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A Simplex-based search for critical ...
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Crennan, Kevin Matthew.
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A Simplex-based search for critical non-circular slip surfaces.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
A Simplex-based search for critical non-circular slip surfaces./
Author:
Crennan, Kevin Matthew.
Description:
144 p.
Notes:
Director: Panos D. Kiousis.
Contained By:
Masters Abstracts International30-02.
Subject:
Computer Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1346417
A Simplex-based search for critical non-circular slip surfaces.
Crennan, Kevin Matthew.
A Simplex-based search for critical non-circular slip surfaces.
- 144 p.
Director: Panos D. Kiousis.
Thesis (M.S.)--The University of Arizona, 1991.
Slope stability problems with non-circular slip surfaces have been characterized as a problem in optimization in which the safety factor expression is the function to be minimized. The Simplex Method of Nelder and Mead (1965), one of the most powerful direct search methods, has been implemented into program STABL5 (Carpenter et al, 1985) to examine the feasibility of using advanced optimization principles in conjunction with the relatively high problem dimension associated with non-circular slip surfaces. Parametric studies were performed on LSLIP1 in order to determine recommended values for the various input parameters. STABL5 and the revised code LSLIP1 were utilized to solve five slope problems representing a wide range of conditions. The revised code with its built-in Simplex search strategy proved to be more accurate, efficient and reliable than the original code with the random grid search.Subjects--Topical Terms:
626642
Computer Science.
A Simplex-based search for critical non-circular slip surfaces.
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144 p.
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Director: Panos D. Kiousis.
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Source: Masters Abstracts International, Volume: 30-02, page: 0340.
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Thesis (M.S.)--The University of Arizona, 1991.
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Slope stability problems with non-circular slip surfaces have been characterized as a problem in optimization in which the safety factor expression is the function to be minimized. The Simplex Method of Nelder and Mead (1965), one of the most powerful direct search methods, has been implemented into program STABL5 (Carpenter et al, 1985) to examine the feasibility of using advanced optimization principles in conjunction with the relatively high problem dimension associated with non-circular slip surfaces. Parametric studies were performed on LSLIP1 in order to determine recommended values for the various input parameters. STABL5 and the revised code LSLIP1 were utilized to solve five slope problems representing a wide range of conditions. The revised code with its built-in Simplex search strategy proved to be more accurate, efficient and reliable than the original code with the random grid search.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1346417
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