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Identifying creep and destructuration related soil parameters by optimization methods

  • Geotechnical Engineering
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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 K 0-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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Authors and Affiliations

  1. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Dept. of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China

    Yin-Fu Jin, Zhen-Yu Yin & Yvon Riou

  2. Dept. of Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Yin-Fu Jin

  3. LUNAM University, Ecole Centrale de Nantes, UMR CNRS GeM, 1 Rue de la Noe, Nantes, 44321, France

    Yin-Fu Jin, Zhen-Yu Yin & Pierre-Yves Hicher

Authors
  1. Yin-Fu Jin
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  2. Zhen-Yu Yin
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  3. Yvon Riou
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  4. Pierre-Yves Hicher
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Correspondence to Zhen-Yu Yin.

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Jin, YF., Yin, ZY., Riou, Y. et al. Identifying creep and destructuration related soil parameters by optimization methods. KSCE J Civ Eng 21, 1123–1134 (2017). https://doi.org/10.1007/s12205-016-0378-8

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  • DOI: https://doi.org/10.1007/s12205-016-0378-8

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