天津临港工业区某吹填土地基沉降量预测研究  

Study of Dredger Fill Foundation Settlement Prediction in Tianjin Lingang Industrial Park

作　　者：李凡 肖远航 宋哲良 刘飞[1] 朱志航 张恒 LI Fan;XIAO Yuanhang;SONG Zheliang;LIU Fei;ZHU Zhihang;ZHANG Heng(Jilin Jianzhu University School of Geomatics ＆ Prospecting Engineering,Changchun 130118,China)

机构地区：[1]吉林建筑大学测绘与勘查工程学院,吉林长春130118

出　　处：《四川建材》2018年第8期76-76,84,共2页Sichuan Building Materials

基　　金：吉林建筑大学大学生创新创业训练计划项目资助(2017G11009)

摘　　要：以天津临港工业区某吹填土地基为例,针对吹填土地基变形沉降规律高度非线性的特点,利用BP神经网络方法,建立地基沉降规律分析模型。计算结果表明,利用BP神经网络对吹填土地基沉降量进行预测是可行的。与回归分析的预测结果对比可知,前者的预测结果误差更小、精度更高。A dredger fill foundation in Tianjin Lingang industrial park is taken as example,the characteristic that the law of dredger fill foundation deformation and settlement is highly nonlinear is fully considered,BP neural network is utilized to establish analysis model of foundation settlement law. The results show that using BP neural network to predict dredger fill foundation settlement is feasible. Compared with the results obtained by regression analysis,the former has less error and higher accuracy.

关 键 词：吹填土 地基变形 沉降预测 BP神经网络 

分 类 号：U656.2[交通运输工程—港口、海岸及近海工程]