IMECH-IR  > 流固耦合系统力学重点实验室
基于神经网络的沥青路面实际老化预测系统的研究
Alternative TitlePredicting system of asphalt aging in field based on the neural network
张海涛; 姜海洋
Source Publication石油化工高等学校学报/JOURNAL OF PETROCHEMICAL UNIVERSITIES
2012-10-15
Volume25Issue:5Pages:71-75
ISSN1006-396X
Abstract在实验室测定沥青短期老化数据基础上,利用MATLAB建立BP神经网络系统,通过沥青路面实际老化数据调查与处理,用国内几个地区不同使用年限的沥青路面实际老化25℃针入度数据训练,预测得到寒区沥青路面不同使用年限的沥青25℃针入度等沥青路面实际老化数据,为建立沥青模拟老化与实际老化的关系提供理论依据。
Other AbstractBased on the data of the asphalt aging simulated in lab,through the data collection of the asphalt aging in the field,the BP neural network system was established by MATLAB to train the data of the asphalt 25 ℃ penetration in the different using time asphalt pavement from different regions in China,and predicted the 25 ℃ penetration of the different using time asphalt pavement aging in the field in cold zone.The theoretical method for the relationships between asphalt aging simulated in lab and aging in field has been put forward.
Keyword沥青路面 沥青老化 Bp神经网络 针入度
Subject Area固体力学
URL查看原文
Language中文
Funding Organization黑龙江省交通厅重点项目(T1102)
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/46499
Collection流固耦合系统力学重点实验室
Corresponding Author张海涛
Recommended Citation
GB/T 7714
张海涛,姜海洋. 基于神经网络的沥青路面实际老化预测系统的研究[J]. 石油化工高等学校学报/JOURNAL OF PETROCHEMICAL UNIVERSITIES,2012,25(5):71-75
APA 张海涛,&姜海洋.(2012).基于神经网络的沥青路面实际老化预测系统的研究.石油化工高等学校学报/JOURNAL OF PETROCHEMICAL UNIVERSITIES,25(5),71-75.
MLA 张海涛,et al."基于神经网络的沥青路面实际老化预测系统的研究".石油化工高等学校学报/JOURNAL OF PETROCHEMICAL UNIVERSITIES 25.5(2012):71-75.
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