Framework for uncertainty quantification of wave–structure interaction in a flume

In this paper, we propose a numerical procedure for the quantification of uncertainties in wave-structure interaction. We utilize the smoothed particle hydrodynamics (SPH) scheme for modeling the wave mechanics, coupled one-way with a finite element method (FEM) for the structural response. Physical wave flumes are extensively used in the study of hydrodynamics especially in wave-structure interaction (WSI) and prediction of forces to near-shore structures in disaster mitigation and offshore structures in the oil and gas, and more recently renewable energy sector. Over the years, numerical wave flumes have been developed extensively to enable the modeling of complex wave-structure interaction. However, most of these studies are deterministic and limited to using either simple flexible beams or rigid monolithic structures to model the structural part in the WSI. Additionally, uncertainties are commonly observed in both wave and structural parameters and need to be accounted for. This work presents a numerical framework to enable uncertainty quantification for wave-structure interaction problems in terms of the forces experienced by the structure. A one-way coupling between SPH with the FEM and uncertainty quantification is proposed. We employ the so-called Tokyo wave flume geometry, which has potential for future surrogate modeling in WSI. The developed model is validated using numerical and experimental results from the literature and is used to demonstrate the prediction of probabilistic responses of structures under breaking and non-breaking wave scenarios.

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Publication Details

Journal
Computational Particle Mechanics
Published
2025-05-22
DOI
https://doi.org/10.1007/s40571-025-00967-4
Citations
2
Primary Topic
Fluid Dynamics Simulations and Interactions
Type
article
Field-Weighted Citation Impact
2.67

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article

Framework for uncertainty quantification of wave–structure interaction in a flume

Sangyoon Yi, Alistair Revell, Georgios Fourtakas, Ajay B. Harish et al.
2 citations
Computational Particle Mechanics
Fluid Dynamics Simulations and Interactions
2.67
article

Framework for uncertainty quantification of wave–structure interaction in a flume

Sangyoon Yi, Alistair Revell, Georgios Fourtakas, Ajay B. Harish, Vijay Nandurdikar, Xianqi Luo
article en
2 citations

Abstract

In this paper, we propose a numerical procedure for the quantification of uncertainties in wave-structure interaction. We utilize the smoothed particle hydrodynamics (SPH) scheme for modeling the wave mechanics, coupled one-way with a finite element method (FEM) for the structural response. Physical wave flumes are extensively used in the study of hydrodynamics especially in wave-structure interaction (WSI) and prediction of forces to near-shore structures in disaster mitigation and offshore structures in the oil and gas, and more recently renewable energy sector. Over the years, numerical wave flumes have been developed extensively to enable the modeling of complex wave-structure interaction. However, most of these studies are deterministic and limited to using either simple flexible beams or rigid monolithic structures to model the structural part in the WSI. Additionally, uncertainties are commonly observed in both wave and structural parameters and need to be accounted for. This work presents a numerical framework to enable uncertainty quantification for wave-structure interaction problems in terms of the forces experienced by the structure. A one-way coupling between SPH with the FEM and uncertainty quantification is proposed. We employ the so-called Tokyo wave flume geometry, which has potential for future surrogate modeling in WSI. The developed model is validated using numerical and experimental results from the literature and is used to demonstrate the prediction of probabilistic responses of structures under breaking and non-breaking wave scenarios.

Computational Particle MechanicsVol. 12(6)
University of Manchester (GB), University of California, Berkeley (US)
University of Manchester, Engineering and Physical Sciences Research Council, Division of Mathematical Sciences
Openalex Percentile: Top 12%
Fluid Dynamics Simulations and Interactions
2.67
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