Effectiveness of objective functions in soil model calibration through numerical optimization
Journal
Geotechnical Special Publication
Journal Issue
211 GSP
Pages
3878-3886
Date Issued
2011
Author(s)
Deng, M.
Abstract
When a conventional method such as linear regression is insufficient to identify the constants and parameters of an advanced constitutive model, numerical optimization techniques are often being used. In employing numerical optimization to constitutive model calibration, an objective function essentially needs to be formulated in such way that the difference between the measured and computed data points is quantified. When a minimum value of the objection function is obtained, the corresponding variables are the optimized model constants and parameters. In this paper, a modified Cam-Clay model is calibrated against laboratory data. Three objective functions are proposed in different forms to evaluate the effectiveness of numerical optimization model calibration by DIRECT method.
SDGs
Type
conference paper