Fuzzy model forecasting of offshore bar-shape profiles under high waves |
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| Affiliation: | 1. Civil and Environmental Engineering, Worcester Polytechnic Institute (WPI), Worcester, MA 01609-2280, USA;2. Civil Engineering, Kwandong University, 522 Naegok, Gangneung, Gangwon 210-710, South Korea;1. Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 14, Niš, Serbia;2. Faculty of Mechanical Engineering, University of Niš, Aleksandra Medvedeva 14, Niš, Serbia;1. Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Lembah Pantai, 50603 Kuala Lumpur, Malaysia;2. Odette School of Business, University of Windsor, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada;1. Grup de Recerca en Sistemes Intel·ligents, Ramon Llull University, Quatre Camins 2, 08022 Barcelona, Spain;2. Grup de Recerca en Internet Technologies & Storage, Ramon Llull University, Quatre Camins 2, 08022 Barcelona, Spain;3. Departamento de Ingeniería Matemática e Informática, Universidad Pública de Navarra, Campus de Arrosadía, 31006 Pamplona, Spain |
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| Abstract: | This paper proposes a fuzzy model for predicting the complex changes of offshore beach topographies under high waves. The fuzzy model was developed through the integration of autoregressive exogenous input models, a Takagi–Sugeno fuzzy model, subtractive clustering algorithms, and a weighted least squares estimation technique. The height, the period of ocean wave signals, and the initial cross-shore bar shapes are used as input signals while the topographic features of the bar shape profiles are adopted as the output signals. To demonstrate the effectiveness of the proposed fuzzy model, a variety of laboratory experiments at 1/50th scale were conducted and compared to the CSHORE mathematical model. The experimental studies show that the proposed fuzzy model is effective in predicting the topographic features of beach profiles and performs better than the CSHORE model. |
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| Keywords: | Fuzzy logic Beach sediment Beach erosion High waves CSHORE model |
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