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. © 2011 ASCE.
Recommended Citation
M. Deng and L. Ge, "Effectiveness of Objective Functions in Soil Model Calibration through Numerical Optimization," Geotechnical Special Publication, no. 211 GSP, pp. 3878 - 3886, American Society of Civil Engineers, May 2011.
The definitive version is available at https://doi.org/10.1061/41165(397)396
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Calibration; Models; Optimization; Soil properties
International Standard Book Number (ISBN)
978-078441165-0
International Standard Serial Number (ISSN)
0895-0563
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Civil Engineers, All rights reserved.
Publication Date
27 May 2011
