东北大学主页平台 Zaobao Liu--Faculty page of Dr. Zaobao Liu -- Wang, K., Liu, Z.*, Zeng, T., Wang, F., Shen, W., & Shao, J. (2022). Performance of enhanced geothermal system with varying injection-production parameters and reservoir properties. Applied Thermal Engineering, 207, 118160. doi:https://doi.org/10.1016/j.applthermaleng.2022.118160

Zaobao Liu

Professor
Supervisor of Doctorate Candidates
Name (English):Zaobao Liu
Name (Pinyin):liuzaobao
Date of Employment:2018-05-03
School/Department:Northeastern Unviersity
Business Address:辽宁省沈阳市和平区文化路三巷11号东北大学南门综合实验楼436
Contact Information:
Status:Employed
Discipline:Geotechnical Engineering
Mining Engineering

2020Elected:Candidates of national youth talent program
2022-09Previously Honored and Elected:2020-2022年度东北大学优秀教师
2022-05Previously Honored and Elected:东北大学“五四奖章”青年岗位能手
2021-04Previously Honored and Elected:国家级青年人才
2018-12Previously Honored and Elected:辽宁省青年拔尖人才
2020-12Previously Honored and Elected:沈阳市领军人才
2021-06Previously Honored and Elected:本科毕业设计(论文)优秀指导教师

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Current position： Faculty page of Dr. Zaobao Liu >> Scientific Research >> Paper Publications

Wang, K., Liu, Z.*, Zeng, T., Wang, F., Shen, W., & Shao, J. (2022). Performance of enhanced geothermal system with varying injection-production parameters and reservoir properties. Applied Thermal Engineering, 207, 118160. doi:https://doi.org/10.1016/j.applthermaleng.2022.118160

Release Time:2022-02-17| Hits:

Title of Paper:Wang, K., Liu, Z.*, Zeng, T., Wang, F., Shen, W., & Shao, J. (2022). Performance of enhanced geothermal system with varying injection-production parameters and reservoir properties. Applied Thermal Engineering, 207, 118160. doi:https://doi.org/10.1016/j.applthermaleng.2022.118160

Translation or Not:No

Prev One:Li, Long, Zaobao Liu, Jimei Shen, Fei Wang, Wenbiao Qi, and Seokwon Jeon. 2023. 'A LightGBM-based strategy to predict tunnel rockmass class from TBM construction data for building control', Advanced Engineering Informatics, 58: 102130.

Next One:Li, L., Liu, Z*., Zhou, H., Zhang, J., Shen, W., & Shao, J. (2022). Prediction of TBM cutterhead speed and penetration rate for high-efficiency excavation of hard rock tunnel using CNN-LSTM model with construction big data. Arabian Journal of Geosciences 15(3), 280. doi:10.1007/s12517-022-09542-0