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机译:利用人工神经网络方法粘合粘度预测橡胶沥青再生回收沥青路面粘合剂
Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China;
Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China;
Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China;
Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China;
Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. Shanghai 201804 China;
Artificial neural network; Viscosity; Rubberized asphalt rejuvenated reclaimed asphalt pavement (RAP); Binder; Blending temperature;
机译:含再生沥青路面的橡胶沥青混凝土混合物疲劳寿命的人工神经网络预测
机译:人工神经网络法估算再生沥青路面橡胶沥青混凝土的刚度。
机译:考虑能量吸收方法的混合人工神经网络 - 遗传算法法测定含有再生沥青路面和Crumb橡胶的辊压缩混凝土路面混合物的最佳组合
机译:沥青稳定沥青路面沥青老化指数BP神经网络模型预测的比较分析
机译:用于沥青路面回收的共混粘合剂的粘弹性表征。
机译:用沥青层粘合剂预测路面结构疲劳寿命的相似性方法的概念
机译:人工神经网络方法预测土工格栅加筋的柔性路面性能
机译:ppRC11 spE 4.41.2:用于资源回收和再生(CalRecycle)部门的间隙级橡胶混合物(热拌沥青和温拌沥青)的实验室和加速路面测试(apT)。副标题:暖拌沥青研究 - 热粘土和温拌沥青在粘结剂老化方面的评价。