Geomechanics and Engineering

  • 제1권1호
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  • Pages.85-96
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  • 2009
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  • 2005-307X(pISSN)
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  • 2092-6219(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Searching for critical failure surface in slope stability analysis by using hybrid genetic algorithm

  • Li, Shouju (State Key Lab. of Struct. Anal. of Ind. Equip, Dalian University of Technology) ;
  • Shangguan, Zichang (School of Civil and Hydraulic Engineering, Dalian University of Technology, Institute of Civil Engineering, Dalian Fishery University) ;
  • Duan, Hongxia (State Key Lab. of Struct. Anal. of Ind. Equip, Dalian University of Technology, College of Architecture & Civil Engineering, Dalian Nationalities University) ;
  • Liu, Yingxi (State Key Lab. of Struct. Anal. of Ind. Equip, Dalian University of Technology) ;
  • Luan, Maotian (School of Civil and Hydraulic Engineering, Dalian University of Technology)
  • 투고 : 2009.01.09
  • 심사 : 2009.03.05
  • 발행 : 2009.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

The radius and coordinate of sliding circle are taken as searching variables in slope stability analysis. Genetic algorithm is applied for searching for critical factor of safety. In order to search for critical factor of safety in slope stability analysis efficiently and in a robust manner, some improvements for simple genetic algorithm are proposed. Taking the advantages of efficiency of neighbor-search of the simulated annealing and the robustness of genetic algorithm, a hybrid optimization method is presented. The numerical computation shows that the procedure can determine the minimal factor of safety and be applied to slopes with any geometry, layering, pore pressure and external load distribution. The comparisons demonstrate that the genetic algorithm provides a same solution when compared with elasto-plastic finite element program.

키워드

참고문헌

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피인용 문헌

  1. Evaluation of factor of safety for vegetated and barren soil slopes with limit equilibrium computations vol.8, pp.4, 2013, https://doi.org/10.1080/17486025.2012.744101
  2. A new hybrid algorithm for global optimization and slope stability evaluation vol.20, pp.11, 2013, https://doi.org/10.1007/s11771-013-1850-y
  3. Opposition-based firefly algorithm for earth slope stability evaluation vol.28, pp.5, 2014, https://doi.org/10.1007/s13344-014-0055-y
  4. High-precision modeling of uplift capacity of suction caissons using a hybrid computational method vol.2, pp.4, 2009, https://doi.org/10.12989/gae.2010.2.4.253