TY - JOUR
T1 - Mamdani approach for 2% wave run-up on breakwaters
AU - Erdik, Tarkan
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - 2% wave run-up
KW - Artificial intelligence
KW - Breakwaters
KW - Crest level approximation
KW - Mamdani fuzzy approach
UR - http://www.scopus.com/inward/record.url?scp=84890751964&partnerID=8YFLogxK
U2 - 10.3233/IFS-2012-0530
DO - 10.3233/IFS-2012-0530
M3 - Article
AN - SCOPUS:84890751964
SN - 1064-1246
VL - 26
SP - 1
EP - 9
JO - Journal of Intelligent and Fuzzy Systems
JF - Journal of Intelligent and Fuzzy Systems
IS - 1
ER -