LiDAR for vibration monitoring of infrastructure: stretching limits by spatio-temporal time domain frequency analysis

Structural health monitoring (SHM) is crucial for ensuring the integrity and safety of infrastructure. Traditional vibration analysis techniques rely on sensors such as Inertial Measurement Units (IMU) and Global Navigation Satellite Systems (GNSS), total stations (TS) and fibre-optics (FO), which require a physical attachment to structures in the observation process. However, Light Detection and Ranging (LiDAR) offers a contactless alternative, enabling high-resolution, time-synchronized observations that capture spatially continuous deformation information. This paper presents an innovative framework for SHM that leverages LiDAR-based time-domain frequency analysis to monitor dynamic structural behavior effectively. By integrating spatio-temporal modeling techniques, we establish a robust methodology for detecting oscillations and deformations in infrastructure. Our approach enhances current SHM practices by providing a scalable solution that does not require physical sensor deployment. Thus, this methodology provides information in much higher spatial resolution compared to the aforementioned approaches. The proposed methodology is evaluated by controlled experiments, demonstrating its applicability to real-world SHM scenarios and its potential for continuous, non-invasive structural assessment.     «

Structural health monitoring (SHM) is crucial for ensuring the integrity and safety of infrastructure. Traditional vibration analysis techniques rely on sensors such as Inertial Measurement Units (IMU) and Global Navigation Satellite Systems (GNSS), total stations (TS) and fibre-optics (FO), which require a physical attachment to structures in the observation process. However, Light Detection and Ranging (LiDAR) offers a contactless alternative, enabling high-resolution, time-synchronized observ...     »