Numerical optimization applying trust-region reflective least squares algorithm with constraints to optimize the non-linear creep parameters of soft soil
| Autor: | Hadi Khabbaz, Behzad Fatahi, Wenjing Sun, Thu Minh Le |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Least mean square algorithm
Engineering Trust region Consolidation (soil) business.industry Settlement (structural) Applied Mathematics 0211 other engineering and technologies Model parameters 02 engineering and technology Nonlinear system Pore water pressure 020303 mechanical engineering & transports 0203 mechanical engineering Creep Modeling and Simulation Mechanical Engineering & Transports Applied mathematics business Simulation 021101 geological & geomatics engineering |
| Zdroj: | Applied Mathematical Modelling. 41:236-256 |
| ISSN: | 0307-904X |
| DOI: | 10.1016/j.apm.2016.08.034 |
| Popis: | Determination of the creep model parameters is a challenging task particularly when a non-linear elastic visco-plastic (EVP) model is adopted, mainly due to the limited test duration as well as the assumption of the reference time. Therefore, this paper presents an innovative numerical solution to find the EVP model parameters applying the trust-region reflective least square optimization algorithm. The developed approach involves several available laboratory consolidation test results in the optimization procedure with the adopted commencing time to creep as a unit of time. In this paper, the laboratory results of Ottawa clay were employed to demonstrate the limitation of the recent method to obtain model parameters. Furthermore, the developed method is verified against Ska-Edeby clay in the laboratory conditions. The EVP model parameters are obtained by applying the developed method to the available laboratory consolidation results of clay samples. The analysis results of vertical strains and excess pore water pressures demonstrate that the developed method can be a feasible tool to estimate the settlement properties of clays. |
| Databáze: | OpenAIRE |
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