Identifying creep and destructuration related soil parameters by optimization methods

Yin Fu Jin; Zhen Yu Yin; Yvon Riou; Pierre Yves Hicher

doi:10.1007/s12205-016-0378-8

Identifying creep and destructuration related soil parameters by optimization methods

Yin Fu Jin, Zhen Yu Yin, Yvon Riou, Pierre Yves Hicher

Research output: Journal article publication › Journal article › Academic research › peer-review

26 Citations (Scopus)

Abstract

The paper aims to construct an efficient optimization method for identifying creep and destructuration related governing parameters of soft structured clay. An elastic viscoplastic model has been developed and adopted. Different optimization processes, by genetic algorithm or particle swarm optimization with uniform or random samplings initialization methods, are carried out to obtain the material parameters from conventional undrained triaxial tests performed on a K₀-concolidated natural soft clay. All comparisons demonstrate that the uniqueness of the solution is better guaranteed with the genetic algorithm rather than with the particle swarm optimization method. Furthermore, the efficiency of genetic algorithm has been verified by simulating other tests.

Original language	English
Pages (from-to)	1123-1134
Number of pages	12
Journal	KSCE Journal of Civil Engineering
Volume	21
Issue number	4
DOIs	https://doi.org/10.1007/s12205-016-0378-8
Publication status	Published - 1 May 2017
Externally published	Yes

Keywords

clay
destructuration
identification
optimization
time-dependency
viscoplasticity

ASJC Scopus subject areas

Civil and Structural Engineering

More information

10.1007/s12205-016-0378-8

Cite this

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title = "Identifying creep and destructuration related soil parameters by optimization methods",

abstract = "The paper aims to construct an efficient optimization method for identifying creep and destructuration related governing parameters of soft structured clay. An elastic viscoplastic model has been developed and adopted. Different optimization processes, by genetic algorithm or particle swarm optimization with uniform or random samplings initialization methods, are carried out to obtain the material parameters from conventional undrained triaxial tests performed on a K0-concolidated natural soft clay. All comparisons demonstrate that the uniqueness of the solution is better guaranteed with the genetic algorithm rather than with the particle swarm optimization method. Furthermore, the efficiency of genetic algorithm has been verified by simulating other tests.",

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AU - Riou, Yvon

AU - Hicher, Pierre Yves

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Y1 - 2017/5/1

N2 - The paper aims to construct an efficient optimization method for identifying creep and destructuration related governing parameters of soft structured clay. An elastic viscoplastic model has been developed and adopted. Different optimization processes, by genetic algorithm or particle swarm optimization with uniform or random samplings initialization methods, are carried out to obtain the material parameters from conventional undrained triaxial tests performed on a K0-concolidated natural soft clay. All comparisons demonstrate that the uniqueness of the solution is better guaranteed with the genetic algorithm rather than with the particle swarm optimization method. Furthermore, the efficiency of genetic algorithm has been verified by simulating other tests.

AB - The paper aims to construct an efficient optimization method for identifying creep and destructuration related governing parameters of soft structured clay. An elastic viscoplastic model has been developed and adopted. Different optimization processes, by genetic algorithm or particle swarm optimization with uniform or random samplings initialization methods, are carried out to obtain the material parameters from conventional undrained triaxial tests performed on a K0-concolidated natural soft clay. All comparisons demonstrate that the uniqueness of the solution is better guaranteed with the genetic algorithm rather than with the particle swarm optimization method. Furthermore, the efficiency of genetic algorithm has been verified by simulating other tests.

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KW - destructuration

KW - identification

KW - optimization

KW - time-dependency

KW - viscoplasticity

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Identifying creep and destructuration related soil parameters by optimization methods

Abstract

Keywords

ASJC Scopus subject areas

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