| contributor author | Ehrett, Carl | |
| contributor author | Brown, D. Andrew | |
| contributor author | Chodora, Evan | |
| contributor author | Kitchens, Christopher | |
| contributor author | Atamturktur, Sez | |
| date accessioned | 2022-02-05T21:46:33Z | |
| date available | 2022-02-05T21:46:33Z | |
| date copyright | 10/28/2020 12:00:00 AM | |
| date issued | 2020 | |
| identifier issn | 1050-0472 | |
| identifier other | md_143_5_051702.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4276315 | |
| description abstract | Computer model calibration typically operates by fine-tuning parameter values in a computer model so that the model output faithfully predicts reality. By using performance targets in place of observed data, we show that calibration techniques can be repurposed for solving multi-objective design problems. Our approach allows us to consider all relevant sources of uncertainty as an integral part of the design process. We demonstrate our proposed approach through both simulation and fine-tuning material design settings to meet performance targets for a wind turbine blade. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Multi-Objective Engineering Design Via Computer Model Calibration | |
| type | Journal Paper | |
| journal volume | 143 | |
| journal issue | 5 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.4048216 | |
| journal fristpage | 051702-1 | |
| journal lastpage | 051702-10 | |
| page | 10 | |
| tree | Journal of Mechanical Design:;2020:;volume( 143 ):;issue: 005 | |
| contenttype | Fulltext | |