ارزیابی کارایی ویژگی های دینامیکی سرعت مطلق تجمعی و شدت آریاس در تشخیص آسیب سازه ای تحت اثر باد: مطالعه موردی بر روی دکل فولادی

One of the most important issues in structural health monitoring is the timely detection and prevention of potential accidents. This article examines the efficiency of two dynamic features, Arias Intensity, and Cumulative Absolute Velocity, in detecting and localizing structural damage under the influence of environmental factors. A case study was conducted on a steel tower exposed to temperature variations and wind speed. For vibration data analysis, preprocessing and normalization were initially carried out using MATLAB software, and wind-induced variations were eliminated through normalization. Arias Intensity and Cumulative Absolute Velocity, as features sensitive to structural dynamic changes, demonstrated high accuracy in damage detection and could localize damaged areas. Overall, this study showed that combining dynamic features such as Arias Intensity and Cumulative Absolute Velocity with data normalization can provide an effective and efficient method for detecting and localizing damage in structures under the influence of environmental conditions, playing a significant role in structural health monitoring in real and variable conditions.