Experimental Investigation of the Signal Quality of One-way Scanning Laser Doppler Vibrometer on Different Materials

Conference Paper (2025)
Author(s)

Shashanka Katta (TU Delft - Civil Engineering & Geosciences)

Yuanchen Zeng (TU Delft - Civil Engineering & Geosciences)

Zili Li (TU Delft - Civil Engineering & Geosciences)

Research Group
Railway Engineering
DOI related publication
https://doi.org/10.1007/978-3-031-96110-6_8 Final published version
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Railway Engineering
Pages (from-to)
105-115
Publisher
Springer Science and Business Media Deutschland GmbH
ISBN (print)
['9783031961090', '978-3-031-96112-0']
ISBN (electronic)
978-3-031-96110-6
Event
11th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025 (2025-07-02 - 2025-07-04), Porto, Portugal
Downloads counter
8
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Vibrations of engineering structures can give insights into their dynamic properties and aid in assessing their health conditions and identifying damage. One-way scanning laser Doppler vibrometer (LDV) aims to scan structures along a certain path without stopping. The signal quality of one-way scanning LDV is affected by the surface characteristics of target structures. Different materials of engineering structures, such as steel, clay, and asphalt, exhibit different textures, roughness, and particle sizes. These differences can cause variations in backscattering and speckle patterns along the scanning path, affecting signal quality. This paper investigates how different materials and scanning speeds affect the signal quality of one-way scanning LDV through experiments. A rotating mirror directs the laser beam of an LDV to scan a vibrating beam with target surfaces made from clayey soil, sandy soil, steel, asphalt and wood at two different speeds: 0.6 ms-1 and 3 ms-1. Subsequently, a two-step despeckling algorithm involving moving root mean square-based thresholding and an Empirical Mode Decomposition-based filter is applied to separate out the noise from the signal. The results indicate that noise power is much higher and signal-to-noise ratio (SNR) is significantly lower for clayey soil, sandy soil, and asphalt compared to wood and steel.

Files

978-3-031-96110-6_8.pdf
(pdf | 3.72 Mb)
- Embargo expired in 01-04-2026
Taverne