Numerical modelling of breaking wave impact loads on a vertical seawall retrofitted with different geometrical configurations of recurve parapets

Ravindar, Rajendran; Sriram, V.; Salauddin,

doi:10.2166/wcc.2022.211

Cited by 5 publications

(2 citation statements)

References 44 publications

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“…Physically modelled data is generally used in further analysis and can underpin a sensitivity analysis to determine the influential overtopping parameters (see for example, [4][5][6][7]). With the advancement of computational fluid dynamics techniques, numerical models have been adopted to investigate wave overtopping and wave impact loads at sea defences (see for example, [8][9][10][11] presented a tool for predicting the magnitude of infragravity waves, which are long-period ocean waves in coastal areas with shallow foreshores and dikes. The tool is based on numerical models and considers factors such as wave height, water depth, and foreshore slope to make predictions.…”

Section: Introductionmentioning

confidence: 99%

Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms

2023

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Accurate prediction of wave overtopping at sea defences remains central to the protection of lives, livelihoods, and infrastructural assets in coastal zones. In addressing the increased risks of rising sea levels and more frequent storm surges, robust assessment and prediction methods for overtopping prediction are increasingly important. Methods for predicting overtopping have typically relied on empirical relations based on physical modelling and numerical simulation data. In recent years, with advances in computational efficiency, data-driven techniques including advanced Machine Learning (ML) methods have become more readily applicable. However, the methodological appropriateness and performance evaluation of ML techniques for predicting wave overtopping at vertical seawalls has not been extensively studied. This study examines the predictive performance of four ML techniques, namely Random Forest (RF), Gradient Boosted Decision Trees (GBDT), Support Vector Machines—Regression (SVR), and Artificial Neural Network (ANN) for overtopping discharge at vertical seawalls. The ML models are developed using data from the EurOtop (2018) database. Hyperparameter tuning is performed to curtail algorithms to the intrinsic features of the dataset. Feature Transformation and advanced Feature Selection methods are adopted to reduce data redundancy and overfitting. Comprehensive statistical analysis shows superior performance of the RF method, followed in turn by the GBDT, SVR, and ANN models, respectively. In addition to this, Decision Tree (DT) based methods such as GBDT and RF are shown to be more computationally efficient than SVR and ANN, with GBDT performing simulations more rapidly that other methods. This study shows that ML approaches can be adopted as a reliable and computationally effective method for evaluating wave overtopping at vertical seawalls across a wide range of hydrodynamic and structural conditions.

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Section: Introductionmentioning

confidence: 99%

Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms

2023

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“…Cooker and Peregrine call this effect flip-through. Ravindar et al found that when a seaward curved parapet is installed at the top of the wall, flip-through leads to a deflected water jet and large forces on the top part of the wall [20].…”

Section: Introductionmentioning

confidence: 99%

Force and water jet impact reduction on adjacent structures by means of free surface breakwaters

Holkema,

Aalbers,

Wellens

2023

ISP

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In head waves, water jet impacts due to run up can occur as a result of the structural configuration of some floating structures, reducing workability. Wave attenuation near the floater may reduce the risk of water jet impacts. This paper presents a numerical study of the performance and attenuation mechanisms of various plate type fixed free surface breakwaters and their ability to prevent water jet impacts on adjacent structures. Simulations are performed in two dimensions with a numerical method based on the Navier–Stokes equations in the presence of a free surface. The breakwater models are evaluated in two irregular sea states in terms of wave transmission, reflection and energy dissipation and by their ability to reduce water jets impacts on adjacent structures. A 60 degree inclined plate is found to induce a large wave energy reduction, little wave transmission and reflection and to experience little wave loading while effectively reducing water jet impacts.

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Wave-Structure Interactions at Sea Defences Using Numerical Modelling Approaches: A Systematic Literature Review

Xu,

Keenahan,

Salauddin

2024

Lecture Notes in Civil Engineering

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Numerical modelling of breaking wave impact loads on a vertical seawall retrofitted with different geometrical configurations of recurve parapets

Cited by 5 publications

References 44 publications

Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms

Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms

Force and water jet impact reduction on adjacent structures by means of free surface breakwaters

Wave-Structure Interactions at Sea Defences Using Numerical Modelling Approaches: A Systematic Literature Review

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