Print Email Facebook Twitter Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores Title Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores: Accuracy versus speed Author Lashley, Christopher H. (TU Delft Hydraulic Structures and Flood Risk) Zanuttigh, B. (University of Bologna) Bricker, J.D. (TU Delft Hydraulic Structures and Flood Risk; University of Michigan) van der Meer, J.W. (IHE Delft Institute for Water Education; Van der Meer Consulting Bv) Altomare, Corrado (Universiteit Gent; Universitat Politecnica de Catalunya) Suzuki, T. (TU Delft Environmental Fluid Mechanics; Flanders Hydraulics Research) Roeber, Volker (Université de Pau et des Pays de l'Adour) Oosterlo, P. (TU Delft Hydraulic Structures and Flood Risk) Date 2020 Abstract Practitioners often employ diverse, though not always thoroughly validated, numerical models to directly or indirectly estimate wave overtopping (q) at sloping structures. These models, broadly classified as either phase-resolving or phase-averaged, each have strengths and limitations owing to the physical schematization of processes within them. Models which resolve the vertical flow structure or the full wave spectrum (i.e. sea-swell (SS) and infragravity (IG) waves) are considered more accurate, but more computationally demanding than those with approximations. Here, we assess the speed-accuracy trade-off of six well-known models for estimating q, under shallow foreshore conditions. The results demonstrate that: i) q is underestimated by an order of magnitude when IG waves are neglected; ii) using more computationally-demanding models does not guarantee improved accuracy; and iii) with empirical corrections to incorporate IG waves, phase-averaged models like SWAN can perform on par, if not better than, phase-resolving models but with far less computational effort. Subject BOSZInfragravity waveOpenFOAMSWANSWASHXBeach To reference this document use: http://resolver.tudelft.nl/uuid:ed33d88b-c035-4b7f-ac5b-fbe4bc739794 DOI https://doi.org/10.1016/j.envsoft.2020.104740 ISSN 1364-8152 Source Environmental Modelling & Software, 130 Part of collection Institutional Repository Document type journal article Rights © 2020 Christopher H. Lashley, B. Zanuttigh, J.D. Bricker, J.W. van der Meer, Corrado Altomare, T. Suzuki, Volker Roeber, P. Oosterlo Files PDF 1_s2.0_S1364815220303789_main.pdf 3.02 MB Close viewer /islandora/object/uuid:ed33d88b-c035-4b7f-ac5b-fbe4bc739794/datastream/OBJ/view