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Re-Calibrating of Dissipation Models for Breaking Wave Based on Parametric Wave Approach Using Root-Mean-Square Height and Mean Wave Height
Wave height transformation plays a crucial role in the investigation of beach deformation and coastal structure design. Parametric wave approach is a widely used method for calculating the transformation of root-mean-square wave height only. The accuracy of existing models depends on wave and beach conditions. Due to the advantage and computational efficiency of parametric wave approach, it would be useful if this method could also be used for modeling mean wave height transformation. This paper focuses on improving the accuracy of existing parametric wave models in modeling root-mean-square wave height transformation under a wide range of wave and beach conditions. Additionally, the paper also explores the applicability of the parametric wave approach in predicting mean wave height transformation by recalibrating coefficients of existing models. Seven parametric wave models are examined and calibrated using both laboratory and field data to predict both root-mean-square and mean wave height transformation. The findings of the study show that the accuracy of root-mean-square wave height transformation prediction is enhanced after modifying coefficients. Furthermore, the paper demonstrates that the parametric wave approach can be effectively employed to predict mean wave height transformation. With adjusted coefficients, parametric wave models estimate mean wave height with great accuracy.
Re-Calibrating of Dissipation Models for Breaking Wave Based on Parametric Wave Approach Using Root-Mean-Square Height and Mean Wave Height
Wave height transformation plays a crucial role in the investigation of beach deformation and coastal structure design. Parametric wave approach is a widely used method for calculating the transformation of root-mean-square wave height only. The accuracy of existing models depends on wave and beach conditions. Due to the advantage and computational efficiency of parametric wave approach, it would be useful if this method could also be used for modeling mean wave height transformation. This paper focuses on improving the accuracy of existing parametric wave models in modeling root-mean-square wave height transformation under a wide range of wave and beach conditions. Additionally, the paper also explores the applicability of the parametric wave approach in predicting mean wave height transformation by recalibrating coefficients of existing models. Seven parametric wave models are examined and calibrated using both laboratory and field data to predict both root-mean-square and mean wave height transformation. The findings of the study show that the accuracy of root-mean-square wave height transformation prediction is enhanced after modifying coefficients. Furthermore, the paper demonstrates that the parametric wave approach can be effectively employed to predict mean wave height transformation. With adjusted coefficients, parametric wave models estimate mean wave height with great accuracy.
Re-Calibrating of Dissipation Models for Breaking Wave Based on Parametric Wave Approach Using Root-Mean-Square Height and Mean Wave Height
Lecture Notes in Civil Engineering
Reddy, J. N. (editor) / Wang, Chien Ming (editor) / Luong, Van Hai (editor) / Le, Anh Tuan (editor) / Luu, Loc Xuan (author) / Duong, Nga Thanh (author) / Tran, Linh Hoang (author) / Nguyen, Truong Quang (author)
The International Conference on Sustainable Civil Engineering and Architecture ; 2023 ; Da Nang City, Vietnam
Proceedings of the Third International Conference on Sustainable Civil Engineering and Architecture ; Chapter: 206 ; 1907-1914
2023-12-12
8 pages
Article/Chapter (Book)
Electronic Resource
English
Parametric wave approach , Root-mean-square wave height , Mean wave height , Energy dissipation , Wave height transformation Energy , Sustainable Architecture/Green Buildings , Structural Materials , Geotechnical Engineering & Applied Earth Sciences , Building Construction and Design , Construction Management , Engineering
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