A Prediction Method of Bearing Capacity of CFG Pile Composite Foundation Based on Support Vector Machine

2013 ◽  
Vol 438-439 ◽  
pp. 1419-1422
Author(s):  
Qing Liu ◽  
Wei Ding ◽  
Kai Kang ◽  
Xiao Han ◽  
Bing Yu Wang
Keyword(s):  
Support Vector Machine ◽  
Theoretical Analysis ◽  
Bearing Capacity ◽  
Test Data ◽  
Prediction Method ◽  
Composite Foundation ◽  
Support Vector ◽  
Cfg Pile Composite Foundation ◽  
Set Up ◽  
Cfg Pile

A prediction method of bearing capacity of CFG pile composite foundation was presented based on that support vector machine and corresponding prediction model was set up. To obtain the model coefficients, 18 groups of test data of CFG pile composite foundation were trained, the training value conforms well to the test value. Then the model was used to predict another 4 groups of test data. The result showed that the prediction value was close to the test value. The theoretical analysis and practical example indicated that the prediction method of bearing capacity of CFG pile composite foundation based on support vector machine is accurate and reliable.

Application of LS-SVM to Prediction of Bearing Capacity of Cement-Flyash-Gravel Pile Composite Foundation

2013 ◽  
Vol 438-439 ◽  
pp. 1399-1403
Author(s):  
Wei Ding ◽  
Qing Liu ◽  
Kang Kang Sun ◽  
Feng Tao Sui
Keyword(s):  
Bearing Capacity ◽  
Great Influence ◽  
Composite Foundation ◽  
Learning Ability ◽  
Support Vector ◽  
Data Prediction ◽  
Svm Model ◽  
Cfg Pile Composite Foundation ◽  
Gravel Pile ◽  
Cfg Pile

There are a lot of factors that influence the bearing capacity of composite foundation, and the relationship between them is complex and nonlinear. Based on study of main factors that have great influence on bearing capacity of cement-flyash-gravel (CFG) pile composite foundation, the least squares support vector machine (LS-SVM) model of bearing capacity of composite foundation was established. The results show that the model has excellent learning ability and generalization and can provide accurate data prediction only with fewer observed sample. It is proved that the new method is a promising method for the determination of bearing capacity of CFG pile and other rigid piles composite foundation.

Analysis on Bearing Capacity of CFG Pile Composite Foundation in Baotou

2013 ◽  
Vol 353-356 ◽  
pp. 337-340
Author(s):  
Ying Hao Wang ◽  
Yu Qin Feng ◽  
Shuo Li
Keyword(s):  
Bearing Capacity ◽  
Sandy Soil ◽  
Inner Mongolia ◽  
Composite Foundation ◽  
Engineering Project ◽  
Silty Soil ◽  
Practical Engineering ◽  
Soil Foundation ◽  
Cfg Pile Composite Foundation ◽  
Cfg Pile

By uniting composite foundation with CFG pile composite foundation for a practical engineering project in Baotou, the bearing capacity of CFG pile in sandy soil and silty soil foundation were analyzed. The conclusion can be applied to the similar projects in the region of Inner Mongolia.

Prediction Method of Vertical Ultimate Bearing Capacity of Single Pile Based on Support Vector Machine

2010 ◽  
Vol 168-170 ◽  
pp. 2278-2282 ◽  
Author(s):  
Yong Jian Liu ◽  
Shi Hua Liang ◽  
Jia Wu Wu ◽  
Na Fu
Keyword(s):  
Support Vector Machine ◽  
Bearing Capacity ◽  
Mechanical Characteristics ◽  
Simple Structure ◽  
Prediction Method ◽  
Ultimate Bearing Capacity ◽  
Support Vector ◽  
Single Pile ◽  
Factors Affecting ◽  
Svm Model

By comprehensively analyzing the main factors affecting vertical ultimate bearing capacity of single pile, a prediction model of Support Vector Machine (SVM), which discusses the nonlinear relationship between vertical ultimate bearing capacity of single pile and influencing factors and analyzes the parameters on the performance of the model through sample knowledge learning, is established in this paper. The research results indicate that, SVM model, which is compared with BP neural networks model, possesses simple structure, flexible adaptability, high precision and powerful generalization ability, and can accurately reflect the actual mechanical characteristics of pile, therefore, SVM is an effective method for predicting vertical ultimate bearing capacity of single pile.

The Settlement Analysis of the Cement Fly-Ash Gravel Pile Composite Foundation of Baotou

2014 ◽  
Vol 580-583 ◽  
pp. 518-523
Author(s):  
Juan Li ◽  
Yao Xu ◽  
Jun Yin
Keyword(s):  
Fly Ash ◽  
Composite Foundation ◽  
Settlement Calculation ◽  
Practical Engineering ◽  
Cfg Pile Composite Foundation ◽  
Modified Formula ◽  
Gravel Pile ◽  
Final Settlement ◽  
Settlement Analysis ◽  
Cfg Pile

This paper analyzes the causes of larger differences of final settlement calculated value of cement fly-ash gravel pile (CFG pile) composite foundation of Baotou with actual observed result of it. On the basis of analysis on a number of practical engineering data of Baotou, we modify the settlement formula of the CFG pile composite foundation and gain the modified coefficient applied to the settlement calculation of the CFG pile composite foundation of Baotou. The modified formula and coefficient proposed in this paper have a positive effect on the accurate settlement calculation of puting forward a more accurate correction formula and coefficient of the calculation of the CFG pile composite foundation of Baotou.

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