JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2017, Vol. 34 ›› Issue (12): 73-77.DOI: 10.11988/ckyyb.20160904

• ROCK-SOIL ENGINEERING • Previous Articles     Next Articles

Prediction of Ultimate Bearing Capacity of Bored Pile of LargeDiameter in Soft Rock Foundation in Nanning

JIANG Jie1, 2, 3, CHEN Jun1, XIAO Meng1, WEI Yong-chao4, MA Shao-kun1, 2, 3   

  1. 1.College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China;
    2.Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning 530004, China;
    3.Guangxi Key Laboratory of Geomechanics and Geotechnical Engineering, Guilin University ofTechnology, Guilin 541004, China;
    4.CSCEC AECOM Consultants Co.,Ltd., Lanzhou 730000,China
  • Received:2016-09-05 Online:2017-12-01 Published:2017-12-22

Abstract: The bearing capacity of cast-in-place bored pile of large diameter in soft rock foundation in Nanning is difficult to determine due to softening and disintegration characteristics when soaked in water. Static load test was conducted to determine the bearing capacity of bored pile in the soft rock interbedding foundation of an elevated platform project in the railway station of Nanning Ciy. Both exponential function fitting method and numerical back analysis were used to accurately predict the load-settlement relation and ultimate bearing capacity of test pile which did not reach the ultimate state. Results show that the load-settlement curve of bored pile in soft rock interbedding foundation is an adjustment curve and the pile works as end bearing friction pile. As common design methods of pile foundation at present underestimates the bearing capacity of pile in this foundation, exponential function which is used to describe the load-settlement behaviour of test pile and numerical back analysis can be combined to estimate the ultimate bearing capacity of test pile.

Key words: bored pile, static load test, prediction of ultimate bearing capacity, exponential model, numerical back analysis

CLC Number: 

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