›› 2004, Vol. 25 ›› Issue (2): 301-303.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Settlement prediction model of roadbed on soft ground based on artificial neural network with interference function

FAN Kun1, YANG Tao2, LI Guo-wei3   

  1. 1. Computer Center，Shanghai Maritime University, Shanghai 200135, China； 2. School of Urban Construction and Environment Engineering，University of Shanghai for Science and Technology, Shanghai 200093, China； 3. Research Institute of Geotechnical Engineering，Hohai University, Nanjing 210098, China
  • Received:2002-10-16 Online:2004-02-10 Published:2014-07-15

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Abstract: Based on the measured settlements of road embankment on soft ground during preloading, a new settlement prediction model is established by the BP network with interference function. Its application to a practical case shows that the proposed model has good extensionality, and can be used to predict future settlements with higher precision by means of measured settlements during a short period of preloading. The proposed model can overcome the defaults of some cure fitting methods and the traditional BP model, and has widely applied foreground in expressway construction.

Key words: BP model, soft ground, settlement, prediction

CLC Number: 

  • TB 115
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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