研究领域

研究领域为“海洋工程防灾减灾”，聚焦水利与海洋工程环境中的复杂颗粒流动过程及其灾变效应，例如泥石流、海底滑坡等自然灾害和海上风电基础冲刷、深海采矿羽流扩散污染等工程风险，采用多尺度力学、高性能计算、精密物理测量和人工智能等学科交叉手段，在探索颗粒-流体非线性体系基本物理规律的同时，发展物理-数据双驱动的海洋工程灾害数值仿真方法，为海洋防灾数字化及智能预报提供理论支撑。目前主要研究兴趣包括：

（1）颗粒流与泥沙运动（固液相变、颗粒分选、局部冲刷、水沙两相流）

（2）计算流体力学（离散元与流体耦合、无网格法、人工智能流体力学）

（3）面向海洋工程防灾减灾的数字孪生和数值模拟技术研发

主要项目

1. 清华大学深圳国际研究生院，科研启动经费，泥沙运动跨尺度理论及生态河流海岸多尺度多过程模拟方法，2023-2025，在研，主持

2. 清华大学水沙科学与水利水电工程国家重点实验室，开放基金，阶梯-深潭结构细颗粒运移沉积规律及生态响应试验研究，2023-2024，在研，主持

3. 四川大学水力学与山区河流开发保护国家重点实验室，开放基金，泥石流入江形成堰塞坝的动力学模拟及堆积结构研究，2023-2024，在研，主持

4. 广东省基础与应用基础研究基金委员会，区域联合基金-粤港澳研究团队项目，海洋-气象灾害数字孪生、数值模拟技术研发及其示范应用，2022-2026，在研，参与

5. 美国国家科学基金，GOALI项目，Flow-driven segregation at the particle level，2019-2024，在研，参与

6. 香港研究资助局，GRF项目，Multiscale study of basal resistance for geophysical granular flows over complex topography，2022-2025，在研，参与

7. 香港研究资助局，GRF项目，Towards a physics-based, multiscale paradigm for the modeling of debris flow entrainment，2021-2024，在研，参与

8. 香港研究资助局，GRF项目，Coupled fluid-particle modeling for debris flows，2014-2018，结题，参与

代表性论文

论文主要发表在物理、流体、地学、计算力学、颗粒材料等领域期刊上，包括Physical Review Letters、Journal of Fluid Mechanics、Journal of Geophysical Research、Journal of Computational Physics等顶级刊物。

[1] Jing, L., Ottino, J.M., Umbanhowar, P.B., Lueptow, R.M. Drag force in granular shear flows: Regimes, scaling laws, and implications for segregation. Journal of Fluid Mechanics, 2022, 948, A24.

[2] Duan, Y., Jing, L., Umbanhowar, P.B., Ottino, J.M., Lueptow, R.M. Segregation forces in dense granular flows: Closing the gap between single intruders and mixtures. Journal of Fluid Mechanics, 2022, 935, R1.

[3] Jing, L., Ottino, J.M., Lueptow, R.M., Umbanhowar, P.B. A unified description of gravity- and kinematics-induced segregation forces in dense granular flows. Journal of Fluid Mechanics, 2021, 925, A29.

[4] Jing, L., Ottino, J.M., Lueptow, R.M., Umbanhowar, P.B. Rising and sinking intruders in dense granular flows. Physical Review Research, 2020, 2(2), 022069.

[5] Jing, L., Kwok, C.Y., Leung, Y.F. Micromechanical origin of particle size segregation. Physical Review Letters, 2017, 11(118): 118001.

[6] Jing, L., Yang, G.C., Kwok, C.Y., Sobral, Y.D. Flow regimes and dynamic similarity of immersed granular collapse: A CFD-DEM investigation. Powder Technology, 2019, 345, 532–543.

[7] Jing, L., Yang, G.C., Kwok, C.Y., Sobral, Y.D. Dynamics and scaling laws of underwater granular collapse with varying aspect ratios. Physical Review E, 2018, 98(4): 042901.

[8] Jing, L., Kwok, C.Y., Leung, Y.F., Zhang, Z., Dai, L. Runout scaling and deposit morphology of rapid mudflows. Journal of Geophysical Research: Earth Surface, 2018, 8(123): 2004-2023.

[9] Jing, L., Kwok, C.Y., Leung, Y.F., Sobral, Y.D. Characterization of base roughness for granular chute flows. Physical Review E, 2016, 94, 052901.

[10] Jing, L., Kwok, C.Y., Leung, Y.F., Sobral, Y.D., Extended CFD-DEM for free-surface flow with multi-size granules. International Journal for Numerical and Analytical Methods in Geomechanics, 2016, 40(1): 62-79.

[11] Yang, G.C., Yang, S.C., Jing, L., Kwok, C.Y., Sobral, Y.D. Efficient lattice Boltzmann simulation of free-surface granular flows with μ(I)-rheology. Journal of Computational Physics, 2023, 479: 111956.

[12] Cui, K.F.E., Zhou, G.G.D., Jing, L. Particle segregation and diffusion in fluid-saturated granular shear flows. Physical Review Fluids, 2022, 7, 014305.

[13] Cui, K.F.E., Zhou, G.G.D., Jing, L. Viscous effects on the particle size segregation in geophysical mass flows: Insights from immersed granular shear flow simulations. Journal of Geophysical Research: Solid Earth, 2021, 126, e2021JB022274.

[14] Cui, K.F.E., Zhou, G.G.D., Jing, L., Chen, X., Song, D. Generalized friction and dilatancy laws for immersed granular flows containing large and small particles. Physics of Fluids, 2020, 32, 113312.

[15] Zhou, G.G.D., Cui, K.F.E., Jing, L., Zhao, T., Song, D., Huang, Y. Particle size segregation in granular mass flows with different ambient fluids. Journal of Geophysical Research: Solid Earth, 2020, 125, e2020JB019536.

[16] Yang, G.C., Jing, L., Kwok, C.Y., Sobral, Y.D. Size effects in underwater granular collapses: Experiments and coupled lattice Boltzmann and discrete element method simulations. Physical Review Fluids, 2021, 6, 114302.

[17] Yang, G.C., Jing, L., Kwok, C.Y., Sobral, Y.D. Pore-scale simulation of immersed granular collapse: Implications to submarine landslides. Journal of Geophysical Research: Earth Surface, 2020, 125(1), e2019JF005044.

[18] Yang, G.C., Jing, L., Kwok, C.Y., Sobral, Y.D. A comprehensive parametric study of LBM-DEM for immersed granular flows. Computers and Geotechnics, 2019, 114, 103100.

[19] Weinhart, T., Orefice, L., Post, M., et al. Fast, flexible particle simulations - An introduction to MercuryDPM. Computer Physics Communications, 2020, 249, 107129.

[20] van der Vaart, K., Thornton, A.R., Johnson, C.G., Weinhart, T., Jing, L., Gajjar, P., Gray, J.M.N.T., Ancey, C. Breaking size-segregation waves and mobility feedback in dense granular avalanches. Granular Matter, 2018, 20(3), 46.

[21] Duan, K., Kwok, C.Y., Wu, W., Jing, L. DEM modeling of hydraulic fracturing in permeable rock: influence of viscosity, injection rate and in-situ states. Acta Geotechnica, 2018, 13(5), 1187–1202.

[22] Meng, Y., Zhu, H.J., Kwok, C.Y., Kuo, M., Jing, L., Huang, X. Effect of coefficient of friction on arch network in shearing process under low confinement. Powder Technology, 2018, 335, 1–10.

荣誉奖项

“鹏城孔雀计划”特聘岗位B类，2022

国际岩土力学会议青年学者最佳论文奖，2016