| contributor author | Ping (Christine) Ge | |
| contributor author | Nancy Wang | |
| contributor author | Stephen C-Y. Lu | |
| date accessioned | 2017-05-09T00:06:57Z | |
| date available | 2017-05-09T00:06:57Z | |
| date copyright | September, 2002 | |
| date issued | 2002 | |
| identifier issn | 1530-9827 | |
| identifier other | JCISB6-25918#141_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/126452 | |
| description abstract | Surrogate models play an important role in improving design productivity and discovering knowledge at early design stage. In this paper, a preliminary version of an E_volutionary M_odeling A_pproach (EMA) is presented to generate surrogate models for highly nonlinear system with a large design space and limited resources. Through an evolutionary process, less accurate surrogate models gradually evolve into more accurate ones as the quality of the sampling data set is improved. Its use is demonstrated through an application at the early stage of automotive bumper system design and analysis. The results are verified by both FEA and physical test data. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | An Evolutionary Modeling Approach for Automotive Bumper System Design and Analysis | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 3 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.1529212 | |
| journal fristpage | 141 | |
| journal lastpage | 149 | |
| identifier eissn | 1530-9827 | |
| keywords | Design | |
| keywords | Modeling AND Project tasks | |
| tree | Journal of Computing and Information Science in Engineering:;2002:;volume( 002 ):;issue: 003 | |
| contenttype | Fulltext | |
