首页> 外文期刊>Journal of Fluids and Structures >Virtual testing for modal and damping ratio identification of submerged structures using the PolyMAX algorithm with two-way fluid-structure Interactions
【24h】

Virtual testing for modal and damping ratio identification of submerged structures using the PolyMAX algorithm with two-way fluid-structure Interactions

机译:使用双向流体-结构相互作用的PolyMAX算法对淹没结构的模态和阻尼比识别进行虚拟测试

获取原文
获取原文并翻译 | 示例
           

摘要

Based on the powerful Computational Structural Dynamics method coupled to a Computational Fluid Dynamics approach, the PolyMAX algorithm is used along with the simulation of two-way fluid-structure interactions, as a new virtual testing method for estimating the structural modal parameters and damping ratios of a vibrating structure in either air or some other fluid. The viscosity and motion of fluid are accounted for, as are the shape of the flow passage and a variety of boundary conditions. The method is shown to be able to simulate the vibration of a structure within a real operating environment in which the structure experiences a specified excitation load while the vibration responses of the structure are obtained through a two-way FSI model. Based on the PolyMAX method for estimating the modal parameters, these vibration responses are processed and analyzed. Finally, the dynamic parameters (i.e., the natural frequencies and the damping ratios) of the vibrating structure are identified. For validation, the natural frequencies and damping ratios of two simple submerged cantilever plates were simulated both in air and water and the simulated results were found to agree closely with experimental data. (C) 2015 Elsevier Ltd. All rights reserved.
机译:基于功能强大的计算结构动力学方法和计算流体动力学方法,PolyMAX算法与双向流体-结构相互作用仿真一起使用,作为估算结构模态参数和阻尼比的一种新的虚拟测试方法。空气或其他流体中的振动结构。考虑了流体的粘度和运动,以及流动通道的形状和各种边界条件。该方法显示出能够在实际操作环境中模拟结构的振动,在该实际操作环境中,结构承受指定的激励负载,同时通过双向FSI模型获得结构的振动响应。基于用于估计模态参数的PolyMAX方法,对这些振动响应进行处理和分析。最后,确定振动结构的动态参数(即,固有频率和阻尼比)。为了验证,在空气和水中模拟了两个简单的浸入式悬臂板的固有频率和阻尼比,并且模拟结果与实验数据非常吻合。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号