Fanmeng Kong
- (2024): Research on optimization strategy of TBM tunneling parameters based on stratum perception and simulation tunneling experiment. In: Tunnelling and Underground Space Technology, v. 147 (Mai 2024).
- (2023): The formation mechanism of dynamic water and mud inrush geohazard triggered by deep-buried tunnel crossing active fault: Insights from the geomechanical model test. In: Tunnelling and Underground Space Technology, v. 142 (Dezember 2023).
- (2021): Smart Risk Assessment Model of Water Inrush in Submarine Tunnel through AHP-TOPSIS and Intelligent Computing. In: Journal of Physics: Conference Series, v. 2083, n. 4 (1 November 2021).
- (2022): TBM Tunnel Surrounding Rock Classification Method and Real-Time Identification Model Based on Tunneling Performance. In: International Journal of Geomechanics, v. 22, n. 6 (Juni 2022).
- (2021): Effect of grain size or anisotropy on the correlation between uniaxial compressive strength and Schmidt hammer test for building stones. In: Construction and Building Materials, v. 299 (September 2021).
- (2021): Water and mud inrush hazard in underground engineering: Genesis, evolution and prevention. In: Tunnelling and Underground Space Technology, v. 114 (August 2021).
- (2020): Using Indirect Testing Methods to Quickly Acquire the Rock Strength and Rock Mass Classification in Tunnel Engineering. In: International Journal of Geomechanics, v. 20, n. 5 (Mai 2020).
- (2021): Stability analysis and optimization of excavation method of double-arch tunnel with an extra-large span based on numerical investigation. In: Frontiers of Structural and Civil Engineering, v. 15, n. 1 (Februar 2021).
- (2020): Prediction of the Surrounding Rock Deformation Grade for a High-Speed Railway Tunnel Based on Rough Set Theory and a Cloud Model. In: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 45, n. 1 (Oktober 2020).
- (2021): Analysis of the factors influencing the nonuniform deformation and a deformation prediction model of soft rock tunnels by data mining. In: Tunnelling and Underground Space Technology, v. 109 (März 2021).
- (2020): Predicting rockburst with database using particle swarm optimization and extreme learning machine. In: Tunnelling and Underground Space Technology, v. 98 (April 2020).
- (2020): Parameter Preferences for Length Detection of Reinforcement Cage in Bored Pile. In: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 2 (April 2020).
Structurae kooperiert mit
