EFFICIENT MONTE CARLO TECHNIQUE FOR LOCATING CRITICAL SLIP SURFACE

Recently, nonlinear programming has been used for locating the critical slip surface in a slope-stability analysis via a safety-factor minimization. Deterministic methods are the most widely used procedures; random search methods are neglected because they are considered less efficient. The present paper proposes a new Monte Carlo method, of the random walking type, for locating critical slip surfaces of general shape in a slope-stability analysis. The method is shared in a sequence of stages, where each new slip surface is randomly generated by an appropriate technique. For comparative purposes, the proposed method offers solutions of the same quality as the best nonlinear programming methods. The advantages of the new method are its structural simplicity, and it is more easily programmed, integrated, and modified for particular exigencies.

Language

  • English

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: p. 517-525
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00726115
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 26 1996 12:00AM