Riprap incipient motion for overtopping flows with machine learning models

• Published in: Journal of hydroinformatics Vol. 22; no. 4; pp. 749 - 767
• Main Authors: Najafzadeh, Mohammad, Oliveto, Giuseppe
• Format: Journal Article
• Language: English
• Published: London IWA Publishing 01.07.2020
• Subjects: Artificial intelligence; Correlation analysis; Datasets; Empirical equations; Engineering; Froude number; Hydraulics; Incipient motion; Learning algorithms; Machine learning; Mathematical models; Overtopping; Radial basis function; Riprap; Riverbanks; Rivers; Root-mean-square errors; Shear strength; Spline functions; Splines; Statistical analysis; Stone; Stream banks; Support vector machines; Thickness; Uniformity coefficient

Riprap stones are frequently applied to protect rivers and channels against erosion processes. Many empirical equations have been proposed in the past to estimate the unit discharge at the failure circumstance of riprap layers. However, these equations lack general impact due to the limited range of...