Research on the Prediction of High Embankment Settlement Based on the Real-Time Monitoring On-Site

Abstract:

Based on the real-time settlement monitoring of embankment on-site, Hyperbola method and Index curve method are used in the prediction of embankment settlement and the prediction results were compared to verify the feasibility and the potential engineering value of the prediction of embankment settlement. The calculation results showed that the relative error of the results calculated by the above methods was controlled within 2%. The accuracy of early settlement prediction of Index curve method was lower than the accuracy of later settlement prediction, but the predicting result met the needs of the engineering accuracy. The accuracy of settlement prediction of Hyperbola method was significantly higher than Index curve method. Through the comparing and analyzing of the prediction results of embankment settlement, the final settlement value calculated by Hyperbola method was higher than the real-time monitoring on-site, and the final settlement value calculated by Index curve method was lower than the real-time monitoring on-site, Hyperbola method is more suitable for the estimation to the subsidence of actual embankment engineering construction.

• Periodical: Applied Mechanics and Materials (Volumes 256-259)
• Pages: 1754-1760
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.256-259.1754
• Online since: December 2012
• Authors: Xing Huang, Ru Ming Wei, Ling Yuan, Xiao Qing Li
• Keywords: Curve-Fitting, Final Settlement, Prediction of High Embankment Settlement, Real-Time Monitoring on-Site, Relative Error

References

[1] WANG Ke, MAO Zhi-ji. Actualizing Least-squares Curve-fitting Based on Matlab [J]. Journal of Beijing Broadcasting Institute (Science and technology), 2005, 12 (2):52-56.

[2] WANG Yue-wei, ZHANG Ling-ling, Shi Pengfei etc. Comparison and Analysis of two kinds of Nonlinear Curve-fitting in the Construction Land Subsidence prediction [J]. Railway Engineering, 2011, (11):81-83.

[3] HU Hong-yu. Study on One-dimensional Consolidation Theory of Saturated Soil Considering the Effect of Stress History [D]. Zhejiang university, 2004.

[4] FU Hong-yuan. Research on settlement prediction for high filling embankment and earth pressure behind abutments [D]. Wuhan University of Technology, 2006.

[5] GU Jiang-bo. Analyzing the Settlement Influence Factors and Calculation on Soft Groud of the Expressway [D]. HohaiUniversity,(2005)

[6] Zhang Dengpan. A Research about Embankment Settlement Observation Data Processing and Forecasting Model [D]. Changsha University of Science and Technology, 2008.

[7] LU Xi-ming, LI Ming-yuan. The Realization of Curve Fitting with Matlab [J]. Journal of Inner Mongolia University (Natural Science), 2009, 24 (2):125-127.

[8] Li Jie, Wan Zhongbin. Forecast and Estimate of the Uneven Subside in High fill Road Bed [J]. China Science and Technology Information, 2007, (10):71-73.

[9] LI Junfeng. Sunmmarization about the Prediction Methods of Soft Soil Subgrade Settlement [J]. Sci-tech Information Development and Economy, 2010, 20(14):82-186.

[10] YANG Liu. Comparison and Analysis of two Forecasting Models in the Guest Designed Embankment Settlement Prediction[J]. West-China Exploration Engineering, 2010, 22(11): 227-229.

[11] Yin Jin-guo. The design of visual interface and use of controls with Matlab[J], Computer Programming Skill and Maintenance, 2007, (1):30-35.

[12] ZHU Pei-liang, GAO Jin-kang,  ZHU Xiao-yan etc. Study on Parameter Inversion of Settlement Forecast for Soft soil Roadbed [J]. Journal of Zhejiang Vocational and Technical Institute of Transportation, 2011, 12(3):13-15.

[13] Ju Jun. Settlement Prediction of Highway Soft Base Based on nonideal observation data [D]. Nanjing Forestry University, 2009.