基于比例边界有限元法的多孔挡板晃动水箱减晃研究
Sloshing reduction in a swaying tank with porous baffles using scaled boundary finite element method
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中文总结 AI 辅助
本研究采用比例边界有限元法模拟部分充液晃动水箱中多孔挡板的减晃效果,发现顶部安装凸形挡板在所有模态下实现均衡且高效的晃荡抑制,较底部垂直挡板提升50%。
中文摘要 AI 辅助
晃荡是远洋船舶中不可避免的现象,可能产生不利影响。本研究探讨了在部分充液的晃动水箱中,采用不同配置的多个薄型多孔挡板来缓解晃荡问题。在线性化势流理论框架下,利用比例边界有限元法(SBFEM)求解边值问题。假设通过薄型多孔挡板的流动遵循达西定律。由于多孔挡板的存在并确保星形凸性,计算域被划分为最少数量的子域。沿每个子域边界采用高阶多项式来表示未知场,即速度势。所开发的数值模型与文献中的已知结果进行了验证。随后,针对挡板配置、孔隙率、晃荡水箱宽度、挡板浸没深度以及相邻挡板间距等因素的影响,展示并讨论了多种结果,如放大因子和水箱壁受力。参数研究表明,考虑所有晃荡模态时,顶部安装的挡板相比底部安装的垂直挡板,晃荡抑制效果提升了50%。综合评估整体有效性,顶部安装的凸形挡板配置成为抑制晃荡最有效的配置,在所有模态下实现了均衡的减晃效果。
英文摘要
Sloshing is an inevitable phenomenon in an ocean-going vessel that can have adverse effects. In this work, the mitigation of sloshing is investigated using multiple thin porous baffles of various configurations in a partially filled swaying tank. The boundary value problem is solved within the framework of a linearized potential flow theory using the scaled boundary finite element method (SBFEM). The flow through the thin porous baffles is assumed to follow Darcy's law. The computational domain is divided into a minimum number of subdomains due to the presence of porous baffles and to ensure star convexity. Higher-order polynomials are used along each subdomain edge to represent the unknown field, i.e., velocity potential. The developed numerical model is validated with the known results in the literature. Subsequently, various results, such as the amplification factor and the forces of the tank wall, are presented and discussed for the effect of configuration, porosity, slosh tank width, depth of baffle submergence and the space between adjacent baffles. From the parametric study, it is observed that top-mounted baffles enhance sloshing suppression by $50\%$ compared to bottom-mounted vertical baffles, considering all sloshing modes. Assessing the overall effectiveness, top-mounted convex baffle configuration emerges as the most efficient configuration for sloshing suppression, achieving a well-balanced reduction across all modes.
发表机构
- Indian Institute of Technology Madras(印度马德拉斯理工学院)
- Federation University Australia(联邦澳大利亚大学)
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