Data-Driven Prediction of Added Wave Resistance in Regular Head Waves at the Early Stage of Ship Design Using Multivariable Regression and Monte Carlo Sampling
Abstract This paper presents a data-driven empirical method for predicting the added wave resistance in regular head waves i the early stages of ship design. The proposed approach is based on a multivariable nonlinear regression model using nondimensional hull parameters (L/B, B/T, block coefficient), the Froude number...