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 publicationJournal articleAcademic researchpeer-review

26 Citations (Scopus)


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 languageEnglish
Pages (from-to)1123-1134
Number of pages12
JournalKSCE Journal of Civil Engineering
Issue number4
Publication statusPublished - 1 May 2017
Externally publishedYes


  • clay
  • destructuration
  • identification
  • optimization
  • time-dependency
  • viscoplasticity

ASJC Scopus subject areas

  • Civil and Structural Engineering


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