Vibration-based Structural Health Monitoring from single-pass SAR images

Alessandro Lotti; Aleksanteri Vattulainen; Sebastian Diaz Riofrio; Chiara Suppi; Daniel Tonelli; Finlay Rollo; Christos Ilioudis; Pietro Milillo; Enrico Tubaldi; Carmine Clemente; Daniele Zonta

Vibration-based Structural Health Monitoring from single-pass SAR images

Alessandro Lotti, Aleksanteri Vattulainen, Sebastian Diaz Riofrio, Chiara Suppi, Daniel Tonelli, Finlay Rollo, Christos Ilioudis, Pietro Milillo, Enrico Tubaldi, Carmine Clemente, Daniele Zonta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

This paper presents a micro-motion (m-m) technique for extracting the time histories of velocity from single pass Synthetic Aperture Radar (SAR) images, enabling remote vibration-based Structural Health Monitoring (SHM). The technique uses the m-m principle to capture the motion of vibrating reflective targets. The methodology is applied to SAR data of a suspension bridge, and the extracted velocities are compared to synchronous in-situ measurements from an installed monitoring system. Experimental validation demonstrates that single-pass SAR can measure vibration-related information of bridges down to velocities of 0.001 m/s.

Original language	English
Title of host publication	Experimental Vibration Analysis for Civil Engineering Structures
Subtitle of host publication	EVACES 2025
Place of Publication	Cham
Publisher	Springer
Publication status	Accepted/In press - 5 Mar 2025
Event	11th International Conference on Experimental Vibration Analysis of Civil Engineering Structures: EVACES 2025 - Porto, Portugal Duration: 2 Jul 2025 → 4 Jul 2025 https://www.fe.up.pt/evaces2025/

Publication series

Name	Lecture Notes in Civil Engineering
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	11th International Conference on Experimental Vibration Analysis of Civil Engineering Structures
Country/Territory	Portugal
City	Porto
Period	2/07/25 → 4/07/25
Internet address	https://www.fe.up.pt/evaces2025/

Funding

The study presented was funded by: the European Space Agency under the projects “Bridge Monitoring Based on Single Pass SAR Images” and “EO4Security- Innovative SAR Processing Methodologies For Security Applications-Topic B2: Micro-Doppler Processing”, the ReLUIS Interuniversity Consortium under the agreement DPC-ReLUIS 2020-2022 and DPC-ReLUIS 2024-2026 WP 6 “Monitoring and satellite data”, and the European Union- Next Generation EU, Mission 4 Component 2 - CUP E53D23003560006.

Keywords

synthetic aperture radar
micro-motion
structural health monitoring
modal analysis

Embargoed Document

Lotti-etal-EVACES-2025-Vibration-based-Structural-Health-Monitoring
Accepted author manuscript, 608 KB
Embargo ends: 1/01/99

Cite this

Lotti, A., Vattulainen, A., Diaz Riofrio, S., Suppi, C., Tonelli, D., Rollo, F., Ilioudis, C., Milillo, P., Tubaldi, E., Clemente, C., & Zonta, D. (Accepted/In press). Vibration-based Structural Health Monitoring from single-pass SAR images. In Experimental Vibration Analysis for Civil Engineering Structures: EVACES 2025 (Lecture Notes in Civil Engineering). Springer.

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title = "Vibration-based Structural Health Monitoring from single-pass SAR images",

abstract = "This paper presents a micro-motion (m-m) technique for extracting the time histories of velocity from single pass Synthetic Aperture Radar (SAR) images, enabling remote vibration-based Structural Health Monitoring (SHM). The technique uses the m-m principle to capture the motion of vibrating reflective targets. The methodology is applied to SAR data of a suspension bridge, and the extracted velocities are compared to synchronous in-situ measurements from an installed monitoring system. Experimental validation demonstrates that single-pass SAR can measure vibration-related information of bridges down to velocities of 0.001 m/s.",

keywords = "synthetic aperture radar, micro-motion, structural health monitoring, modal analysis",

author = "Alessandro Lotti and Aleksanteri Vattulainen and {Diaz Riofrio}, Sebastian and Chiara Suppi and Daniel Tonelli and Finlay Rollo and Christos Ilioudis and Pietro Milillo and Enrico Tubaldi and Carmine Clemente and Daniele Zonta",

year = "2025",

month = mar,

day = "5",

language = "English",

series = "Lecture Notes in Civil Engineering",

publisher = "Springer",

booktitle = "Experimental Vibration Analysis for Civil Engineering Structures",

note = "11th International Conference on Experimental Vibration Analysis of Civil Engineering Structures : EVACES 2025 ; Conference date: 02-07-2025 Through 04-07-2025",

url = "https://www.fe.up.pt/evaces2025/",

}

Lotti, A, Vattulainen, A , Diaz Riofrio, S, Suppi, C, Tonelli, D, Rollo, F, Ilioudis, C, Milillo, P, Tubaldi, E , Clemente, C & Zonta, D 2025, Vibration-based Structural Health Monitoring from single-pass SAR images. in Experimental Vibration Analysis for Civil Engineering Structures: EVACES 2025. Lecture Notes in Civil Engineering, Springer, Cham, 11th International Conference on Experimental Vibration Analysis of Civil Engineering Structures, Porto, Portugal, 2/07/25.

Vibration-based Structural Health Monitoring from single-pass SAR images. / Lotti, Alessandro; Vattulainen, Aleksanteri ; Diaz Riofrio, Sebastian et al.
Experimental Vibration Analysis for Civil Engineering Structures: EVACES 2025. Cham: Springer, 2025. (Lecture Notes in Civil Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Vibration-based Structural Health Monitoring from single-pass SAR images

AU - Lotti, Alessandro

AU - Vattulainen, Aleksanteri

AU - Diaz Riofrio, Sebastian

AU - Suppi, Chiara

AU - Tonelli, Daniel

AU - Rollo, Finlay

AU - Ilioudis, Christos

AU - Milillo, Pietro

AU - Tubaldi, Enrico

AU - Clemente, Carmine

AU - Zonta, Daniele

PY - 2025/3/5

Y1 - 2025/3/5

N2 - This paper presents a micro-motion (m-m) technique for extracting the time histories of velocity from single pass Synthetic Aperture Radar (SAR) images, enabling remote vibration-based Structural Health Monitoring (SHM). The technique uses the m-m principle to capture the motion of vibrating reflective targets. The methodology is applied to SAR data of a suspension bridge, and the extracted velocities are compared to synchronous in-situ measurements from an installed monitoring system. Experimental validation demonstrates that single-pass SAR can measure vibration-related information of bridges down to velocities of 0.001 m/s.

AB - This paper presents a micro-motion (m-m) technique for extracting the time histories of velocity from single pass Synthetic Aperture Radar (SAR) images, enabling remote vibration-based Structural Health Monitoring (SHM). The technique uses the m-m principle to capture the motion of vibrating reflective targets. The methodology is applied to SAR data of a suspension bridge, and the extracted velocities are compared to synchronous in-situ measurements from an installed monitoring system. Experimental validation demonstrates that single-pass SAR can measure vibration-related information of bridges down to velocities of 0.001 m/s.

KW - synthetic aperture radar

KW - micro-motion

KW - structural health monitoring

KW - modal analysis

M3 - Conference contribution book

T3 - Lecture Notes in Civil Engineering

BT - Experimental Vibration Analysis for Civil Engineering Structures

PB - Springer

CY - Cham

T2 - 11th International Conference on Experimental Vibration Analysis of Civil Engineering Structures

Y2 - 2 July 2025 through 4 July 2025

ER -

Vibration-based Structural Health Monitoring from single-pass SAR images

Abstract

Publication series

Conference

Funding

Keywords

Embargoed Document

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