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首页> 外文期刊>Journal of aerospace engineering >Structural Response Estimation Based on Kalman Filtering with Known Frequency Component of External Excitation and Multitype Measurements for Beam-Type Structure
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Structural Response Estimation Based on Kalman Filtering with Known Frequency Component of External Excitation and Multitype Measurements for Beam-Type Structure

机译：基于Kalman滤波的结构响应估计，具有密钥型结构的外部激励和多重尺度测量的频率分量

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摘要

Structural health monitoring can be performed through long-term monitoring of key structural parts to obtain the structural response information of civil engineering structures in real service environments. This enables the provision of on-site measurement data for in-depth understanding of the structural performance and verifying design parameters. To address the issue of limited information from sensors, this paper proposes a structural response estimation method based on Kalman filtering and multitype measurements for beam-type structures. Starting from the structural motion equation, an internal structural model equation by extracting the modal external excitation frequency component and the structure's inherent characteristics are used for structural response estimation. The frequency component of external excitation should be known in the proposed method. Then, based on the multitype measurements, the system and observation noises are considered, and a structural response estimation equation based on Kalman filtering is formulated. Finally, particle swarm optimization is applied to optimize the Kalman error parameter values and achieve multilocation and multitype structural response estimation based on the multitype measurements. The effectiveness and feasibility of the proposed method are verified via experimental analysis of the Binzhou Yellow River Bridge mode, where only pedestrian loading is used.
机译：通过长期监测关键结构部件的长期监控，可以进行结构健康监测，以获得实际服务环境中土木工程结构的结构响应信息。这使得能够提供现场测量数据，以便深入了解结构性能和验证设计参数。为了解决传感器的有限信息问题，本文提出了一种基于Kalman滤波和光束型结构测量的结构响应估计方法。从结构运动方程开始，通过提取模态外部激励频率分量的内部结构模型方程，并且结构的固有特性用于结构响应估计。外部激励的频率分量应该以所提出的方法已知。然后，基于多重程测量，考虑系统和观察噪声，并制定基于卡尔曼滤波的结构响应估计方程。最后，应用粒子群优化以优化卡尔曼误差参数值，并基于多重测量实现多重分子和多重性结构响应估计。通过滨州黄河桥梁模式的实验分析验证了所提出的方法的有效性和可行性，只使用行人载荷。

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