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A Soft-roadbed Settlement Prediction Model Based on RBFNN

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成果类型:
期刊论文、会议论文
作者:
Peng, Xianghua;Wang, Zhichao;Yu, Min*
通讯作者:
Yu, Min
作者机构:
[Peng, Xianghua] Cent South Univ Forestry & Technol, Swan Coll, Changsha 410004, Hunan, Peoples R China.
[Yu, Min] Cent South Univ Forestry & Technol, Inst Rheol Mech & Mat Engn, Changsha 410004, Hunan, Peoples R China.
[Wang, Zhichao] Xiangtan Univ, Coll civil Engn & Mech, Xiangtan, Hunan 411105, Peoples R China.
通讯机构:
[Yu, Min] C
Cent South Univ Forestry & Technol, Inst Rheol Mech & Mat Engn, Changsha 410004, Hunan, Peoples R China.
语种:
英文
关键词:
Prediction model;RBF neural network;Soft-roadbed;Subgrade settlement
期刊:
Advanced Materials Research
ISSN:
1022-6680
年:
2013
卷:
639-640
期:
1
页码:
535-538
会议名称:
1st International Conference on Advances in Civil Infrastructure Engineering (ICACIE 2012)
会议论文集名称:
Advanced Materials Research
会议时间:
SEP 15-16, 2012
会议地点:
Changsha, PEOPLES R CHINA
会议主办单位:
[Yu, Min] Cent South Univ Forestry & Technol, Inst Rheol Mech & Mat Engn, Changsha 410004, Hunan, Peoples R China.^[Peng, Xianghua] Cent South Univ Forestry & Technol, Swan Coll, Changsha 410004, Hunan, Peoples R China.^[Wang, Zhichao] Xiangtan Univ, Coll civil Engn & Mech, Xiangtan, Hunan 411105, Peoples R China.
会议赞助商:
Cent S Univ Forestry & Technol, Hunan Univ, Univ So California, Univ California Davis, Sapienza Univ Rome, Natl Nat Sci Fdn, Cent S Univ, Xiangtan Univ, Changsha Univ Sci & Technol, Hunan Univ Sci & Technol, Hunan Univ Technol, Univ S China, Survey & Design Inst, Hunan Prov Commun Plann, Foshan Highway & Bridge Construct Co Ltd
主编:
Zhou, XY He, GJ Fan, YL Xiao, Y Kunnath, SK Monti, G
出版地:
KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
978-3-03785-584-3
基金类别:
Youth Scientific Research Fund of Central South University of Forestry Technology [QJ2011040B]
机构署名:
本校为第一且通讯机构
院系归属:
土木工程学院
涉外学院
摘要:
The control of subgrade settlement has been the main influencing factor on highroad pavement quality, so estimating settlement amount after construction based on designed embankment height and planning the construction filling height beforehand through the settlement prediction is a very important work. Because of the complex coupling properties and high nonlinear characteristics of the factors influencing foundation settlement, a soft-roadbed settlement prediction model based on RBFNN (Radial Basis Function Neural Network) is proposed, combining the global fitting properties of RBFNN. The ana...

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