Fanmeng Kong
- Predicting uniaxial compressive strength of building stone based on index tests: Correlations, validity, reliability, and unification. Dans: Construction and Building Materials, v. 438 (août 2024). (2024):
- Research on optimization strategy of TBM tunneling parameters based on stratum perception and simulation tunneling experiment. Dans: Tunnelling and Underground Space Technology, v. 147 (mai 2024). (2024):
- The formation mechanism of dynamic water and mud inrush geohazard triggered by deep-buried tunnel crossing active fault: Insights from the geomechanical model test. Dans: Tunnelling and Underground Space Technology, v. 142 (décembre 2023). (2023):
- Smart Risk Assessment Model of Water Inrush in Submarine Tunnel through AHP-TOPSIS and Intelligent Computing. Dans: Journal of Physics: Conference Series, v. 2083, n. 4 (1 novembre 2021). (2021):
- TBM Tunnel Surrounding Rock Classification Method and Real-Time Identification Model Based on Tunneling Performance. Dans: International Journal of Geomechanics, v. 22, n. 6 (juin 2022). (2022):
- Effect of grain size or anisotropy on the correlation between uniaxial compressive strength and Schmidt hammer test for building stones. Dans: Construction and Building Materials, v. 299 (septembre 2021). (2021):
- Water and mud inrush hazard in underground engineering: Genesis, evolution and prevention. Dans: Tunnelling and Underground Space Technology, v. 114 (août 2021). (2021):
- Using Indirect Testing Methods to Quickly Acquire the Rock Strength and Rock Mass Classification in Tunnel Engineering. Dans: International Journal of Geomechanics, v. 20, n. 5 (mai 2020). (2020):
- Stability analysis and optimization of excavation method of double-arch tunnel with an extra-large span based on numerical investigation. Dans: Frontiers of Structural and Civil Engineering, v. 15, n. 1 (février 2021). (2021):
- Prediction of the Surrounding Rock Deformation Grade for a High-Speed Railway Tunnel Based on Rough Set Theory and a Cloud Model. Dans: Iranian Journal of Science and Technology, Transactions of Civil Engineering, v. 45, n. 1 (octobre 2020). (2020):
- Analysis of the factors influencing the nonuniform deformation and a deformation prediction model of soft rock tunnels by data mining. Dans: Tunnelling and Underground Space Technology, v. 109 (mars 2021). (2021):
- Predicting rockburst with database using particle swarm optimization and extreme learning machine. Dans: Tunnelling and Underground Space Technology, v. 98 (avril 2020). (2020):
- Parameter Preferences for Length Detection of Reinforcement Cage in Bored Pile. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 2 (avril 2020). (2020):