单桩承载力预测的PSO-Logistic模型

分析了桩的荷载传递规律,指出在桩顶静荷载作用下,单桩承载力的变化经历了发生、发展、成熟并趋于饱和的过程。运用生物生长观点,将Logistic函数模型用于单桩极限荷载的预测中,给出了模型参数估计的粒子群优化(PSO)方法,并通过实例分析将PSO-Logistic模型与常用预测模型进行了对比。结果表明:桩的荷载-沉降曲线可用Logistic函数描述,且PSO-Logistic模型的预测精度更高。

The PSO-Logistic Model for Single Pile Capacity Prediction

After analyzing the load transfer law of pile, points out the bearing capacity of single pile has undergone the process of occurrence, development, maturity and saturation under the pile top static loading. Using the biological growth views, applies the Logistic function models to predict the ultimate load of single pile, and gives the particle swarm optimization (PSO) method for its parameter estimation. Through a case analysis, compares the PSO-Logistic prediction model with common used models. The results show that: the curve of pile load-settlement can be decrypting by Logistic function and it has high prediction accuracy.