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

卷:

27卷

期数:

2010年04期

页码:

25-30

栏目:

出版日期:

2010-12-20

文章信息/Info

Title:

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

作者:

薛新华^1,2,魏永幸¹,赵晓彦³

1. 中国中铁二院工程集团有限责任公司,四川 成都 610031; 2. 浙江大学 建筑工程学院, 浙江 杭州 310058; 3. 西南交通大学 土木工程学院,四川 成都 610031

Author(s):

XUE Xin-hua^1,2, 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

关键词:

单桩竖向极限承载力;  模拟退火算法;  模糊神经网络;  预测模型

Keywords:

vertical ultimate bearing capacity of single pile;  simulated annealing algorithm;  fuzzy neural network;  predicting model

分类号:

TU473.1

DOI:

-

文献标志码:

A

摘要:

为合理、准确地预测单桩竖向极限承载力,借助模糊神经网络较强的学习能力和模糊逻辑推理功能,建立了基于模拟退火算法的单桩竖向极限承载力预测模型,对收集到的样本进行了训练预测,并与常规的减法聚类算法预测结果进行了对比。分析结果表明:基于模拟退火算法的模糊神经网络模型预测单桩竖向极限承载力是可行有效的,具有较大的工程实用价值。

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.

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备注/Memo

备注/Memo:

收稿日期:2010-08-20
基金项目:国家自然科学基金项目(40772174)
作者简介:薛新华(1977-),男,山东惠民人,中国中铁二院工程集团有限责任公司工程师,工学博士,博士后,E-mail:ouqdxxh@163.com。

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更新日期/Last Update: 2010-12-20