自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

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中南大学学报(英文版)

Journal of Central South University

Vol. 11    No. 2    June 2004

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Application of functional-link neural network in evaluation
of sublayer suspension based on FWD test
CHEN Yu(陈 瑜)1, 2,ZHANG Qi-sen(张起森)2

1. College of Civil Architectural Engineering,Central South University,Changsha 410075,China;
2. College of Highway Engineering,Changsha University of Science and Technology,Changsha 410076,China

Abstract:Several methods for evaluating the sublayer suspension beneath old pavement with falling weight deflectorme-ter(FWD), were summarized and the respective advantages and disadvantages were analyzed. Based on these methods,the evaluation principles were improved and a new type of the neural network, functional-link neural network was pro-posed to evaluate the sublayer suspension with FWD test results. The concept of function link, learning method of func-tional-link neural network and the establishment process of neural network model were studied in detail. Based on the old pavement over-repairing engineering of Kaiping section, Guangdong Province in G325 National Highway, the application of functional-link neural network in evaluation of sublayer suspension beneath old pavement based on FWD test data on the spot was investigated. When learning rate is 0.1 and training cycles are 405, the functional-link network error is less than 0.000 1, while the optimum chosen 4-8-1 BP needs over 10 000 training cycles to reach the same accuracy with less pre-cise evaluation results. Therefore, in contrast to common BP neural network,the functional-link neural network adopts single layer structure to learn and calculate, which simplifies the network, accelerates the convergence speed and improves
the accuracy. Moreover the trained functional-link neural network can be adopted to directly evaluate the sublayer suspen-sion based on FWD test data on the site. Engineering practice indicates that the functional-link neural model gains very excellent results and effectively guides the pavement over-repairing construction.

 

Key words: sublayer suspension; falling weight deflectormeter; deflection value; functional-link neural network

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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