Settlement prediction model of wettest-soft loess subgrade in ravine regions

Peng Xiao-yun; Ye Wan-jun; She Xue-sen; Zhao Juan; Liu Zhao

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Peng Xiao-yun, Ye Wan-jun, She Xue-sen, Zhao Juan, Liu Zhao. Settlement prediction model of wettest-soft loess subgrade in ravine regions[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 70-75.

Citation:

Peng Xiao-yun, Ye Wan-jun, She Xue-sen, Zhao Juan, Liu Zhao. Settlement prediction model of wettest-soft loess subgrade in ravine regions[J]. Journal of Traffic and Transportation Engineering, 2007, 7(2): 70-75.

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Settlement prediction model of wettest-soft loess subgrade in ravine regions

1.
Department of Architecture Engineering, Engineering College of CAPF, Xi'an 710086, Shaanxi, China
2.
Key Laboratory for Special Region Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, Shaanxi, China
3.
Department of Geology and Environment Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China

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Author Bio:
Peng Xiao-yun(1975-), female, lecturer, doctoral student, +86-29-84563471, pengxygong@163.com

She Xue-sen(1956-), male, PhD, professor, +86-29-82334839, shexuesen@sina.com
Received Date: 2006-12-01
Publish Date: 2007-04-25

Abstract

Abstract

In view of the randomness and uncertainty of effect factors in subgrade settlement prediction, a prediction model based on case-based reasoning integrated with neural network was presented.In the model, a model for indexing subgrade settlement cases with neural network was set up, the successful experiences of similar engineerings were analyzed, and a new kind of utility function to calculate the similarities of the cases were introduced.The similarity relationship among the settlement cases was established by training neural network, so that the most similar base case to settlement target case was found out.Settlement prediction result of wettest-soft loess subgrade in ravine regions shows that the absalute errors between predicted data and actual ones are less than 10%, and the model has high prediction precision.
- subgrade engineering,
- wettest-soft loess subgrade,
- settlement prediction,
- case-based reasoning,
- neural network

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References(10)

References

[1]	Feng Zhong-ren, Chen Xiang-yang, Yan Heng-zhen. Decision model of soft ground improvement of expressways using case-based reasoning[J]. Rock and Soil Mechanics, 2004, 25(11): 1 779-1 781. (in Chinese) doi: 10.3969/j.issn.1000-7598.2004.11.021
[2]	Liu Mu-yu, Zhu Rui-geng. Acase-based reasoning approachto slope stability evaluation based on fuzzy analogy preferred ratio[J]. Chinese Journal of Rock Mechanics and Engineering, 2002, 21(8): 1 188-1 193. (in Chinese) doi: 10.3321/j.issn:1000-6915.2002.08.017
[3]	Wang Dong-yao, She Xue-sen, Ye Wan-jun, et al. Case-based reasoning approach to settlement of expressway on soft foundation[J]. Journal of Chang'an University: Natural Science Edition, 2006, 26(1): 20-24. (in Chinese) doi: 10.3321/j.issn:1671-8879.2006.01.005
[4]	Ni Zhi-wei, Jia Rui-yu, Li Long-shu. Case-based reasoning based on neural network[J]. Microcomputer Development, 2001, 11(5): 3-7. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WJFZ200105001.htm
[5]	Liu Meng-cheng, Huang Xiao-ming, Tao Xiang-hua. Influence factors on post construction settlement of high backfill sadjacent to abut ment[J]. Journal of Traffic and Transportation Engineering, 2005, 5(3): 36-41. (in Chinese) doi: 10.3321/j.issn:1671-1637.2005.03.008
[6]	Zhang Hui-mei, Li Yun-peng, Mao Cheng. Settlement prediction of roadbed in soft ground using artificial neural networks[J]. Journal of Chang'an University: Natural Science Edition, 2002, 22(4): 20-22. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200204005.htm
[7]	Sah N K, Sheorey P R, Upadhyaya L N. Maximum likeli-hood estimation of slope stability[J]. International Journal of Rock Mechanics Mining Science & Chanics Abstract, 1994, 31(1): 47-53.
[8]	Xia Yuan-you, Li Mei, Xie Quan-min. A method of slopestability evaluation using case-based reasoning[J]. Rock and Soil Mechanics, 2003, 24(Sup): 300-303. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YTLX2003S2068.htm
[9]	Liu Bao-jian, Zhi Xi-lan, Xie Yong-li, et al. Analysis of problems onloess hydrocompaction in highway engineering[J]. China Journal of Highway and Transport, 2005, 18(4): 27-31. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200504005.htm
[10]	长安大学, 陕西省高速公路建设集团公司. 高等级公路湿软性黄土路基稳定性及其防治研究[R]. 西安: 陕西省交通厅, 2001.