›› 2006, Vol. 27 ›› Issue (3): 423-427.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Gray optimizing - Markov predicating model on bearing capacity of overlength piles

SUN Lin-zhu1,2, WANG Tie-cheng1, YANG Fang 2   

  1. 1. School of Civil Engineering, Tianjin University, Tianjin 300072, China; 2. School of Architecture and Civil Engineering, Wenzhou University, Wenzhou 325035, China
  • Received:2004-10-25 Online:2006-03-10 Published:2013-11-06

Abstract: Based on gray theory, an unequal step length gray differential equation was presented to describe bearing capacity of overlength piles, and obtain its accurate solution. Error objective function was created based on optimization theory, further used least squares method to get the system parameters of the differential equation. In order to improve the accuracy of model, according to Markov theory, dividing the test value of gray optimizing model into n kinds of states based on predicating fitting curve, and getting one-step transfer matrix to forecast bearing capacity of overlength piles. The predication results show that the gray optimizing -Markov model based on the load-settlement curve can improve the precision of prediction compared with GM(1,1) model and gray optimizing model. A new way is provided for the predication of bearing capacity of overlength piles.

Key words: overlength piles, load-settlement curve, gray optimizing-Markov model, prediction

CLC Number: 

  • TU 473
  • 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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