| contributor author | Prasad Samarajiva | |
| contributor author | Emir Jose Macari | |
| contributor author | Wije Wathugala | |
| date accessioned | 2017-05-08T21:31:50Z | |
| date available | 2017-05-08T21:31:50Z | |
| date copyright | September 2005 | |
| date issued | 2005 | |
| identifier other | %28asce%291532-3641%282005%295%3A3%28206%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/55012 | |
| description abstract | This paper presents a study that uses an innovative numerical method called the “genetic algorithm” for material parameter optimization in constitutive modeling. The paper introduces a new scheme, a fitness function, to estimate the error of predicted behavior due to a given set of material parameters. Optimization efficiency of the proposed fitness function is analyzed by changing the selected genetic algorithm parameters. The genetic algorithm and the new fitness function were found to be capable of optimizing material parameters of complex constitutive models. | |
| publisher | American Society of Civil Engineers | |
| title | Genetic Algorithms for the Calibration of Constitutive Models for Soils | |
| type | Journal Paper | |
| journal volume | 5 | |
| journal issue | 3 | |
| journal title | International Journal of Geomechanics | |
| identifier doi | 10.1061/(ASCE)1532-3641(2005)5:3(206) | |
| tree | International Journal of Geomechanics:;2005:;Volume ( 005 ):;issue: 003 | |
| contenttype | Fulltext | |