Jianbin Li
- : Tension evaluation of prestressed strand based on combined features of nonlinear ultrasonic mixing. In: Structural Health Monitoring.
- (2024): CuEMS: Deep reinforcement learning for community control of energy management systems in microgrids. In: Energy and Buildings, v. 304 (February 2024).
- (2021): Dynamic analysis and experimental study of a Tunnel boring Machine testbed under multiple conditions. In: Engineering Failure Analysis, v. 127 (September 2021).
- (2019): Probabilistic Analysis of Ground Movements Caused by Tunneling in a Spatially Variable Soil. In: International Journal of Geomechanics, v. 19, n. 12 (December 2019).
- (2021): Diagnosing tunnel collapse sections based on TBM tunneling big data and deep learning: A case study on the Yinsong Project, China. In: Tunnelling and Underground Space Technology, v. 108 (February 2021).
- (2020): A TBM Cutter Life Prediction Method Based on Rock Mass Classification. In: KSCE Journal of Civil Engineering, v. 24, n. 9 (July 2020).
- (2019): Application and outlook of information and intelligence technology for safe and efficient TBM construction. In: Tunnelling and Underground Space Technology, v. 93 (November 2019).
- (2019): Improved support vector regression models for predicting rock mass parameters using tunnel boring machine driving data. In: Tunnelling and Underground Space Technology, v. 91 (September 2019).
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