多相场下岩土及地下工程安全分析
1. 多相场非线性耦合作用的表征建模
2. 多相场下安全表观特征智能识别分析
一、代表性纵向项目
1. 中华人民共和国科学技术部, 国家重点研发计划, 2021YFB2600800, 海底隧道建造与韧性增强关键技术: 海底隧道运维安全状态智慧感知与智能诊断技术, 2021-12 至 2024-12, 2252万元, 在研, 子课题主持
2. 国家自然科学基金委员会, 联合基金项目, U20B6005, 南海天然气水合物成藏机理及安全高效开采机制, 2021-01-01 至 2024-12-31, 1100万元, 在研, 子课题主持
3. 国家自然科学基金委员会, 青年科学基金项目, 41907245, 层状赋存对水合物沉积物的力学特性影响机理及其本构表征, 2020-01-01 至 2022-12-31, 25万元, 完成, 主持
4. 中国博士后科学基金会, 中国博士后科学基金特别资助, 2020T130471, 开采扰动下层状赋存含水合物沉积物的变形与破坏规律研究, 2020-10 至 2022-10, 18万元, 完成 主持
5. 国家自然科学基金委员会, 面上项目, 51778474, 盾构隧道结构病害图像深度学习识别与演化预测, 2018-01-01至 2021-12-31, 62万元, 结题, 参与
6. 上海市科委,上海市2018年度“科技创新行动计划”社会发展科技攻关项目,基于人工智能的轨道交通结构快速巡检及预警关键技术研究,编号:18dz1205900,2018-06至2021-06, 300万元,结题, 参与
二、代表性横向项目
1. HJJ,岩石地下工程开挖面安全风险智能诊断决策系统与设备研究,JJ202120029, 2022-12 至 2023-12, 120万元,主持
2. 上海申通地铁集团,基于点云数据解算全断面变形的盾构隧道微扰动注浆控制研究, JS-KY22R005-3, 2022-09 至 2024-09, 25万元,主持
3. 云南省交通运输厅,科技攻关项目,2018-25,山区公路岩土边坡与隧道工程施工安全智能感知及预警技术,2018-07至2020-06,180万元,结题,参与
1. Zhou, M., Shadabfar, M., Huang, H., Leung, Y. F., & Uchida, S. (2022). Efficient back analysis of multiphysics processes of gas hydrate production through artificial intelligence. Fuel, 323, 124162.
2. Zhou, M, Cheng, W, Huang, H & Chen, J (2021), ‘A Novel Approach To Automated 3D Spalling Defects Inspection In Railway Tunnel Linings Using Laser Intensity And Depth Information,’ Sensors, 21(17), P. 5725.
3. Zhou, M., Xing, Z., Nie, C., Shi, Z., Hou, B., & Fu, K. (2022). Accurate Prediction of Tunnel Face Deformations in the Rock Tunnel Construction Process via High-Granularity Monitoring Data and Attention-Based Deep Learning Model. Applied Sciences, 12(19), 9523.
4. Zhou, M, Chen, J, Huang, H, Zhang, D, Zhao, S & Shadabfar, M (2021), ‘Multi-Source Data Driven Method For Assessing The Rock Mass Quality Of A Natm Tunnel Face Via Hybrid Ensemble Learning Models,’ International Journal Of Rock Mechanics And Mining Sciences, 147, P. 104914.
5. Zhou, M, Shadabfar, M, Xue, Y, Zhang, Y & Huang, H (2021), ‘Probabilistic Analysis Of Tunnel Roof Deflection Under Sequential Excavation Using Ann-Based Monte Carlo Simulation And Simplified Reliability Approach,’ ASCE-ASME Journal Of Risk And Uncertainty In Engineering Systems, Part A: Civil Engineering, 7(4), P. 04021043.
6. Zhou, M, Shadabfar, M, Huang, H, Leung, YF & Uchida, S (2020), ‘Meta-Modelling Of Coupled Thermo-Hydro- Mechanical Behaviour Of Hydrate Reservoir,’ Computers And Geotechnics, 128, P. 103848.
7. Zhou, M, Soga, K & Yamamoto, K (2020), ‘Upscaling Techniques For Fully Coupled Thm Simulation And Application To Hydrate Gas Production Tests,’ Computers And Geotechnics, 124, P. 103596.
8. Zhou, M, Soga, K, Yamamoto, K & Huang, H (2020), ‘Geomechanical Responses During Depressurization Of Hydrate-Bearing Sediment Formation Over A Long Methane Gas Production Period,’ Geomechanics For Energy And The Environment, 23, P. 100111.
9. Zhou, M., Soga, K., & Yamamoto, K. (2018). Upscaled Anisotropic Methane Hydrate Critical State Model For Turbidite Hydrate‐Bearing Sediments At East Nankai Trough. Journal Of Geophysical Research: Solid Earth, 123(8), 6277-6298.
10. 周鸣亮,贺洁.2022.层状赋存含水合物沉积物的本构模型研究[J].工程地质学报,30(5):1427-1437.doi:10.1354/j.cnki.jeg.202-042
11. 周鸣亮, 程文, 张东明, & 黄宏伟. (2021). 运营期盾构隧道结构病害的自动化检测与三维可视化. 应用基础与工程科学学报. 中文EI
12. Li, Z., Huang, H., Zhou, M., & Zhang, D. (2023). Failure responses of rock tunnel faces during excavation through the fault-fracture zone. Underground Space
13. He, J., Zhu, H. and Zhou, M*, 2022. DEM-Based Study on the Mechanical Behaviors of Pore-Filling MHBS under Drained True Triaxial Conditions Varying the Intermediate Stress Ratio of Constant Mean Effective Stresses. International Journal of Geomechanics, 22(9), p.04022132.
14. Xue, Y., Wang, J., Zhou, M*, Liu, J., Guo, Y., & Wang, (2022). Prediction of optimum TBM penetration strategy with minimum energy consumption in hard rocks, Computers and Geotechnics, 148, 104844.
15. Xue, Y., Cao, Y., Zhou, M*, Zhang, F., Shen, K., & Jia, F. (2022). Rock mass fracture maps prediction based on spatiotemporal image sequence modeling. Computer-Aided Civil and Infrastructure Engineering, 1– 19.
16. Man, J., Zhou, M*, Zhang, D., Huang, H., & Chen, J. (2022). Face Stability Analysis Of Circular Tunnels In Layered Rock Masses Using The Upper Bound Theorem. Journal Of Rock Mechanics and Geotechnical Engineering.
17. Du, Y, Liu, F, Zhou, M*, & He, J (2022), ‘Multi-Scale Pullout Behaviour Of Strip Anchor Plates Embedded In Marine Hydrate Bearing Sediments,’ Computers And Geotechnics, 141, P. 104472.
18. Chen, J, Huang, H, Cohn, AG, Zhou, M*, Zhang, D & Man, J (2022), ‘A Hierarchical Dcnn-Based Approach For Classifying Imbalanced Water Inflow In Rock Tunnel Faces,’ Tunnelling And Underground Space Technology, 122, P. 104399.
19. Wang, F., Huang, H., Zhang, D., & Zhou, M*. (2022). Cracking Feature And Mechanical Behavior Of Shield Tunnel Lining Simulated By A Phase-Field Modeling Method Based On Spectral Decomposition. Tunnelling And Underground Space Technology, 119, 104246.
20. Zhang, J, Yang, S, Zhang, L & Zhou, M (2022), ‘Bayesian Estimation Of Soil-Water Characteristic Curves,’ Canadian Geotechnical Journal, 10.1139/cgj-2021-0070
21. Zhang, DM, Xie, XC, Zhou, ML*, Huang, ZK & Zhang, DM (2021), ‘An Incident Of Water And Soil Gushing In A Metro Tunnel Due To High Water Pressure In Sandy Silt,’ Engineering Failure Analysis, 121, P. 105196.
22. Zhao, S, Zhang, D, Xue, Y, Zhou, M* & Huang, H (2021), ‘A Deep Learning-Based Approach For Refined Crack Evaluation From Shield Tunnel Lining Images,’ Automation In Construction, 132, P. 103934.
23. Chen, J, Huang, H, Zhou, M* & Chaiyasarn, K (2021), ‘Towards Semi-Automatic Discontinuity Characterization In Rock Tunnel Faces Using 3Dpoint Clouds,’ Engineering Geology, 291, P. 106232.
24. Chen, J, Zhou, M*, Huang, H, Zhang, D & Peng, Z (2021), ‘Automated Extraction And Evaluation Of Fracture Trace Maps From Rock Tunnel Face Images Via Deep Learning,’ International Journal Of Rock Mechanics And Mining Sciences, 142, P. 104745. ESI
25. Chen, J, Zhou, M*, Zhang, D, Huang, H & Zhang, F (2021), ‘Quantification Of Water Inflow In Rock Tunnel Faces Via Convolutional Neural Network Approach,’ Automation In Construction, 123, P. 103526.
26. Xue, Y, Zhang, S, Zhou, M*, & Zhu, H (2021), ‘Novel SFM-DLT Method For Metro Tunnel 3D Reconstruction And Visualization,’ Underground Space, 6(2), Pp. 134–141.
27. Huang, H, Cheng, W, Zhou, M*, Chen, J & Zhao, S (2020), ‘Towards Automated 3D Inspection Of Water Leakages In Shield Tunnel Linings Using Mobile Laser Scanning Data,’ Sensors, 20(22), P. 6669.
28. Zhang, JZ, Huang, HW, Zhang, DM, Zhou, ML*, Tang, C & Liu, DJ (2021), ‘Effect Of Ground Surface Surcharge On Deformational Performance Of Tunnel In Spatially Variable Soil,’ Computers And Geotechnics, 136, P. 104229.
29. Du, J, Liu, B, Wang, Z, Zheng, G, Jiang, NJ, Zhou, M* & Zhou, H (2021), ‘Dynamic Behavior Of Cement-Stabilized Organic-Matter-Disseminated Sand Under Cyclic Triaxial Condition,’ Soil Dynamics And Earthquake Engineering, 147, P. 106777.
30. Wang, FY, Zhou, ML*, Zhang, DM, Huang, HW & Chapman, D (2019), ‘Random Evolution Of Multiple Cracks And Associated Mechanical Behaviors Of Segmental Tunnel Linings Using A Multiscale Modeling Method,’ Tunnelling And Underground Space Technology, 90, Pp. 220–230.
31. Chenguang Wu, Jie Zhang, Mingliang Zhou, Lei Wang,Resistance factors for design of slopes in a homogenous soil layer, Rock Mechanics Bulletin, 2022, 100022, ISSN 2773-2304,
32. Jiang, Y., Li, N., Jiang, H.H., Zhou, M.L. and Zhang, J.L., 2022. Determination of the Length of the Rock Bolts for Tunnels with Consideration of the Nonlinear Rheological Behavior of Squeezing Rock. Applied Sciences, 12(17), p.8560.
33. 赵志超, 朱志鹏, 王栋, & 周鸣亮. (2022). 含水合物粉细砂的三轴试验及模拟. 中国海洋大学学报(自然科学版),第52卷,(3), 124-130.
34. Chaiyasarn, K., Buatik, A., Mohamad, H., Zhou, M., Kongsilp, S., & Poovarodom, N. (2022). Integrated pixel-level CNN-FCN crack detection via photogrammetric 3D texture mapping of concrete structures. Automation in Construction, 140, 104388.
35. Rodsin, K., Joyklad, P., Hussain, Q., Mohamad, H., Buatik, A., Zhou, M., ... & Elnemr, A. (2022). Behavior Of Steel Clamp Confined Brick Aggregate Concrete Circular Columns Subjected to Axial Compression. Case Studies In Construction Materials, 16, E00815.
36. Xie, X. C., Ceccato, F., Zhou, M. L., & Zhang, D. M. (2022). Hydro-Mechanical Behaviour Of Soils During Water-Soil Gushing In Shield Tunnels Using MPM. Computers And Geotechnics, 145, 104688.
37. Liu, Y., Guo, J., Zhao, S., Li, W., Li, H., Li, W., ... & Zhang, J. (2021). Investigation And Estimation On Deagglomeration Of Nanoparticle Clusters In Teethed In-Line High Shear Mixers. Chemical Engineering Journal, 426, 130795.
38. Chen, J, Huang, H, Cohn, AG, Zhang, D & Zhou, M (2021), ‘Machine Learning-Based Classification Of Rock Discontinuity Trace: Smote Oversampling Integrated With GBT Ensemble Learning,’ International Journal Of Mining Science And Technology.
39. Xie, X., Zhang, D. M., Huang, H. W., Zhou, M., L., Lacasse, S., & Liu, Z. Q. (2021). Data Fusion–Based Dynamic Diagnosis For Structural Defects Of Shield Tunnel. ASCE-ASME Journal Of Risk And Uncertainty In Engineering Systems, Part A: Civil Engineering, 7(2), 04021019.
40. Chaiyasarn, K., Ali, N., Phuphasuwan, P., Poovarodom, N., Joyklad, P., Mohamad, H., Zhou, M. & Hussain, Q. (2021). Flexural Behavior Of Natural Hybrid FRP-Strengthened RC Beams And Strain Measurements Using BOTDA. Polymers, 13(20), 3604.
41. Pan, B., Zhang, W., Cao, J., Ma, X., & Zhou, M. (2020). Dynamic Responses Of Soils Around A One-Hole Double-Track Tunnel With The Metro Train Meeting. Shock And Vibration, 2020.
42. Pan, B., Zhang, W., Zheng, S., Zhou, M. L., Zhao, C. F., & Spencer, B. F. (2020). Modelling Ambient Vibration Responses Induced By Operation Of Metro Train On Curved Rail Segment With Small Curvature Radius. Mathematical Problems In Engineering, 2020.
43. Shadabfar, M., Gokdemir, C., Zhou, M., Kordestani, H., & Muho, E. V. (2020). Estimation Of Damage Induced By Single-Hole Rock Blasting: A Review On Analytical, Numerical, And Experimental Solutions. Energies, 14(1), 29.
44. Chen, J, Zhang, D, Huang, H, Shadabfar, M, Zhou, M & Yang, T (2020), ‘Image-Based Segmentation And Quantification Of Weak Interlayers In Rock Tunnel Face Via Deep Learning,’ Automation In Construction, 120, P. 103371.
45. Far, M. S., Huang, H., Xue, Y., & Zhou, M. (2019). A Discussion Of “A Simplified Prediction Method For Evaluating Tunnel Displacement Induced By Laterally Adjacent Excavations” By Zheng et al. (2018). Computers And Geotechnics, 109, 293-296.
一、授权发明专利
1. CN202010927863.9 一种隧道横断面几何形态检测装置及检测方法 2021-01
2. CN202011293972.6 一种围岩原位测试装置及方法 2021-02
3. CN202010928502.6 一种基于轴线纠偏的隧道横断面几何形态的检测方法 2021-01
4. CN202010927865.8 一种隧道横断面几何形态的检测装置 2021-01
二、实用新型
1. CN202021155503.3 一种山岭钻爆隧道初次衬砌的力学响应监测设备安装机构 2021-01