Prediction modeling of coastal sediment transport using accelerated smooth particle hydrodynamics approach

• Main Authors: Apalowo R.K., Abas A., Zawawi M.H., Zahari N.M., Itam Z.
• Other Authors: 57195377883
• Format: Article
• Published: Elsevier Ltd 2024
• Subjects: Erosion; Liquid-sediment interaction; Ocean dynamics; Particle image velocimetry; Sediment transport; Smooth particle hydrodynamics; Computer graphics; Computer graphics equipment; Forecasting; Graphics processing unit; Program processors; Sedimentation; Velocity measurement; Coastal sediment transport; GPU-accelerated; Image velocimetry; Particle images; Prediction modelling; Sediment particles; coastal sediment; erosion; hydrodynamics; numerical model; particle image velocimetry; prediction; scour; sediment transport

A GPU-accelerated 3D smooth particle hydrodynamics (SPH) scheme is developed and applied to a coastal multi-phase liquid-sediment interaction and sediment transport. The SPH scheme's meshless design and the sediment's particle structure enable the modeling of the waves' interactions with the sediment particles beyond the limitation of the mesh-based methods. A Newtonian constitutive model is used to model the liquid phase, and the sediment transport is formulated based on the Herschel-Bulkley-Papanastasiou (HBP) model. The yield characteristics of the sediment phase are estimated using the Drucker-Prager yield criterion. Due to the parallelization of the solution on graphics processing units, the 3D SPH scheme's performance, which uses millions of particles, is improved. Good correlations were observed in the SPH predictions and experimental measurements, with a maximum difference of 4.85 %. The validated scheme is applied to formulate forecasting models for the coastline sediment transport. It is found that erosion and scouring are expected at the coastline region inclined to the direction of the sea waves, with a predicted mass erosion of about 60e3 kg in four years. The wave's velocity is also established to be directly proportional to the sediment transport. The proposed multi-phase SPH methodology is proven effective for sediment transport prediction. � 2023 Elsevier B.V.