Non-Gaussian Air Gap Response Models for Floating Structures

Sweetman, Bert; Winterstein, Steven R.

doi:10.1061/(asce)0733-9399(2003)129:3(302)

Cited by 9 publications

(10 citation statements)

References 13 publications

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“…Sufficient air gap can prevent the lower deck surface from wave slamming. There are many studies on the platform air gap response: Bert[ 1 ]� [ 3] and Manuel [ 4] [ 5] focused on the second-order diffraction of waves, and used extreme value theory (EVT) to calculate the minimum numerical value of the air gap response of their model, the extreme value distributions they used in their numerical simulations are Gaussian model and Hermit model; Lv [6] summarized the studies of the air gap responses of FPSO platforms; Ma [7] and Tao [8]calculated the air gap responses of truss-spar and semi-submersible platform using EVT separately.…”

Section: Introductionmentioning

confidence: 99%

Notice of Retraction: Time domain simulation of the air gap response of a semi-submersible platform subject to waves

Zhu

2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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According to a semi-submersible platform, the platform air gap response is studied by the method of nonlinear time domain coupled analysis. In the numerical simulation, the wave surface elevations and the wave forces are calculated by boundary element and perturbation expansion methods, the mooring forces are calculated by piecewise extrapolating method, and the platform motions are calculated by Runge-Kutta method. The numerical results indicate that the scattering waves have little influence on the platform air gap response, the platform heave motions have great influence on the platform air gap response, and the lower surface of the quarter deck is the most dangerous area due to the platform pitch motions.

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Section: Introductionmentioning

confidence: 99%

Notice of Retraction: Time domain simulation of the air gap response of a semi-submersible platform subject to waves

Zhu

2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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“…Two methods proposed by Sweetman and Winterstein [1] include non-linear, non-Gaussian effects as part Bert Sweetman newly proposed method. In [1], the incident waves were considered a principal source of non-Gaussian effects;…”

Section: Prediction Of Extremes From First-order Diffraction Analysismentioning

confidence: 99%

“…A less computationally intensive approach based on narrow-band theory was also proposed in the same work [1]. This method assumes the maximum event as predicted from first-order theory coincides with that in second-order theory.…”

Section: Prediction Of Extremes From First-order Diffraction Analysismentioning

confidence: 99%

“…4, all terms are included except η 2,d , which is assumed equal to zero. This method was previously proposed by Sweetman and Winterstein [1].…”

Section: Stokes Second-order Correctionmentioning

confidence: 99%

“…Problems such as these, which involve both sum and difference frequencies, lead to eigenvalue problems of size 2n, twice the number of frequency components of η 1 (t). Implementation of the theory is described in [22], with extensions to airgap analysis from [6], and is further discussed in [1]. Results presented here use an optimization routine to minimize error in matching skewness and kurtosis values in the Hermite model (e.g., [22]).…”

Section: Page 7 Of 29 Bert Sweetmanmentioning

confidence: 99%

See 2 more Smart Citations

Practical Airgap Prediction for Offshore Structures

Sweetman

2004

Journal of Offshore Mechanics and Arctic Engineering

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Two new methods are proposed to predict airgap demand. Airgap demand is the maximum expected increase in the water surface elevation caused incident waves interacting with an offshore structure. The first new method enables inclusion of some second-order effects, though it is based on only first-order diffraction results. The method is simple enough to be practical for use as a hand-calculation in the early stages of design. Two existing methods of predicting airgap demand based on first-order diffraction are also briefly presented and results from the three methods are compared with model test results. All three methods yield results superior to those based on conventional post-processing of first-order diffraction results, and comparable to optimal post-processing of second-order diffraction results. A second new method is also presented; it combines extreme value theory with statistical regression to predict extreme airgap events using model test data. Estimates of extreme airgap events based on this method are found to be more reliable than estimates based on extreme observations from a single model test. This second new method is suitable for use in the final stages of design.

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Air Gap Prediction for Floating Bodies Using a 3D Numerical Wave Tank Approach

Ganesan

Sen

2018

J. Marine. Sci. Appl.

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Non-Gaussian Air Gap Response Models for Floating Structures

Cited by 9 publications

References 13 publications

Notice of Retraction: Time domain simulation of the air gap response of a semi-submersible platform subject to waves

Notice of Retraction: Time domain simulation of the air gap response of a semi-submersible platform subject to waves

Practical Airgap Prediction for Offshore Structures

Air Gap Prediction for Floating Bodies Using a 3D Numerical Wave Tank Approach

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