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下放式海洋微结构湍流剖面仪运动学与动力学分析
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  • 英文篇名:Kinetic and Dynamic Analysis of Free-Fall Microstructure Turbulence Profiler
  • 作者:宋大雷 ; 王浩杰 ; 周丽芹 ; 臧胜波
  • 英文作者:SONG Da-Lei;WANG Hao-Jie;ZHOU Li-Qin;ZANG Sheng-Bo;College of Engineering, Ocean University of China;
  • 关键词:运动模型 ; 下潜速度 ; 稳定姿态 ; 自由摆动 ; 数据分析
  • 英文关键词:motion model;;sinking velocity;;steady attitude;;free oscillation;;data analysis
  • 中文刊名:中国海洋大学学报(自然科学版)
  • 英文刊名:Periodical of Ocean University of China
  • 机构:中国海洋大学工程学院;
  • 出版日期:2019-10-14
  • 出版单位:中国海洋大学学报(自然科学版)
  • 年:2019
  • 期:11
  • 基金:国家高技术研究发展计划项目(2012AA090901)资助~~
  • 语种:中文;
  • 页:148-155
  • 页数:8
  • CN:37-1414/P
  • ISSN:1672-5174
  • 分类号:P75
摘要
下潜速度、姿态以及振动这几个因素严重影响着湍流剖面仪测量结果的有效性和准确度。分析几个因素及相关参数,对设计和优化剖面仪具有指导意义。本文采用双坐标系,建立湍流仪下潜过程的运动模型,并建立动力学微分方程组。基于动力学模型,分析影响湍流仪下潜速度的因素,提出速度配置方法。分析了湍流剖面仪重浮心距离及下潜相对速度对稳定姿态和攻角的影响,确定结构无阻尼自由摆动的固有频率,并通过数值计算,定性分析有阻尼情况下摆动的衰减特性。通过分析相关试验数据,验证理论计算结果的有效性和准确性,为后期优化提供理论依据。
        Multiple factors like sinking velocity, attitude and vibration have a strong impact on the availability and accuracy of the results measured by turbulence profilers. So analysis on such factors brings an instructional significance for designing and optimizingturbulence profilers. Indispensable motion model of profiler is built based on a bi-coordinate system for dynamic analysis. A dynamic model is built consequently, and a set of differential equations is established. Based on the model, thefactors influencing the sinking velocity are analyzed, and put forward the method for velocity configuration.The distance from barycenter to buoyant center and relative velocity of the profiler to flow field are analyzed, to estimate their effects to steady attitude and angle of attack.The natural frequency of the structure is determined under the assumption of undamped free oscillation, and the attenuation characteristics of the damped oscillation of the structure are analyzed qualitatively by means of numerical calculation. In the end, the validity and accuracy of the theoretical results are verified by analyzing the experimental data, to provide theoretical basis for optimization.
引文
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