2018
DOI: 10.1016/j.apor.2018.08.017
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Pseudo-impulsive solutions of the forward-speed diffraction problem using a high-order finite-difference method

Abstract: This paper considers pseudo-impulsive numerical solutions to the forward-speed diffraction problem, as derived from classical linearized potential flow theory. Both head-and following-seas cases are treated. Fourth-order finite-difference approximations are applied on overlapping, boundary-fitted grids to obtain solutions using both the Neumann-Kelvin and the double-body flow linearizations of the problem. A method for computing the pseudo-impulsive incident wave forcing in finite water depth using the Fast Fo… Show more

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Cited by 8 publications
(6 citation statements)
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“…[37] is shown for F r = 0.2. For F r = 0.3, the added resistance calculated using the 3D finite-difference model of Amini-Afshar & Bingham (OWD3D-Seakeeping) [38,39,40] is also presented for the comparison.…”
mentioning
confidence: 99%
“…[37] is shown for F r = 0.2. For F r = 0.3, the added resistance calculated using the 3D finite-difference model of Amini-Afshar & Bingham (OWD3D-Seakeeping) [38,39,40] is also presented for the comparison.…”
mentioning
confidence: 99%
“…7,13,14 Approaches for solving the PF problem have also been developed using the Finite Difference Method (FDM), both for pure nonlinear wave propagation, [15][16][17] nonlinear wave-structure interaction, 18 linear wave-structure interaction using pseudo-impulsive time domain formulations at zero speed, [19][20][21] and with forward speed. 22,23 Using an FDM-based model, the entire fluid domain is discretized to solve the Laplace problem, hereby resulting in a larger linear system of equations compared to the BEM discretization; however, the system is sparse due to the locally applied stencils. This can-via iterative solvers-lead to an optimal (N) scaling in work effort for higher-order accurate schemes.…”
Section: Choosing the Numerical Methods For A Potential Flow Formulationmentioning
confidence: 99%
“…On the body boundary, normalΓbody$$ {\Gamma}^{\mathrm{body}} $$, a pseudo‐impulsive velocity, truex˙k$$ {\dot{x}}_k $$, is to be imposed. This velocity will be based on a Gaussian displacement signal, xk$$ {x}_k $$, 22,23 and designed such that: (1) the Gaussian is tailored to contain a specific range of frequencies, (2) the signal is practically zero at t=0$$ t=0 $$, and (3) the resultant radiation force signal, Fjk$$ {F}_{jk} $$, should reach a zero steady‐state solution at t=T$$ t=T $$. With these requirements, a unit height Gaussian displacement signal is defined as xkfalse(tfalse)=eprefix−2π2s2()tprefix−t02,1emwith1emt0=logfalse(ϵfalse)prefix−2π2s2,1emand,1ems=prefix−fr22lnfalse(rfalse),$$ {x}_k(t)={e}^{-2{\pi}^2{s}^2{\left(t-{t}_0\right)}^2},\kern1em \mathrm{with}\kern1em {t}_0=\sqrt{\frac{\log \left(\epsilon \right)}{-2{\pi}^2{s}^2}},\kern1em \mathrm{and},\kern1em s=\sqrt{\frac{-{f}_r^2}{2\ln (r)}}, $$ where t0$$ {t}_0 $$ is the time location of the Gauss...…”
Section: Numerical Methods and Discretizationmentioning
confidence: 99%
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“…The application of this strategy to solving the forward-speed seakeeping problem was presented in [1,2]. Here the details of the basic solution strategy were described and demonstrations of both convergence and the scaling of the solution effort were provided.…”
Section: Introductionmentioning
confidence: 99%