首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于人工神经网络的沥青路面剩余寿命分析
引用本文:樊永华,洪秀安.基于人工神经网络的沥青路面剩余寿命分析[J].三峡大学学报(自然科学版),2005,27(3):234-236.
作者姓名:樊永华  洪秀安
作者单位:1. 三峡大学,土木水电学院,湖北,宜昌,443002
2. 长江科学院宜昌科学研究所,湖北,宜昌,443002
摘    要:路面整体结构性能评估是公路养护或重建决策优化的一项重要参考依据,一般情况下,如果路面的服务能力指数降到可接受水平以下,就有必要对当前整体性能(剩余寿命)进行评价,决定是否需要延长寿命或者进行重建设计,因此,利用人工神经网络(ANN)方法建立了沥青路面剩余寿命预测模型,由此程序可以由落锤弯沉仪(FWD)弯沉数据快速预估路面的剩余寿命,这种方法直观、准确,并且不需要反算模量,对于道路工作者的养护和补强罩面工作具有参考价值。

关 键 词:沥青路面  剩余寿命  人工神经网络  服务能力指数  整体性能
文章编号:1672-948X(2005)03-0234-03
修稿时间:2005年4月7日

Analysis of Remaining Service Life for Asphalt Pavement Based on Artificial Neural Network
Fan Yonghua,Hong Xiuan.Analysis of Remaining Service Life for Asphalt Pavement Based on Artificial Neural Network[J].Journal of China Three Gorges University(Natural Sciences),2005,27(3):234-236.
Authors:Fan Yonghua  Hong Xiuan
Abstract:Assessing the overall structure aging of pavement is a crucial reference in optimizing the maintenance or rehabilitation strategies of the highway network. In general, if the serviceability index of a pavement falls below an acceptable level, the estimation of the current integrity of the pavement in terms of its remaining service life is desirable to support decisions, such as whether to extend the service life or to design and rebuild the section. Therefore, a prediction model of remaining service life for asphalt pavement was built based on artificial neural network. The remaining service life for asphalt pavement can be predicted rapidly and correctly according to FWD data, dispensing with modulus calculation. The model proposed may has great value in the daily work of maintenance or rehabilitation.
Keywords:asphalt pavement  remaining service life  artificial neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号