Ensuring numerical stability of wave propagation by tuning model parameters using genetic algorithms and response surface methods. (May 2018)

• Record Type: Journal Article
• Authors: Rota Roselli, Riccardo Angelini; Vernengo, Giuliano; Altomare, Corrado; Brizzolara, Stefano; Bonfiglio, Luca; Guercio, Roberto
• Is Part Of: Environmental modelling & software. Volume 103(2018)
• Page Start: 62
• Page End: 73
• Publication Date: 2018-05
• Subjects: Smoothed particle hydrodynamics (SPH) -- Wave propagation -- Non-dominated sorting genetic algorithm (NSGA-II) -- Response surface method (RSM) -- Parameter identification.; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2018.02.003
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: The effectiveness of a Metamodel-Embedded Evolution Framework for model parameter identification of a Smoothed Particles Hydrodynamic (SPH) solver, called DualSPHysics, is demonstrated when applied to the generation and propagation of progressive ocean waves. DualSPHysics is an open-source code that provides GP-GPU acceleration, allowing for highly refined simulations. The automatic optimization framework combines the global-convergence capabilities of a Multi-Objective Genetic Algorithm (MOGA) with Response Surface Method (RSM) based on a Kriging approximation. The proposed Metamodel-Embedded Evolutionary framework is used to find the set of SPH model parameters that ensures an accurate reproduction of a 2 n d order Stokes wave propagating in a numeric flume tank. In order to demonstrate the consistency of the obtained results, the optimum set of parameters found by the framework is finally used to reproduce other 2 n d and 3 r d order Stokes waves propagating over the same flume tank.