Neural Network Analysis of Passing Ship Forces and Moments in Confined Channels

Flory, John F.; Evans, Jack; Weller, Sam; Fenical, S.; Salcedo, F.

doi:10.23919/oceans40490.2019.8962568

Cited by 1 publication

(1 citation statement)

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“…Their effects are not independent and may significantly change with other parameter changes. Flory et al [ 1 ] have proposed a neural network analysis of passing ship forces, including all the influencing parameters.…”

Section: Introductionmentioning

confidence: 99%

The Large-Scale Physical Model Tests of the Passing Ship Effect on a Ship Moored at the Solid-Type Berth

Abramowicz-Gerigk

Burciu

Jaworski³

et al. 2022

Sensors

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The paper presents experimental research on hydrodynamic forces generated on a ship moored at a long quay wall, modeling the solid-type berth, by a passing ship. The proper prediction of interactions between the moored and passing ships is important for design and operational purposes. The results of the presented parametric study are presented as a space-time series of the forces as the functions of passing ship velocity and transverse separation distance between the ships. The experimental test setup constructed on the lake and the large scale of the manned physical ship models enabled a simulation of the real maneuvering situation. The force measurements were taken on the moored ship model fixed to the pantographs rigidly attached to the wall. The twin pantographs were attached to force sensors on the deck of the model by a system of movable joints, enabling the measurement of surge and sway forces. The presented method was verified based on available experimental and numerical data, showing a good agreement with the results.

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Section: Introductionmentioning

confidence: 99%