach.
Rights
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DOI
10.25777/qmbg-8w33
Recommended Citation
Tipnis, Akhil R..
"Most Probable Point-Based Design Optimization"
(2006). Master of Science (MS), Thesis, Mechanical & Aerospace Engineering, Old Dominion University, DOI: 10.25777/qmbg-8w33
https://digitalcommons.odu.edu/mae_etds/715
Included in
Mechanical Engineering Commons, Systems Engineering and Multidisciplinary Design Optimization Commons