Recent publications (2025)
Bedload transport rates of microplastics on natural sediments under open channel flow
Bedload transport rates of microplastics on natural sediments under open channel flow
Bedload transport rates of microplastics on natural sediments under open channel flow
This study presents a semi-theoretical bedload transport model for exposed microplastics, combining CFD–DEM simulations and experiments to demonstrate that exposed MPs exhibit systematically higher transport rates than natural sediments.
Meng, D., & Li, Y. P. (2025). Bedload transport rates of microplastics on natural sediments under open channel flow: The role of exposure in acceleration. Journal of Hazardous Materials, 139867.
Tensor basis neural networks for unsteady turbulent flow prediction
Bedload transport rates of microplastics on natural sediments under open channel flow
Bedload transport rates of microplastics on natural sediments under open channel flow
This study extends the Tensor-Basis Neural Network (TBNN) framework by integrating it with Long Short-Term Memory (LSTM) networks. This hybrid approach improves both accuracy and numerical stability in modeling unsteady turbulence.
Myklebust, F. D., Fuhrman, D. R., & Li, Y. P. (2025). Tensor basis neural networks for unsteady turbulent flow prediction. Physics of Fluids, 37(7).
Breaking wave impacts on an elastic plate
Simulation of a wall-mounted stem in uniform flow
Simulation of a wall-mounted stem in uniform flow
This study experimentally reveals how structural elasticity and aeration govern breaking-wave impacts, leading to pressure spreading and high-frequency vibrations, and proposes a Cauchy-number-based scaling law that unifies impulsive and quasi-hydrostatic deformation regimes.
Hu, Z., & Li, Y. P. (2025). Breaking wave impacts on an elastic plate. Journal of Fluid Mechanics, 1015, A54.
Simulation of a wall-mounted stem in uniform flow
Simulation of a wall-mounted stem in uniform flow
Simulation of a wall-mounted stem in uniform flow
This study develops a coupled IBM–VFIFE numerical framework to reveal how stem flexibility fundamentally alters vortex dynamics and hydrodynamic loads, identifying distinct flow regimes for rigid stems and stiffness-dependent dynamic response classes for flexible stems in uniform flow.
Chen, W., & Li, Y. P. (2025). Simulation of a wall-mounted stem in uniform flow. Journal of Fluid Mechanics, 1013, A17.
Research projects
Settling and remobilization of microplastics in tropical coastal waters
On the mechanisms of wave-structure-soil interaction in the coastal regions
On the mechanisms of wave-structure-soil interaction in the coastal regions
The aim of the project is to identify the hydrodynamic behaviour of MPs in tropical coastal regions with addressing the following research questions: (1) What are the effects of biofouling and aggregation on the benthic distribution of MPs by changing their settling velocities through size, shape and density? (2) What are the fundamental thresholds for remobilization for non-buoyant MPs mixed with bottom sediments? The project received funding from Ministry of Education and is currently hiring a PhD and a Postdoc.
On the mechanisms of wave-structure-soil interaction in the coastal regions
On the mechanisms of wave-structure-soil interaction in the coastal regions
On the mechanisms of wave-structure-soil interaction in the coastal regions
This research project focuses on developing the multiphysics numerical model of wave-structure-seabed interaction for the stability assessment of marine structures and coastal protection. The project received funding from Ministry of Education, Singapore.
POSEIDON: Predicting cOaStal brEakIng waves with advanced Data-driven turbulence mOdelliNg
POSEIDON: Predicting cOaStal brEakIng waves with advanced Data-driven turbulence mOdelliNg
POSEIDON: Predicting cOaStal brEakIng waves with advanced Data-driven turbulence mOdelliNg
The project is to improve the turbulence models with machine learning for predicting the coastal and ocean engineering problems involving turbulence such as breaking waves, sediment transport. Large-scale experiments will also be performed. The project received funding from Ministry of Education and is currently hiring a PhD and a Postdoc.
National coastal-inland flood model for climate change
POSEIDON: Predicting cOaStal brEakIng waves with advanced Data-driven turbulence mOdelliNg
POSEIDON: Predicting cOaStal brEakIng waves with advanced Data-driven turbulence mOdelliNg
This project is to develope a national model for Coastal-Inland flood. Prof. Li Yuzhu Pearl is in charge of the task of Sediment transport prediction work package.