摘要
结合工程实例,对挤扩支盘桩静载荷试验实测数据进行了模型的应用与拟合分析,结果表明,基于遗传算法工具箱优化过的指数曲线优化模型能够更好地拟合实测数据和有效地预测单桩极限承载力,且遗传算法工具箱具有求解速度快、计算精度高和通用性强等优点。
Application example of contrastive model in branch-piles was given. By analysis, the results show that the optimized model can better fit the measured data and effectively predict the limit bearing capacity. So the exponential curve model which based on genetic algorithm is a high effective model with good properties such as high efficiency, high precision, fast computing speed, etc.
出处
《山西建筑》
2008年第4期127-128,共2页
Shanxi Architecture
关键词
指数曲线模型
单桩承载力
支盘桩
遗传算法
exponential curve model, pile bearing capacity, pile with expanded branches and plates, genetic algorithm
