Most building structures are gradually damaged under environmental conditions and external loads, and thus, damage is always inevitable. Hence, damage detection has been explored in many studies. Also, wavelet transform, as a powerful mathematical signal processing tool, has captured the attention of many researchers in the field of health monitoring. In this study, the health of a precast panel building is monitored based on experimental results using the continuous wavelet transform method and the possible damage to these structures is assessed. In the finite-element model, instead of simulating damage by applying force to a four-story building, an updated model using coding in matlab software, scripting with Python and optimization with optimization algorithm is used, and by analyzing the available data and experimental results in each stage, the damaged structural model is designed corresponding to the experimental model in which the damages are updated using the updating model in each stage to match the frequencies with the least error.

大多数建筑结构在环境条件和外部荷载作用下会逐渐损坏，因此损坏总是不可避免的。因此，许多研究已经探索了损伤检测。此外，小波变换作为一种强大的数学信号处理工具，引起了健康监测领域众多研究人员的关注。在这项研究中，使用连续小波变换方法根据实验结果监测预制板建筑的健康状况，并评估对这些结构可能造成的损坏。在有限元模型中，不是通过对四层建筑施加力来模拟损坏，而是使用在 matlab 软件中编码、使用 Python 编写脚本和使用优化算法进行优化的更新模型，并通过分析可用数据和实验结果在每个阶段，