Intelligence Optimization Design Model of Deep Cement-Stirring Pile

Abstract:

Aiming at the phenomenon of the more conservative design of deep cement stirring pile currently, used optimization design theory such as genetic algorithm and particle swarm optimization, taken the cement consumption as the object function, taken replacement rate, water-cement ratio, pile diameter and pile length as the design variables, composite foundation bearing capacity and settlement as restrictive conditions, the optimal design models are established respectively based on genetic algorithm and particle swarm optimization. Case studies have shown that these two established models are effective. By comparison, the particle swarm optimization model is the more effective one.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 1505-1508
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.1505
• Online since: December 2010
• Authors: Xiang Yang Chen, Heng Zhen Yan
• Keywords: Deep Cement-Stirring Pile, Genetic Algorithm (GA), Optimization Design Model, Particle Swarm Optimization Algorithm (PSO)

References

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