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Yonghai He, Songtao Lv, Nasi Xie, Huilin Meng, Wei Lei, Changyu Pu, Huabao Ma, Ziyang Wang, Guozhi Zheng and Xinghai Peng
This study addressed the complex problems of selecting a constitutive model to objectively characterize asphalt mixtures and accurately determine their viscoelastic properties, which are influenced by numerous variables. Inaccuracies in model or paramete...
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Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou and Binbin Yong
Electricity load forecasting has seen increasing importance recently, especially with the effectiveness of deep learning methods growing. Improving the accuracy of electricity load forecasting is vital for public resources management departments. Traditi...
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Songtao Lv, Shuangshuang Wang, Tong Guo, Chengdong Xia, Jianglong Li and Gui Hou
As a natural modifier of asphalt, rock asphalt has been widely used to improve its thermal stability and aging resistance. However, the thermal cracking resistance of asphalt modified by rock asphalt is unsatisfactory. In order to improve the thermal cra...
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Songtao Lv, Xiyan Fan, Chengdong Xia, Jianlong Zheng, Dong Chen and Lingyun You
In order to explore the moduli decay patterns of asphalt mixtures under different loading conditions, the nonlinear fatigue damage model was implemented in order to simulate the moduli decay patterns. Then, the direct tensile, indirect tensile, and uniax...
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