Mamdani approach for 2% wave run-up on breakwaters
Safe use of densely populated coastal zones depends on the performance of coastal structures against severe wave attack and strong currents. Economic and safe design of the crest height of these structures require accurate estimation of 2% wave run-up value on breakwater slope. Although, in practice, regression-based approach is widely-used, it is demonstrated herein that a set of restrictive assumptions hinder its use. As an alternative, Mamdani Fuzzy Logic model suggested with no restrictive assumptions. Hence, the goal is to provide an alternative approach that is better than the regression-based approach at estimating 2% wave run-up level. In order to verify and compare the presented method's applicability, 261 irregular wave run-up data of Van der Meer and Stam are considered for impermeable, permeable and homogenous rubble mound structures. Finally, 13 unique prototype data of Van de Walle are employed to test the proposed model. It is demonstrated that Mamdani Fuzzy Logic model gives smaller error than the regression-based approach.
2% wave run-up breakwaters artificial intelligence mamdani fuzzy approach crest level approximation