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Multi-Domain 2.5D Method for Multiple Water Level Hydrodynamics

机译:用于多水位流体动力学的多域2.5D方法

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The mean water surface (interface) under the air cushion of a surface effect ship (SES) or an air cushion supported platform (ACSP) is generally lower than the outside water surface due to the overpressure of the air cushion. To precisely analyze the hydrodynamics under the air cushion, multiple water levels should be considered in numerical models. However, when using free surface Green’s functions as numerical methods, the water level difference cannot be taken into account, because free surface Green’s functions normally require users to set in the whole water domain a unique datum water surface that completely separates the air domain and the water domain. To overcome this difficulty, a multi-domain approach is incorporated into a 2.5D method that is based on a time domain free surface Green’s function with viscous dissipation effects in this paper. In the novel multi-domain 2.5D method, the water domain is partitioned into inner and outer domains, and the interface is located in the inner domain while the outside water surface is placed in the outer domain. In each domain there exists only one unique water level, while water levels in different domains are allowed to be different. Benefited from this characteristic, the multi-domain 2.5D method is able to precisely consider the water level difference and its influence on hydrodynamics. The newly proposed multi-domain 2.5D method is employed to predict the hydrodynamics of an SES, and it is confirmed that the multi-domain 2.5D method can give better numerical results than the single-domain one for the given case.
机译:由于气垫的超压,表面效果船(SES)的气垫或气垫支撑平台(ACSP)下方的平均水面(界面)通常低于外部水面。为了精确分析气垫下的流体动力学,数值模型中应考虑多个水位。但是,将自由表面格林函数用作数值方法时,不能考虑水位差异,因为自由表面格林函数通常要求用户在整个水域中设置一个唯一的基准水面,该基准水面将风域和水域完全分开。水域。为了克服这个困难,本文将多域方法合并到2.5D方法中,该方法基于时域自由表面Green函数的粘性消散效应。在新颖的多域2.5D方法中,将水域划分为内部域和外部域,并且界面位于内部域,而外部水表面位于外部域中。每个域中仅存在一个唯一的水位,而不同域中的水位则可以不同。得益于此特性,多域2.5D方法能够精确地考虑水位差及其对流体动力学的影响。采用新提出的多域2.5D方法来预测SES的流体动力学,并证实了在给定情况下,多域2.5D方法比单域方法具有更好的数值结果。

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