Evaluation Indexes of Sand Liquefaction Analysed by Rough Set

Nian Ping Liu; Hong Tu Wang; Zhi Gang Yuan

doi:10.4028/www.scientific.net/AMR.243-249.3087

Paper Titles

The Analyses on Mechanism and Mode of Instability of Loess Slopes under Surface Loading
p.3067

Model Test of Roughness’ Influence on Bearing Mechanism in Rock-Socketed Pile
p.3072

Case Study of Long-Term Ground Settlements Induced by Slurry Shield Tunnelling
p.3078

Formation Mechanism Study on Houchuangzi Slope Debris Flow
p.3082

Evaluation Indexes of Sand Liquefaction Analysed by Rough Set
p.3087

The Soil Plug Failure Analysis during the Suction Penetration of Bucket Foundation
p.3092

3D Visualization Technology for the Influence on the Surrounding Environment Caused by Excavation
p.3098

Study on Rock Mass Fragment Size Prediction Technology Based on Three-Dimensional Interception Model
p.3105

Local Analytical Solution of One Dimension Consolidation Equation
p.3113

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 243-249Evaluation Indexes of Sand Liquefaction Analysed...

Evaluation Indexes of Sand Liquefaction Analysed by Rough Set

Abstract:

Sand liquefaction is a problem of complex evolution of the disaster, there is no accurate way to judge at present, this study put forward an analytical method to improve and optimize the evaluation system of sand liquefaction based on rough set. The significance of indexes are confirmed by calculating rough dependability between indexes and result for appraisement, the result show that SPT blow count has the greatest impact on the evaluation system, the groundwater level has greater impact, followed by the sand depth, epicenteral distance and duration. The proposed approach overcame the subjectivity of traditional weight determination method, so it is more objective and accurate, and it is reasonable and effective to optimize the evaluation index of sand liquefaction.

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Periodical:

Advanced Materials Research (Volumes 243-249)

Pages:

3087-3091

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.243-249.3087

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Online since:

May 2011

Authors:

Nian Ping Liu, Hong Tu Wang, Zhi Gang Yuan

Keywords:

Index Analysis, Rough Set (RS), Sand Liquefaction

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References

[1] H.S. Chou, C.Y. Yang, B.J. Hsieh, S.S. Chang: Tunnelling and Underground Space Technology,Vol.16(2001),p.185

Google Scholar

[2] Shidong Li,Lijiang Luo,Huaguo Lin: Geotechnical Investigation & Surveying, Vol.4(2007), p.3 (In Chinese)

Google Scholar

[3] Zhangjun Liu,Liaoyuan Ye,Gang Peng: Rock and Soil Mechanics, Vol.29(4) (2008), p.876(In Chinese)

Google Scholar

[4] LAI S Y,CHANG W J, Lin P S: Journal of Geotechnical and Geoenvironmental Engineering, Vol.132(6)(2006),p.694

Google Scholar

[5] Adel M, Hanna, Derin Ural, et al: Soil Dynamics and Earthquake Engineering, Vol.27(2007),p.521

Google Scholar

[6] Kezhen Yan,Nengyuan Liu,Tangdai Xia: Rock and Soil Mechanics, Vol.30(7)(2009),p.(2049)

Google Scholar

[7] Pawlak Z: Rough set．International Journal of Computer and Information Sciences (1982),p.341

Google Scholar