|Table of Contents|

Predicting of Vertical Ultimate Bearing Capacity of Single Pile Based on Fuzzy Control(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2010年04期
Page:
25-30
Research Field:
Publishing date:
2010-12-20

Info

Title:
Predicting of Vertical Ultimate Bearing Capacity of Single Pile Based on Fuzzy Control
Author(s):
XUE Xin-hua1; 2;  WEI Yong-xing1;  ZHAO Xiao-yan3
1. China Railway Eryuan Engineering Group Co.Ltd, Chengdu 610031, Sichuan, China; 2. School of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, Zhejiang, China; 3. School of Civil Engineering, Southwest Jiaotong University, Chengd
Keywords:
vertical ultimate bearing capacity of single pile;  simulated annealing algorithm;  fuzzy neural network;  predicting model
PACS:
TU473.1
DOI:
-
Abstract:
To predict vertical ultimate bearing capacity of single pile reasonably, with the strong learning ability and fuzzy logic functions, the predicting model of vertical ultimate bearing capacity of single pile based on the simulated annealing algorithm was established. The training and predicting of collected sample were carried out, and predicting results of the method were compared with those of conventional subtractive clustering algorithm. Analysis result shows that the fuzzy neural network model based on the simulated annealing algorithm is effective and feasible in predicting the vertical ultimate bearing capacity of single pile, and it has greater practical value in engineering.

References:

[1] 刘勇健.基于遗传-神经网络的单桩竖向极限承载力预测方法研究[J].岩土力学,2004,25(1):59-63. LIU Yong-jian.Study of Prediction Method of Vertical Ultimate Bearing Capacity of Single Pile Based on Genetic Algorithm and Neural Network[J].Rock and Soil Mechanics,2004,25(1):59-63.
[2]计 宏,卢文晓.静压桩挤土扩孔的有限元数值模拟研究[J].西安科技大学学报,2009,29(6):722-725. JI Hong,LU Wen-xiao.FEM Numerical Simulation of Hole Expansion Caused by Driving Static Pressure Pile[J].Journal of Xi'an University of Science and Technology,2009,29(6):722-725.
[3]蒋建平.大直径超长桩的承载潜力问题探讨[J].西安建筑科技大学学报:自然科学版,2006,38(3):333-338.图4 各输入数据训练后的隶属度 Fig.4 Memberships of Every Input Data After Training图5 预测样本的实测值和预测值对比 Fig.5 Comparisons Between Actual and Predictive Values of Predicting SamplesJIANG Jian-ping.Study on the Potential Bearing Cap-acity of Long Diameter and Super-long Piles[J].Journal of Xi'an University of Architecture & Technology:Natural Science Edition,2006,38(3):333-338.
[4]谢 星,王东红,赵法锁,等.黄土地区两种成孔工艺钻孔灌注长桩承载力性状对比研究[J].西安科技大学学报,2005,25(1):42-46. XIE Xing,WANG Dong-hong,ZHAO Fa-suo,et al.Comparison for Bearing Behavior of Longhole Bored Pile by Two Types of Holing Technology in Loess Foundation[J].Journal of Xi'an University of Science and Technology,2005,25(1):42-46.
[5]闫韩生,曹森虎,韩茂蔚.CFG桩在处理湿陷性黄土地基中的应用研究[J].西安建筑科技大学学报:自然科学版,2008,40(2):218-223. YAN Han-sheng,CAO Sen-hu,HAN Mao-wei.Mechanism Analyses of Disposal of Collapsed Loess with CFG Pile[J].Journal of Xi'an University of Architecture & Technology:Natural Science Edition,2008,40(2):218-223.
[6]陈昌富,周志军.路堤下水平加筋体与散体材料桩复合地基极限承载力[J].中国公路学报,2010,23(3):1-9. CHEN Chang-fu,ZHOU Zhi-jun.Limit Bearing Cap-acity of Composite Foundation Reinforced with Geosynthetic and Granular Pile Under Embankment[J].China Journal of Highway and Transport,2010,23(3):1-9.
[7]易耀林,刘松玉,朱志铎.路堤荷载下钉形搅拌桩复合地基沉降特性[J].中国公路学报,2010,23(5):1-7. YI Yao-lin,LIU Song-yu,ZHU Zhi-duo.Settlement Behavior of T-shaped Deep Mixed Column Composite Foundation Under Embankment Load[J].China Journal of Highway and Transport,2010,23(5):1-7.
[8]易耀林,刘松玉,杜延军.路堤荷载下钉形搅拌桩复合地基附加应力扩散特性[J].中国公路学报,2009,22(5):8-14. YI Yao-lin,LIU Song-yu,DU Yan-jun.Additional Stress Distribution Behavior of T-shaped Deep Mixed Column Composite Foundation Under Embankment Load[J].China Journal of Highway and Transport,2009,22(5):8-14.
[9]冯忠居,任文峰,李 晋.后压浆技术对桩基承载力的影响[J].长安大学学报:自然科学版,2006,26(3):35-38. FENG Zhong-ju,REN Wen-feng,LI Jin.Bearing Cap-acity of Post-grouting Pile Foundation[J].Journal of Chang'an University:Natural Science Edition,2006,26(3):35-38.
[10]方 磊,谢永利.柔性基础下复合地基桩土应力比模型试验[J].长安大学学报:自然科学版,2005,25(2):30-32. FANG Lei,XIE Yong-li.Model Experiment of Pile-soil Stress Ratio of Composite Ground Under Flexible Foundation[J].Journal of Chang'an University:Nat-ural Science Edition,2005,25(2):30-32.
[11]冯忠居,谢永利,李 哲,等.大直径超长钻孔灌注桩承载性状[J].交通运输工程学报,2005,5(1):24-27. FENG Zhong-ju,XIE Yong-li,LI Zhe,et al.Bearing Property of Large-diameter Over-length Nonplacement Pile[J].Journal of Traffic and Transportation Engineering,2005,5(1):24-27.
[12]庄 宁,周小刚,赵法锁.单桩负摩阻力的双折线模型理论解[J].地球科学与环境学报,2006,28(1):62-68. ZHUANG Ning,ZHOU Xiao-gang,ZHAO Fa-suo.Theoretical Solution of Single Piles Negative Friction by Double Broken Line Model[J].Journal of Earth Sciences and Environment,2006,28(1):62-68.
[13]杨 磊,徐洪钟.基于ANFIS的单桩竖向极限承载力预测模型[J].岩土力学,2006,27(增2):822-825. YANG Lei,XU Hong-zhong.Predicting Model of Vertical Ultimate Bearing Capacity of Single Pile Using Adaptive Neuro-fuzzy Inference System[J].Rock and Soil Mechanics,2006,27(S2):822-825.
[14]郑俊杰,郭 嘉,鲁燕儿.基于免疫算法的单桩极限承载力预测[J].华中科技大学学报:城市科学版,2006,23(2):5-8. ZHENG Jun-jie,GUO Jia,LU Yan-er.Prediction of Ultimate Bearing Capacity of Pile Based on Immune Algorithm[J].Journal of Huazhong University of Science and Technology:Urban Science Edition,2006,23(2):5-8.
[15]童瑞铭,程永锋,鲁先龙,等.基于遗传算法的单桩极限承载力灰色预测法[J].武汉大学学报:工学版,2007,40(增1):270-273. TONG Rui-ming,CHENG Yong-feng,LU Xian-long,et al.Gray Prediction Ultimate Bearing Capacity of Single Pile Based on Genetic Algorithm[J].Engineering Journal of Wuhan University,2007,40(S1):270-273.
[16]赵 岚,王国体,许小健.微分进化算法在单桩极限承载力灰色优化预测中的应用[J].合肥工业大学学报:自然科学版,2009,32(2):245-248. ZHAO Lan,WANG Guo-ti,XU Xiao-jian.Application of the Differential Evolutionary Algorithm in Optimal Prediction of Ultimate Bearing Capacity of Single Piles[J].Journal of Hefei University of Technology:Natural Science,2009,32(2):245-248.
[17]郑永保,陈建功,董占文.应用径向基函数神经网络预测单桩极限承载力[J].地下空间,2004,24(4):519-521. ZHENG Yong-bao,CHEN Jian-gong,DONG Zhan-wen.Application of RBF Neural Network in Estimat-ing Vertical Ultimate Bearing Capacity of Single Piles[J].Underground Space,2004,24(4):519-521.
[18]王德意,罗兴锜,匡伯燕,等.遗传算法在水轮发电机模糊神经网络励磁控制器设计中的应用研究[J].水力发电学报,2004,23(6):24-28. WANG De-yi,LUO Xing-qi,KUANG Bo-yan,et al.Study on Application of Genetic Algorithm in Design of Fuzzy Neural Network Excitation Controller of Hydro-generator[J].Journal of Hydroelectric Engin-eering,2004,23(6):24-28.
[19]TAKAGI T,SUGENO M.Fuzzy Identification of Systems and Its Applications to Modeling and Control[J].IEEE Transactions on Systems,Management and Cybernetics,1985,15(1):116-132.
[20]刘贵喜,赵曙光,杨万海.基于T-S模糊模型的隶属度函数学习算法[J].西安电子科技大学学报:自然科学版,2000,27(5):550-553. LIU Gui-xi,ZHAO Shu-guang,YANG Wan-hai.Learning Algorithm of Membership Functions Based on the T-S Fuzzy Model[J].Journal of Xidian University:Natural Science,2000,27(5):550-553.
[21]杨位光.地基及基础[M].北京:中国建筑工业出版社,2000. YANG Wei-guang.Soils and Foundations[M].Beijing:China Architecture & Building Press,2000.
[22]汪能君,雷勇军,郑荣跃.单桩极限承载力的ANFIS预测分析[J].黑龙江科技学院学报,2006,16(2):124-126,134. WANG Neng-jun,LEI Yong-jun,ZHENG Rong-yue.Predicting Bearing Capacity of Single Pile Using ANFIS[J].Journal of Heilongjiang Institute of Science and Technology,2006,16(2):124-126,134.

Memo

Memo:
-
Last Update: 2010-12-20