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有偏心桥梁断面气动导数识别的分段扩阶最小二乘迭代法 被引量:4

SUBSECTION EXTENDED ORDER ITERATIVE LEAST SQUARE METHOD FOR AERODYNAMIC DERIVATIVE IDENTIFICATIONS OF ECCENTRIC BRIDGE SECTION MODELS
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摘要 应用拉格朗日方程,建立了风洞中弹性悬挂的二自由度桥梁节段模型质心的竖向和扭转运动方程,所建立的数学模型考虑了无风时竖向阻尼力中心和弹性中心与质心的偏心。提出了利用节段模型风洞试验的自由振动信号直接识别系统矩阵的分段扩阶最小二乘迭代算法(SEO-ILS法)。给出了无风时偏心节段模型物理参数及模态参数的识别方法,并用于无偏心平板模型和有偏心桥梁节段模型的气动导数识别。风洞试验表明,方法有效可行。 The vertical and rotational motion equations of a bridge deck section model elastically suspended in wind ttmnel about its mass center are formulated using Lagrangian equation. This mathematics model considers the elasticity eccentricity and the damping eccentricity. Subsection Extended Order Iterative Least Square (SEO-ILS) algorithm is developed for direct identification of system matrix from free vibration data of the bridge deck sectional model in wind tunnel test. The method for identifying mechanical modal parameter and physical parameter of the section model in zero wind case is presented considering the eccentricities. A thin plate and a bridge deck section model were tested in wind tunnel and the eight aerodynamic derivatives were estimated by the presented method. The results indicate the reliability and effectiveness of the proposed method.
出处 《工程力学》 EI CSCD 北大核心 2007年第4期104-112,共9页 Engineering Mechanics
基金 国家自然科学基金资助项目(50478051)
关键词 风洞试验 气动导数 参数识别 偏心节段模型 分段扩阶迭代最小二乘迭代算法 wind tunnel tests aerodynamic derivatives parameters identification eccentric sectional model subsection extended order iterative least square (SEO-ILS) algorithm
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参考文献14

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二级参考文献5

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