代表性成果
代表性论文:
[1]Ruijie Zhao, Shaoshuai Shi*,Rubing Yao, Shijie Yang. Application of relationship model for the measurement while drilling data to predict rock uniaxial compressive strength for tunneling[J].Rock Mechanics and Rock Engineering, 2024, 24(5): 1-17.(中科院一区TOP期刊)
[2]Ruijie Zhao, Rubing Yao, Tao Zhang, Shaoshuai Shi*. Estimation of tunnel in-situ stress magnitude and direction using measurement while drilling data and acoustic wave information[J].Tunnelling and Underground Space Technology. 2024, 24(7): 105905.(中科院一区TOP期刊)
[3]Shaoshuai Shi*,Ruijie Zhao, Shucai Li, Xiaokun Xie, Liping Li, Zongqing Zhou, Hongliang Liu. Intelligent prediction of surrounding rock deformation of shallow buried highway tunnel and its engineering application[J].Tunnelling and Underground Space Technology, 2019,90:1-11.(中科院一区TOP期刊)
[4]Ruijie Zhao, Shaoshuai Shi*, Shucai Li, Jie Lu, Yang Xue, Tao Zhang. Intelligent prediction of tunnel surrounding rock advance classification in high altitude and high seismic intensity area and its engineering application[J].Bulletin of Engineering Geology and theEnvironment,2025, 84(1): 1-17.(JCR一区)
[5]Ruijie Zhao,Shaoshuai Shi*, Shucai Li, Weidong Guo, Tao Zhang, Xiansen Li, Jie Lu. Deep learning for intelligent prediction of rock strength by adopting measurement while drilling data[J].International Journal of Geomechanics,ASCE, 2023,23(4).(JCR二区)
奖励荣誉:
[1]2024年度JS科技进步二等奖(排名10)
[2]2024年度中国·山东博士(后)创新创业大赛金奖(排名2)
[3]2023年度青海省科技进步一等奖(排名15)
[4]2023年度中国铁道学会科技进步一等奖(排名19)
[5]2022年度中施企协技术发明一等奖(排名6)