摘要
为提高软土路基沉降预测精度,将用于资源预测的广义Usher模型引入软土路基沉降预测中;基于最小二乘原理,利用差分进化算法优化求解模型结构参数。分析表明,广义Usher模型包含了目前用于沉降预测的指数曲线模型、Logistic模型、Gompertz模型、Bertalanffy模型、Weibull模型、Usher模型共6种沉降预测模型,该模型具有更强大的可塑性和适应性。实例计算结果表明,经差分进化算法优化的广义Usher模型用于沉降预测效果良好,比Logistic模型、Gompertz模型、Bertalanffy模型、Usher模型这几种沉降预测模型具有更高的预测精度,可供工程应用参考。
To improve the prediction accuracy of settlement of soft clay roadbed,the generalized Usher model originally for resources forecast was introduced in the settlement prediction.Based on the least square principle,the differential evolution algorithms were employed to solve the structural parameters of the model.The generalized Usher model includes the current six kinds of models for settlement prediction： the exponential curve model,the Logistic model,the Gompertz model,the Bertalanffy model,the Weibull model and the Usher model,indicating that it has more powerful flexibility and adaptability.The calculated results of examples show that the generalized Usher model optimized by the differential evolution algorithms has high prediction accuracy and can be applied in actual projects.
出处
《水利水电科技进展》
CSCD
北大核心
2010年第5期73-76,84,共5页
Advances in Science and Technology of Water Resources
基金
芜湖市科技计划资助项目(2008702)
关键词
岩土工程
软土路基
沉降预测
广义Usher模型
参数优化
差分进化算法
geotechnical engineering
soft clay roadbed
settlement prediction
generalized Usher model
parameter optimization
differential evolution algorithm
