摘要
在对桩的荷载传递规律进行分析的基础上,运用生物生长观点将Gompertz函数模型用于单桩极限荷载的预测中,给出模型参数估计的粒子群(PSO)方法,并在实例分析的基础上将PSO-Gompertz模型与常用预测模型进行了对比。结果表明:在桩顶静荷载作用下,单桩承载力的发展经历了发生、发展、成熟并趋于饱和的生长过程;桩的荷载Q—沉降s曲线可用logistic函数描述;提出的PSO-Gompertz模型比双曲线模型、指数模型有更高的预测精度。
According to the biological growth law, the Gompertz function model was used to the forecast of single-pile ultimate load after the load transmission mechanism of piles was analyzed, the Par- ticle Swarm Optimization for parameter estimation of the model was provided, the prediction effects of PSO-Gompertz model and double common forecast models were compared with each other based on case- study. The results show that the growth process of pile bearing capacity usually experience the stages of begin, development, maturity and saturation; the load-settlement (Q-s) curve of piles under static load can be described by the Gompertz function; PSO-Gompertz model works better than the hyperbola and in- dex ones in the forecast of single-pile ultimate load.
出处
《公路工程》
北大核心
2012年第5期87-91,共5页
Highway Engineering
基金
国家交通运输部科技项目(2010-353-343-290)
关键词
管桩
极限承载力
预测
GOMPERTZ
粒子群
tubular pile
ultimate bearing capacity
forecast
Gompertz
Particle Swarm Optimization