Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Zhong-Bo Hu This email address is being protected from spambots. You need JavaScript enabled to view it.1, Jian-Lin Ma1, Jun Zhou1 and Chun-Hui Su1

1School of Civil Engineering, Southwest Jiaotong University, Chengdu City, Sichuan Province 610031, P.R. China


 

Received: May 1, 2014
Accepted: April 21, 2015
Publication Date: June 1, 2015

Download Citation: ||https://doi.org/10.6180/jase.2015.18.2.12  


ABSTRACT


Estimation of settlement for bridge pile foundation is critical to the construction of High-speed railway. In this paper, a great number of accurate and reliable settlement data were obtained via on-site long-term monitoring test, and on this basis the settlement laws of pile foundation and the characteristics of settlement-time curve were obtained: the settlement-time curve of bridge pile foundation in Beijing-Shanghai High-speed railway is a ladder-shaped under multiple load, and the conventional settlement prediction model can not reflect the entire process of the relationship between settlement and time. In order to overcome above shortcomings, a new settlement prediction model for bridge pile foundation was proposed in this paper, namely the Modified Exponential model (MEM). This model introduces the concept of load factor and clearly specifies a way to predict the post-construction settlement, and the comparisons of the predicted and measured settlement values are given by the Exponential model (EM), the Logistic model (LM) and the MEM, the results show that: the MEM yields better predictions of the test data than the other models due to it can take into account the measured data before erecting beam, and the level of agreement with the measured data is quite satisfying with its high predicted accuracy and little errors. At last, the influence of parameter beta at different stratum condition and loading combination were analyzed, and the recommended values were given by further gross error analysis and classification.


Keywords: Settlement Prediction, The Modified Exponential Model, High-Speed Railway, Bridge Pile Foundation


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