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Multi-objective analysis of the Sand Hypoplasticity model calibration
https://orcid.org/http://orcid.org/0000-0002-3899-1685
The Sand Hypoplastic (SH) constitutive law by von Wolffersdorff (1996) is a widely used hypoplastic model for soil mechanics. This model includes eight parameters, usually calibrated using the oedometric (OE) and the drained isotropically consolidated triaxial tests (CD). However, previous studies show that the SH models calibration in the CD test has conflicting requirements in predicting the evolution of stresses and strains. In this work, we study the SH model calibration over a wide range of testing conditions using 12 OE and 25 CD tests by Wichtmann and Triantafyllidis (2016) on the Karlsruhe sands. The parameter space is extensively explored via genetic algorithm optimization (GA) using the recently developed open-source software GA-cal (available at https://github.com/FraJoMen/GA-cal). This exploration allowed us to study the SH model’s predictive limits and to identify, using a multi-objective analysis, the main parameters governing the compromise between the accurate prediction of stresses versus strain in the CD tests.
Multi-objective analysis of the Sand Hypoplasticity model calibration
https://orcid.org/http://orcid.org/0000-0002-3899-1685
The Sand Hypoplastic (SH) constitutive law by von Wolffersdorff (1996) is a widely used hypoplastic model for soil mechanics. This model includes eight parameters, usually calibrated using the oedometric (OE) and the drained isotropically consolidated triaxial tests (CD). However, previous studies show that the SH models calibration in the CD test has conflicting requirements in predicting the evolution of stresses and strains. In this work, we study the SH model calibration over a wide range of testing conditions using 12 OE and 25 CD tests by Wichtmann and Triantafyllidis (2016) on the Karlsruhe sands. The parameter space is extensively explored via genetic algorithm optimization (GA) using the recently developed open-source software GA-cal (available at https://github.com/FraJoMen/GA-cal). This exploration allowed us to study the SH model’s predictive limits and to identify, using a multi-objective analysis, the main parameters governing the compromise between the accurate prediction of stresses versus strain in the CD tests.
Multi-objective analysis of the Sand Hypoplasticity model calibration
https://orcid.org/http://orcid.org/0000-0002-3899-1685
The Sand Hypoplastic (SH) constitutive law by von Wolffersdorff (1996) is a widely used hypoplastic model for soil mechanics. This model includes eight parameters, usually calibrated using the oedometric (OE) and the drained isotropically consolidated triaxial tests (CD). However, previous studies show that the SH models calibration in the CD test has conflicting requirements in predicting the evolution of stresses and strains. In this work, we study the SH model calibration over a wide range of testing conditions using 12 OE and 25 CD tests by Wichtmann and Triantafyllidis (2016) on the Karlsruhe sands. The parameter space is extensively explored via genetic algorithm optimization (GA) using the recently developed open-source software GA-cal (available at https://github.com/FraJoMen/GA-cal). This exploration allowed us to study the SH model’s predictive limits and to identify, using a multi-objective analysis, the main parameters governing the compromise between the accurate prediction of stresses versus strain in the CD tests.
Multi-objective analysis of the Sand Hypoplasticity model calibration
Acta Geotech.
Mendez, Francisco J. (author) / Mendez, Miguel A. (author) / Sciarra, Nicola (author) / Pasculli, Antonio (author)
Acta Geotechnica ; 19 ; 4241-4254
2024-07-01
14 pages
Article (Journal)
Electronic Resource
English
Automatic calibration , Genetic algorithms , Hypoplasticity , Nonlinear regression , Numerical optimization Engineering , Geoengineering, Foundations, Hydraulics , Solid Mechanics , Geotechnical Engineering & Applied Earth Sciences , Soil Science & Conservation , Soft and Granular Matter, Complex Fluids and Microfluidics
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