Study on the Evaluation Method of Subgrade Settlement Caused by Structure Layer of the High-Speed Railway

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Abstract:

Based to the geometric and mechanical parameters of the typical high-speed railway, the settlement values on the foundation and the subgrade face with different structure layer load are obtained by the numerical calculation. According to these numerical results, the power functional relationship between Sst / S∞ and Pst /hγ is found, and a new evaluation method of the subgrade face settlement caused by the structure layer using the measure data is put forward. Through analyzing the settlement data of different conditions, the parameters of the formula are discussed, and some conclusions and suggestions are given. This new evaluation method will provide some reference for the design and the evaluation of the subgrade settlement caused by the structure layer of the high-speed railway.

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72-77

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] J.L. Zhao, The settlement observation technology on the subgrade of passenger dedicated line," railway construction. 7 (2008) 67-69.

Google Scholar

[2] M.L. Li, Settlement Deformation observation and evaluation technology for infrastructure constructions of Passenger Dedicated Line, Engineering Science. 1 (2009) 48-59.

Google Scholar

[3] Q.N. Zhou, L.F. Jiang, Analysis on the subgrade settlement characteristics and the influencing factors of Passenger Dedicated Line, Railway standard design, 2 (2010) 15-19.

Google Scholar

[4] S.L. Qian, X.C. Xu, Study on development index curve model of the subgrade settlement prediction, Railway standard design. 2 (2010) 28-30.

Google Scholar

[5] L.F. Jiang, S.X. Chen, Study on the prediction methods for the settlement after construction of the high-speed railway, Railway standard design. 2 (2010) 19-22.

Google Scholar