Intelligence Optimization Design Model of Deep Cement-Stirring Pile
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.
X. Y. Chen and H. Z. Yan, "Intelligence Optimization Design Model of Deep Cement-Stirring Pile", Applied Mechanics and Materials, Vols. 44-47, pp. 1505-1508, 2011