کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7157153 | 1462708 | 2014 | 65 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using reduced hydrodynamic models to accelerate the predictor-corrector convergence of implicit 6-DOF URANS submarine manoeuvring simulations
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Using reduced hydrodynamic models to accelerate the predictor-corrector convergence of implicit 6-DOF URANS submarine manoeuvring simulations Using reduced hydrodynamic models to accelerate the predictor-corrector convergence of implicit 6-DOF URANS submarine manoeuvring simulations](/preview/png/7157153.png)
چکیده انگلیسی
An implicit predictor-corrector method is presented for the simultaneous integration of the six degrees-of-freedom (DOF) equations of motion for a manoeuvring submarine and the unsteady Reynolds-Averaged Navier Stokes (URANS) equations describing the vehicle hydrodynamics. The novel method uses coefficient-based hydrodynamic models for estimating the Jacobian matrix for Newton iteration. The method is applied to emergency rising and horizontal plane zig-zag manoeuvres. It is shown to converge faster at each timestep than under-relaxed fixed-point iteration with an optimum relaxation parameter. A simple model containing only primary linear hydrodynamic coefficients that are relatively easy to estimate or measure was found to be adequate for modelling the Jacobian matrix in these simulations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Fluids - Volume 102, 10 October 2014, Pages 215-236
Journal: Computers & Fluids - Volume 102, 10 October 2014, Pages 215-236
نویسندگان
Mark C. Bettle, Andrew G. Gerber, George D. Watt,