Artificial Neural Network's Application in Intelligent Prediction of Surface Settlement Induced by Foundation Pit Excavation

被引:5
作者
Yu Jun [1 ,3 ]
Chen Haiming [2 ,3 ]
Yu Jun [1 ,3 ]
Chen Haiming [2 ,3 ]
机构
[1] Cent S Univ, Sch Civil Engn & Architect, Changsha, Hunan, Peoples R China
[2] Anhui Univ Sci & Technol, Sch Civil Engn & Architect, Huainan, Peoples R China
[3] Tongji Univ, Minist Educ, Key Lab Geotech & Underground Engn, Shanghai, Peoples R China
来源
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS | 2009年
关键词
ground settlement; Artificial neural network; Intelligent analysis; foundation pit;
D O I
10.1109/ICICTA.2009.80
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Surface settlement will take place while foundation pit building and it is one of important problems in foundation pit engineering. The influencing factors are complex and there are stochastic and fuzzy properties in them, which have brought difficulties to the ground settlement predication. The traditional methods are inadequate when they are used to analyze and predict the surface settlement. In this paper, the authors established an intelligent ground settlement analysis method and solved these problems. Practices show that the accuracy of the method can meet the application requirements, with some merits, such as, high efficiency, use of convenience, suitable for engineering applications, and so on, so the research results have certain engineering and technical value.
引用
收藏
页码:303 / 305
页数:3
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