Inverse Hardening Soil Parameter Identification of an Earth and Rockfill Dam by Genetic Algorithm Optimization
2014 (English)In: The Electronic journal of geotechnical engineering, ISSN 1089-3032, E-ISSN 1089-3032, Vol. 19, no N, 3327-3349 p.Article in journal (Refereed) Published
This paper presents a study of identification of constitutive parameter values in the Hardening soil model by inverse analysis of an earth and rockfill dam application. The authors have experience from a previous study on the same case with the Mohr-Coulomb model. The objective of this research is to examine if the inverse analysis technique can be successfully used for this type of application and choice of constitutive model. The values of soil parameters are determined based on horizontal deformations obtained from installed instrumentations in the dam. The quantities that are monitored in the dam can be numerically predicted by a finite element simulation. In inverse analysis, constitutive parameter values are chosen in such a way that the error between data recorded by measurements in the dam and numerical simulation is minimized. An optimization method based on the genetic algorithm was applied to search for the minimum error in the search domain in this study. Optimizations have initially been performed in a large search domain in order to find a criterion identifying the best solutions. Thereafter, the optimizations were limited to this criterion in order to find the best set of solutions close to the optimum point. Moreover, the error function topology and smoothness was examined as well. It was overall concluded, that the inverse analysis technique could be effectively used for earth and rockfill dam applications, despite the fact that the technique is expensive in terms of computational time.
Place, publisher, year, edition, pages
2014. Vol. 19, no N, 3327-3349 p.
Research subject Soil Mechanics
IdentifiersURN: urn:nbn:se:ltu:diva-3770Local ID: 1996780b-18a7-4aff-b9bd-8feb2fddf0a2OAI: oai:DiVA.org:ltu-3770DiVA: diva2:976631
Validerad; 2014; 20140527 (hmat)2016-09-292016-09-29Bibliographically approved