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SaMPH-Hull: An Open-Source AI-Integrated GUI Tool for the Performance Evaluation of Planing Hull
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Planing hulls are widely used in the design of high-speed craft, while their performance evaluation remains challenging due to the highly nonlinear interactions between the hull and free-surface. Conventionally, the Computational Fluid Dynamics (CFD) software packages, i.e., OpenFOAM, ANSYS Fluent and STAR-CCM+, are employed to estimate the resistance, motions and other performance parameters. Although these methods provide high-accuracy results, they typically require substantial computational resources. SaMPH-Hull is introduced, in this paper, as an open-source, Python-based software for the hydrodynamic performance estimation of planing hull. Based on the Savitsky method, the software could efficiently predict motion responses and resistance components over a wide range of forward speeds in calm water, with total computation time limited to only a few minutes. Additionally, SaMPH-Hull supports automated reporting in PDF and Markdown formats with an AI-powered assistant. This framework provides naval architects and researchers with a modern, efficient workflow for rapid performance assessment and design optimization during the concept design stage of planing hull.
Title: SaMPH-Hull: An Open-Source AI-Integrated GUI Tool for the Performance Evaluation of Planing Hull
Description:
Planing hulls are widely used in the design of high-speed craft, while their performance evaluation remains challenging due to the highly nonlinear interactions between the hull and free-surface.
Conventionally, the Computational Fluid Dynamics (CFD) software packages, i.
e.
, OpenFOAM, ANSYS Fluent and STAR-CCM+, are employed to estimate the resistance, motions and other performance parameters.
Although these methods provide high-accuracy results, they typically require substantial computational resources.
SaMPH-Hull is introduced, in this paper, as an open-source, Python-based software for the hydrodynamic performance estimation of planing hull.
Based on the Savitsky method, the software could efficiently predict motion responses and resistance components over a wide range of forward speeds in calm water, with total computation time limited to only a few minutes.
Additionally, SaMPH-Hull supports automated reporting in PDF and Markdown formats with an AI-powered assistant.
This framework provides naval architects and researchers with a modern, efficient workflow for rapid performance assessment and design optimization during the concept design stage of planing hull.
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