摘要
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。
Based 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.
出处
《石油化工高等学校学报》
CAS
2012年第5期71-75,共5页
Journal of Petrochemical Universities
基金
黑龙江省交通厅重点项目(T1102)
关键词
沥青路面
沥青老化
BP神经网络
针入度
Asphalt pavement
Asphalt aging
BP neural network
Penetration
