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基于FWD的旧水泥混凝土路面实测数据分析
引用本文:张忠义.基于FWD的旧水泥混凝土路面实测数据分析[J].交通科技与经济,2007,9(2):1-3.
作者姓名:张忠义
作者单位:西南交通大学,土木工程学院,四川,成都,610031
摘    要:根据某旧水泥混凝土路面改建时的FWD检测数据,研究了旧层状体系路面的评价方法及模量反算。分析弯沉盆面积对旧路状况进行评价的实用性。通过理论回归和神经网络的反算,比较普通网络与噪音网络的反算能力,提出人工神经网络实现模量反算的关键技术。

关 键 词:旧路  落锤式弯沉仪  弯沉盆  模量反算  人工神经网络
文章编号:1008-5696(2007)02-0001-03
修稿时间:2006-10-12

Analysis of data from field test for existing cement concrete pavement based on falling weight deflectometer
ZHANG Zhong-yi.Analysis of data from field test for existing cement concrete pavement based on falling weight deflectometer[J].Technology & Economy in Areas of Communications,2007,9(2):1-3.
Authors:ZHANG Zhong-yi
Institution:Department of eivil engineering, Southwest Jiaotong University, Chengdu Siehuan 610031
Abstract:The back calculation of pavement layer moduli and the method of estimate is researched according to the measured FWD data from the field test of the existing cement concrete pavement road.The practicability of estimate of existing cement concrete pavement based on deflection basin is analyzed.The back calculating ability of common network and noise network is compared through the back calculation of theoretical regress and neural networks method.The key techniques are presented for the back calculation of moduli with artificial neural networks.
Keywords:exsiting pavement  falling weight deflectometer  deflection basin  back calculation of moduli  artificial neural network
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