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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.1 P.93~100

http://doi.org/10.1631/jzus.A0820289


Application of an immune algorithm to settlement prediction


Author(s):  Jia GUO, Jun-jie ZHENG, Yong LIU

Affiliation(s):  Institute of Geotechnical and Underground Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Corresponding email(s):   daisy1118@163.com, zhengjj@hust.edu.cn, yonliu@yahoo.com.cn

Key Words:  Settlement, Prediction, Foundation, Immune algorithm (IA)


Jia GUO, Jun-jie ZHENG, Yong LIU. Application of an immune algorithm to settlement prediction[J]. Journal of Zhejiang University Science A, 2009, 10(1): 93~100.

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author="Jia GUO, Jun-jie ZHENG, Yong LIU",
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%T Application of an immune algorithm to settlement prediction
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%A Jun-jie ZHENG
%A Yong LIU
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%@ 1673-565X
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820289

TY - JOUR
T1 - Application of an immune algorithm to settlement prediction
A1 - Jia GUO
A1 - Jun-jie ZHENG
A1 - Yong LIU
J0 - Journal of Zhejiang University Science A
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SP - 93
EP - 100
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820289


Abstract: 
The settlement curve of the foundation endured the ramp load is an S-type curve, which is usually simulated via Poisson curve. Aimed at the difficulty of preferences in Poisson curve, an immune algorithm (IA) is used. IA is able to obtain a multiple quasi-optimum solution while maintaining the population diversity. In this paper, IA is used in an attempt to obtain accurate settlement prediction. The predicted settlements obtained by IA are compared with those predicted by the least squares fitting method (LSM), the Asaoka method and the genetic algorithm (GA). The results show that IA is a useful technique for predicting the settlement of foundations with an acceptable degree of accuracy and has much better performance than GA and the Asaoka methods.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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