| contributor author | Bichon, Barron J. | |
| contributor author | Eldred, Michael S. | |
| contributor author | Mahadevan, Sankaran | |
| contributor author | McFarland, John M. | |
| date accessioned | 2017-05-09T01:00:46Z | |
| date available | 2017-05-09T01:00:46Z | |
| date issued | 2013 | |
| identifier issn | 1050-0472 | |
| identifier other | md_135_1_011009.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/152462 | |
| description abstract | Determining the optimal (lightest, least expensive, etc.) design for an engineered component or system that meets or exceeds a specified level of reliability is a problem of obvious interest across a wide spectrum of engineering fields. Various formulations and methods for solving this reliabilitybased design optimization problem have been proposed, but they typically involve accepting a tradeoff between accuracy and efficiency in the reliability analysis. This paper investigates the use of the efficient global optimization and efficient global reliability analysis methods to construct surrogate models at both the design optimization and reliability analysis levels to create methods that are more efficient than existing methods without sacrificing accuracy. Several formulations are proposed and compared through a series of test problems. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Efficient Global Surrogate Modeling for Reliability Based Design Optimization | |
| type | Journal Paper | |
| journal volume | 135 | |
| journal issue | 1 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.4022999 | |
| journal fristpage | 11009 | |
| journal lastpage | 11009 | |
| identifier eissn | 1528-9001 | |
| tree | Journal of Mechanical Design:;2013:;volume( 135 ):;issue: 001 | |
| contenttype | Fulltext | |
