Probabilistic model for predicting deep-draught channel design: Savannah, GA entrance channel

Probabilistic model for predicting deep-draught channel design: Savannah, GA entrance channel A vertical ship motion study was conducted to evaluate three proposed channel alignments S-1, S-3, and S-8 in the Savannah, GA entrance channel. These alignment changes (doglegs) are proposed to allow ships to reach deeper water in less distance, with reduced dredging costs. The Channel Analysis and Design Evaluation Tool (CADET) was used to predict the underkeel clearance and annual days of accessibility. The clearance and accessibility results were calculated for each channel option and include vertical ship motion allowances based on the wave-induced coupled heave, roll, and pitch. This provides a risk-based method of determining channel project depth based on two ship loading conditions for the three channel alignment options. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ocean Engineering Elsevier

Probabilistic model for predicting deep-draught channel design: Savannah, GA entrance channel

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Publisher
Elsevier
Copyright
Copyright © 2015 Elsevier Ltd
ISSN
0029-8018
eISSN
1873-5258
D.O.I.
10.1016/j.oceaneng.2015.07.047
Publisher site
See Article on Publisher Site

Abstract

A vertical ship motion study was conducted to evaluate three proposed channel alignments S-1, S-3, and S-8 in the Savannah, GA entrance channel. These alignment changes (doglegs) are proposed to allow ships to reach deeper water in less distance, with reduced dredging costs. The Channel Analysis and Design Evaluation Tool (CADET) was used to predict the underkeel clearance and annual days of accessibility. The clearance and accessibility results were calculated for each channel option and include vertical ship motion allowances based on the wave-induced coupled heave, roll, and pitch. This provides a risk-based method of determining channel project depth based on two ship loading conditions for the three channel alignment options.

Journal

Ocean EngineeringElsevier

Published: Nov 1, 2015

References

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