Optimization Design of Cantilever Supporting Structure

Abstract:

The primary object of this fundamental research is to reveal the application of genetic algorithm improved on the optimization design of cantilever supporting structure. In order to meet the strength of pile body and pile top displacement as well as design variables subjected to constraint, an algorithm is carried on to seek the optimum solution and relevant examples by means of comprehensively considering the effects on center-to-center spacing between piles,pile diameter and quantity of distributed steel, which is taken the lowest engineering cost as objective function. Through the comparison of the optimized scheme and original design, this fruitful work provides explanation to the effectiveness of genetic algorithm in optimization design. These findings of the research lead to the conclusion that the shortcomings of traditional design method is easy to fall into local optimal solution. The new optimization method can overcome this drawback.

• Periodical: Applied Mechanics and Materials (Volumes 357-360)
• Pages: 2410-2413
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.357-360.2410
• Online since: August 2013
• Authors: Wei Xu, Jian Sheng Feng, Fei Fei Feng
• Keywords: Cantilever Pile, Genetic Algorithm (GA), Optimal Design

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