Soil parameter identification using a genetic algorithm
This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds...
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| Published in | International journal for numerical and analytical methods in geomechanics Vol. 32; no. 2; pp. 189 - 213 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article Web Resource |
| Language | English |
| Published |
Chichester, UK
John Wiley & Sons, Ltd
10.02.2008
Wiley John Wiley & Sons |
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| Online Access | Get full text |
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| Abstract | This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is
complex. Copyright © 2007 John Wiley & Sons, Ltd. |
|---|---|
| AbstractList | Abstract
This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from
in situ
geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is
complex. Copyright © 2007 John Wiley & Sons, Ltd. This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is complex. Copyright © 2007 John Wiley & Sons, Ltd. This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is complex. This paper is dedicated to the identification of constitutive parameters of the Mohr-Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is complex. This paper is dedicated to the identification of constitutive parameters of the Mohr-Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is complex. Copyright © 2007 John Wiley & Sons, Ltd. |
| Author | Malécot, Y. Boulon, M. Levasseur, S. Flavigny, E. |
| Author_xml | – sequence: 1 givenname: S. surname: Levasseur fullname: Levasseur, S. email: severine.levasseur@hmg.inpg.fr organization: Laboratory 'Sols, Solides, Structures', University Joseph Fourier-Grenoble I, CNRS UMR 5521, BP 53, 38041 Grenoble Cedex 9, France – sequence: 2 givenname: Y. surname: Malécot fullname: Malécot, Y. organization: Laboratory 'Sols, Solides, Structures', University Joseph Fourier-Grenoble I, CNRS UMR 5521, BP 53, 38041 Grenoble Cedex 9, France – sequence: 3 givenname: M. surname: Boulon fullname: Boulon, M. organization: Laboratory 'Sols, Solides, Structures', University Joseph Fourier-Grenoble I, CNRS UMR 5521, BP 53, 38041 Grenoble Cedex 9, France – sequence: 4 givenname: E. surname: Flavigny fullname: Flavigny, E. organization: Laboratory 'Sols, Solides, Structures', University Joseph Fourier-Grenoble I, CNRS UMR 5521, BP 53, 38041 Grenoble Cedex 9, France |
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| Keywords | Constitutive equation Property of soil Identification genetic algorithms Optimization Inverse problem Excavations Finite element method Genetic algorithm excavation Pressuremeter Objective function inverse analysis Gradient method pressuremeter test Geotechnics parameter identification constitutive equation sheet piled wall Genetic algorithms genetic algorithm soil property finite element method Soil parameter in situ measurement displacement Coulomb criterion retaining wall geotechnical property topology Error function Excavation Mohr theory Soils Piles pressuremeter Constitutive models Pressure measurement Retaining walls |
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| Snippet | This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from in situ geotechnical measurements. A... Abstract This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from in situ geotechnical... This paper is dedicated to the identification of constitutive parameters of the Mohr-Coulomb constitutive model from in situ geotechnical measurements. A... This paper is dedicated to the identification of constitutive parameters of the Mohr–Coulomb constitutive model from in situ geotechnical measurements. A... |
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| SubjectTerms | Applied sciences Buildings. Public works Civil engineering Computation methods. Tables. Charts Engineering Sciences Engineering, computing & technology Exact sciences and technology excavation finite element method genetic algorithms Geotechnics Ingénierie civile Ingénierie, informatique & technologie inverse analysis Mechanics objective function parameter identification parameter identification pressuremeter test Soil investigations. Testing Structural analysis. Stresses finite element method |
| Title | Soil parameter identification using a genetic algorithm |
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