Yang Kang, Yang Zekun, Yang Hanbo, Zhou Junkai, Zhang Zhongzheng Ren, Wang Linyuan, Tian Zhihui, Kim Sungwon, Harley Joel B
Department of Electrical and Computer Engineering, University of Florida, Gainesville, 32068, USA.
Department of Mechanical Engineering, University of Utah, Salt Lake City, 84112, USA.
Sci Data. 2025 Jun 12;12(1):991. doi: 10.1038/s41597-025-05300-5.
Few studies address guided wave structural health monitoring under controlled and dynamic environments, largely due to the lack of a public benchmark dataset. To address this gap, this paper presents a public dataset from a long-term outdoor structural monitoring experiment conducted at the University of Utah, Salt Lake City. The monitoring, spanning over 4.5 years, collected approximately 6.4 million guided waves under both regular environmental variations (e.g., daily temperature changes ranging from 260.95 K (-12.2 °C) to 325.65 K (52.5 °C)) and irregular variations (e.g., rain and snow). The measured guided waves in the public dataset are also affected by sensor drift and installation shifts consistently over time. Additionally, thirteen types of damage were introduced to the monitored structure to support damage detection and severity evaluation under these conditions. The dataset includes measurement times, temperature, humidity, air pressure, brightness, and weather information to aid in damage detection. The provided public dataset aims to assist researchers in developing more practical methods for structural health monitoring in uncontrolled and dynamic environments.
很少有研究涉及在可控和动态环境下的导波结构健康监测，这主要是由于缺乏公开的基准数据集。为了填补这一空白，本文展示了一个来自盐湖城犹他大学进行的长期户外结构监测实验的公开数据集。该监测历时超过4.5年，在常规环境变化（例如，日温度变化范围从260.95 K（-12.2°C）到325.65 K（52.5°C））和不规则变化（例如下雨和下雪）的情况下收集了约640万个导波。随着时间的推移，公开数据集中测量的导波也持续受到传感器漂移和安装偏移的影响。此外，对监测结构引入了13种类型的损伤，以支持在这些条件下的损伤检测和严重程度评估。该数据集包括测量时间、温度、湿度、气压、亮度和天气信息，以辅助损伤检测。提供的公开数据集旨在帮助研究人员开发更实用的方法，用于在不受控和动态环境下的结构健康监测。
