Regression analysis and curve fitting for the hydrodynamic coefficients of an underwater vehicle undergoing straight-ahead motion
2022; Elsevier BV; Volume: 262; Linguagem: Inglês
10.1016/j.oceaneng.2022.112135
ISSN1873-5258
AutoresXavier Ling, Zhi Quan Leong, Christopher Chin, Michael Woodward, Jonathan Duffy,
Tópico(s)Maritime Transport Emissions and Efficiency
ResumoThis paper presents the regression analysis for the hydrodynamic coefficients of the bare hull configuration of a generic underwater vehicle hullform, the SUBOFF undergoing straight-ahead motion at different submergence depths relative to the free surface. The datapoints for the regression analysis were obtained using Computational Fluid Dynamics (CFD). The regression analysis used the Curve Fitting Toolbox from MATLAB and employed several methods to obtain the optimal empirical equations to describe the hydrodynamic coefficients with respect to forward speed and submergence depth in the form piecewise functions due to the different complex regimes observed. Each hydrodynamic coefficient was then reconstructed from their respective empirical equations and comparisons were made against an extended CFD datapoints which were not part of the regression process, showing good agreement between CFD datapoints and regression predictions. • The change in hydrodynamic coefficients is a result of wave superposition. • As submergence depth increases, hydrodynamic coefficients follow an exponential decay. • Piecewise analysis was required when conducting regression analysis. • Multivariable analysis was used to capture the effects of both depth and speed.
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