摘要
采用有限元法(FEM)进行水下壳结构振动响应分析,边界元法(BEM)进行结构振动声学分析;组合有限元法与边界元法构成耦合FEM-BEM方法进行水下薄壳结构声振强耦合分析。为了克服传统拉格朗日函数近似几何模型与物理场插值计算时的不连续与低精度问题,采用Loop细分曲面等几何法构建几何模型,并采用相同的样条函数进行物理场高阶插值计算,实现水下声振强耦合系统的CAD/CAE的集成分析。随机性分析致力于研究系统输入的不确定造成的输出不确定。蒙特卡罗模拟(MCs)因简单直接被认为是解决复杂多维不确定性问题的通用工具,然而巨大的计算成本降低了其适用性。采用本征正交分解(POD)和径向基函数(RBF)可降低计算成本,提高计算效率,实现基于MCs的快速随机性分析。考虑结构材料属性参数以及结构形状参数的不确定性对计算结果的影响,采用MCs分析随机变量下的结构声学响应的统计特征。最后通过若干算例验证该算法的正确性与有效性。
The finite element method(FEM)was used to analyze the vibration response of underwater shell structures,and the boundary element method(BEM)was used to analyze structural vibration acoustically.By combining FEM and BEM,the coupled FEM-BEM method was used for the acoustic-vibration strong coupling analysis of underwater thin shell structures.In order to overcome the problems of discontinuity and low precision in the traditional Lagrangian approximate geometric model and physical field interpolation calculation,the Loop subdivision surface isogeometric method was used to construct the geometric model,and the same spline function was used to perform the high-order interpolation calculation of the physical field,so as to realize the integrated CAD/CAE analysis of the underwater acoustic-vibration strong coupling system.Stochastic analysis was devoted to studying the output uncertainty caused by the input uncertainty of the system.Monte Carlo simulation is considered to be a universal tool for solving complex and multi-dimensional uncertain problems because of its simplicity and directness.However,the huge computational cost reduces its applicability.Using proper orthogonal decomposition(POD)and radial basis function(RBF)can reduce computational cost,improve computational efficiency,and realize fast stochastic analysis based on Monte Carlo simulation.Considering the influence of the uncertainty of the structural material property parameters and the structural shape parameters on the calculation results,Monte Carlo simulation was used to analyze the statistical characteristics of the structural acoustic response under random variables.Finally,several practical problems were used to verify the correctness and effectiveness of this algorithm.
作者
胡昊文
王中王
徐延明
陈磊磊
HU Haowen;WANG Zhongwang;XU Yanming;CHEN Leilei(College of Architecture and Civil Engineering,Xinyang Normal University,Xinyang 464000,China;School of Architectural and Civil Engineering,Huanghuai University,Zhumadian 463000,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2022年第12期159-167,共9页
Journal of Vibration and Shock
基金
国家自然科学基金(11702238)。