无人机
情态动词
同步
加速度计
模态分析
流离失所(心理学)
计算机科学
度量(数据仓库)
航程(航空)
工程类
人工智能
实时计算
数据挖掘
航空航天工程
结构工程
有限元法
传输(电信)
心理治疗师
高分子化学
化学
心理学
操作系统
遗传学
电信
生物
作者
Michele Bolognini,Giovanni Izzo,Daniele Marchisotti,Lorenzo Fagiano,Maria Pina Limongelli,Emanuele Zappa
标识
DOI:10.1016/j.autcon.2022.104550
摘要
Unmanned Aerial Vehicles are employed for vision-based modal analysis of civil infrastructure, as they overcome range limitations of fixed cameras and measure the oscillations of a structure up close. Nevertheless, their potential is not fully exploited: they are often piloted manually and one at a time, though one drone is unable to capture high resolution displacement of a whole structure. An approach is explored here, employing multiple drones simultaneously to estimate natural frequencies and modal shapes of a structure, by synchronizing their measurement. The ability of the method to detect modal parameter variations is assessed, such that it can identify anomalies in the structure. Procedures are applied to a test structure, yielding maximum natural frequency estimation errors of 0.2% with respect to accelerometers. The results suggest the accuracy of the approach is high enough to warrant further development and support autonomous, multi-drone applications to the inspection of the built environment.
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