Assessment of whipping and springing on a large container vessel

International Journal of Naval Architecture and Ocean Engineering.
2014.
Jun,
6(2):
442-458

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

- Published : June 30, 2014

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INTRODUCTION

There are around 100,000 merchant ships over 100
VESSEL AND SENSORS CONSIDERED

An 8,600
Ship characteristics.

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- • Raw: unfiltered data (RAW).

Sensor location and definition.

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Sensor characteristics.

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TRADE AND MEASUREMENT PERIOD

The data considered was collected from 3
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FATIGUE ASSESSMENT

Fatigue analysis is based on analyzing the times series following three steps: Reversal identification, establishing the Rainflow spectra and estimating the fatigue accumulation damage. The reversals are identified when the local derivative of the time series change sign i.e. “Peak” when sign changes from positive to negative and “Valley” when it changes from negative to positive. The Rainflow counting procedures is made according to ASTM standards (
ASTM, 1997
). It counts the number of half cycles of a given range (bin) making spectra at regular time intervals e.g. 5 minutes or one hour. The one hour rainflow spectra are stored and used in this paper to recalculate the fatigue damage based on chosen S-N curve parameters, target fatigue lives and SCF.
The fatigue is calculated based on the rainflow spectra and Stress Concentration Factor (SCF) of 2 for the considered sensors. Thereafter, the damage summation is calculated according to Miner Palmgren rule and S-N curve for welded details in air or corrosive environment can be used (
DNV, 2010
). This process is made for the total stress time series, which include wave induced vibration (DYN) and this gives the total fatigue damage. Thereafter the process in made for the stress time series which is filtered to remove contribution of stresses above 0.3
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FATIGUE DAMAGE VERSUS WIND CONDITIONS

The system receives also data from other ship systems, such as the GPS and the wind sensor. The collected wind data give the wind speed and direction relative to the ship every 5minutes. It should be noted that the wind sensor has not been always effective during the period before 21
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Fatigue damage versus wind heading (DMP).

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Fatigue damage versus wind heading (DMS).

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EXTREME LOADING

For the stress level in deck amidships, the dominating contribution comes from the vertical bending moment, especially at high stress levels. Other components of the stress are axial force, horizontal bending moment and axial warping stresses. In addition, the still water bending will contributes to the overall loading. During the measurement period, the minimum (sagging) and maximum (hogging) dynamic values are determined for each 5 minutes. This is done for both the total signal that included whipping and also for the wave frequency signal, and the results are illustrated in
Figs. 20
and
21
for sensors DMP and DMS, respectively. The stress from the rules wave bending moment from IACS-URS11 is 103
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Maximum sagging and hogging stress with and without whipping and the IACS wave bending stress rule.

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1997
Standard practices for cycle counting in fatigue analysis, Annual Book of ASTM Standards, designation E1049-85
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Fatigue Assessment of Ship structures . DNV Classification Note No. 30.7
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Citing 'Assessment of whipping and springing on a large container vessel
'

@article{ E1JSE6_2014_v6n2_442}
,title={Assessment of whipping and springing on a large container vessel}
,volume={2}
, url={http://dx.doi.org/10.2478/IJNAOE-2013-0191}, DOI={10.2478/IJNAOE-2013-0191}
, number= {2}
, journal={International Journal of Naval Architecture and Ocean Engineering}
, publisher={The Society of Naval Architects of Korea}
, author={Barhoumi, Mondher
and
Storhaug, Gaute}
, year={2014}
, month={Jun}