Dataset for Modal testing with a pedestrian as a vibration exciter

A novel approach, for identification of modal properties using a dynamic excitation induced by a human walker, has previously been proposed to identify natural frequencies, damping ratios and modal masses. The developed approach is now expanded to also estimate vibration mode shapes, thus fully characterising the dynamic behaviour of a structure in a simple and affordable way. Additionally, the reliability of the method is parametrically analysed and validated against simulated and real world data of a footbridge. Results indicate that, given a reasonable initial estimate of the target modal properties values and with careful consideration of the number and location of measured responses, it is possible to estimate all modal properties of a structure in a reliable and simpler way than conventional modal testing methods: handheld impact hammer, electrodynamic shaker or ambient vibration tests. <br> This dataset contains the source code used to reproduce the results presented in the source article: files to run are parson.m and sim_parson.m, as well as walking forces, mode shapes and vibratory responses of the Parson footbridge. A simple runme.m file, illustrating identification using a single run at 1.4Hz is also added. For further questions please contact the corresponding author

此前已有学者提出一种基于行人动态激励的结构模态特性识别新方法，可用于识别固有频率、阻尼比与模态质量。本研究将该已开发方法进行拓展，使其可同时估算振动振型，从而以简便且经济的方式完整表征结构的动态行为。此外，本文还通过参数化分析，并结合人行天桥的仿真与实测数据对该方法的可靠性进行了验证。研究结果表明，在合理预设目标模态特性初始值，并合理规划测点数量与布置位置的前提下，相较于传统模态测试方法（手持式冲击锤、电动振动台或环境振动测试），该方法可更简便可靠地估算结构的全部模态特性。
本数据集包含用于复现原论文中所呈现结果的源代码：可运行文件包括parson.m与sim_parson.m，同时涵盖Parson人行天桥的步行激励力、振型以及振动响应数据。此外还新增了一份简易的runme.m示例文件，用于演示以1.4Hz单次运行的模态识别流程。如有进一步疑问，请联系通讯作者。