DocumentCode
1896173
Title
Artificial Neural Network´s Application in Intelligent Prediction of Surface Settlement Induced by Foundation Pit Excavation
Author
Yu Jun ; Chen Haiming
Author_Institution
Sch. of Civil Eng. & Archit., Central Sounth Univ., Changsha, China
Volume
1
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
303
Lastpage
305
Abstract
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.
Keywords
excavators; foundations; geotechnical engineering; neural nets; artificial neural network; foundation pit building; foundation pit engineering; foundation pit excavation; intelligent ground settlement analysis; intelligent prediction; surface settlement; Artificial intelligence; Artificial neural networks; Civil engineering; Computer architecture; Educational technology; Electronic mail; Intelligent networks; Intelligent structures; Intelligent systems; Surface fitting; artificial neural network; foundation pit; ground settlement; intelligent analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.80
Filename
5287650
Link To Document