Efficient sequential reliability-based design optimization with adaptive kriging inverse reliability analysis
Abstract/Contents
- Abstract
- In this thesis, new methods for reliability-based design optimization (RBDO) are presented. The Adaptive Kriging Inverse Reliability Analysis (AKIRA) algorithm and a multifidelity sequential RBDO algorithm are introduced and demonstrated on a complex multidisciplinary supersonic nozzle design problem. AKIRA demonstrates competitive performance with other reliability analysis algorithms while also benefiting from the solution of the inverse reliability analysis problem during RBDO. The proposed sequential RBDO algorithm mitigates the cost of solving the RBDO problem by decoupling the optimization and reliability analyses, thereby reducing its solution to a series of deterministic optimizations. The method is motivated by anchored decomposition, has guaranteed convergence inherited from trust region methods, and is shown in certain cases to be a generalization of existing sequential RBDO methods. It also derives enhanced efficiency by incorporating lower-fidelity models when available. The final demonstration of the proposed algorithms on an industrial-type problem, the supersonic nozzle, shows that the solution of RBDO problems for complex realistic engineering applications is well within reach.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Fenrich, Richard Walter |
|---|---|
| Degree supervisor | Alonso, Juan José, 1968- |
| Thesis advisor | Alonso, Juan José, 1968- |
| Thesis advisor | Iaccarino, Gianluca |
| Thesis advisor | Kochenderfer, Mykel J, 1980- |
| Degree committee member | Iaccarino, Gianluca |
| Degree committee member | Kochenderfer, Mykel J, 1980- |
| Associated with | Stanford University, Department of Aeronautics and Astronautics. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Richard Walter Fenrich. |
|---|---|
| Note | Submitted to the Department of Aeronautics and Astronautics. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Richard Walter Fenrich
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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