Andrea Montanino , Miguel Masó Sotomayor , Alessandro Franci
{"title":"One-way coupled Eulerian–Lagrangian strategy for wave propagation and impact on coastal areas","authors":"Andrea Montanino , Miguel Masó Sotomayor , Alessandro Franci","doi":"10.1016/j.cnsns.2025.108845","DOIUrl":null,"url":null,"abstract":"<div><div>Coastal hazards have gained importance in recent years due to the increasing number of extreme phenomena induced by climate change. The numerical simulation of such events represents a considerable challenge, due to the high non-linearity of the problem, the broadness of the domain, and the diversity of the involved scales. Holistic three-dimensional simulations of the whole domain are typically too computationally demanding and may not be necessary for the wave propagation analysis, where reduced models based on shallow-water hypotheses can be employed. However, these simplified approaches fail when modeling the intricate impact phenomena that occur in coastal zones. To reduce the computational cost without losing accuracy, we propose a one-way coupled approach using a Shallow-Water Eulerian solver to model wave propagation in the far field, and a complete three-dimensional Navier–Stokes Lagrangian strategy to simulate the wave impacting the coastal areas. A computational interface is used to store the kinematic information during the far-field analysis and to transfer it as an inlet condition to the near-field solver. The accuracy, efficiency and robustness of the proposed approach are shown in both 2D and 3D by studying two experimental tests.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"147 ","pages":"Article 108845"},"PeriodicalIF":3.4000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1007570425002564","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Coastal hazards have gained importance in recent years due to the increasing number of extreme phenomena induced by climate change. The numerical simulation of such events represents a considerable challenge, due to the high non-linearity of the problem, the broadness of the domain, and the diversity of the involved scales. Holistic three-dimensional simulations of the whole domain are typically too computationally demanding and may not be necessary for the wave propagation analysis, where reduced models based on shallow-water hypotheses can be employed. However, these simplified approaches fail when modeling the intricate impact phenomena that occur in coastal zones. To reduce the computational cost without losing accuracy, we propose a one-way coupled approach using a Shallow-Water Eulerian solver to model wave propagation in the far field, and a complete three-dimensional Navier–Stokes Lagrangian strategy to simulate the wave impacting the coastal areas. A computational interface is used to store the kinematic information during the far-field analysis and to transfer it as an inlet condition to the near-field solver. The accuracy, efficiency and robustness of the proposed approach are shown in both 2D and 3D by studying two experimental tests.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.