Bearing Capacity Prediction of Building Pile in Soft Soil Region in China by Using Support Vector Regression

Abstract:

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The common determination method of pile point and pile bearing capacity always depends on the practical experiences. The accuracy of pile survey data should be verified in the field. To predict the pile point and pile bearing capacity, a prediction model based on support vector regression algorithms has been developed. The friction resistance around piles and the static-load settlement are the inputs. The pile point bearing capacity characteristic value and the characteristic value of pile bearing capacity are the outputs. The prediction model is trained by the data in the adjacent block and validated by the field data in the project. The calculations of 40mm settlement and the prediction of other piles in the project can then be acquired. Compared to the survey data, the predicted values has 16% surplus. This will be beneficial to reduce construction work significantly and to save about 5% foundation cost.

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Periodical:

Edited by:

Zhou Mark

Pages:

1901-1904

DOI:

10.4028/www.scientific.net/AMM.52-54.1901

Citation:

X. R. Hua "Bearing Capacity Prediction of Building Pile in Soft Soil Region in China by Using Support Vector Regression", Applied Mechanics and Materials, Vols. 52-54, pp. 1901-1904, 2011

Online since:

March 2011

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$35.00

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