Maria Antonietta Pace
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Maria Antonietta Pace has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Alessia Abbozzo
Politecnico di Milano
1 shared publication - Eray Temur
Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy
1 shared publication - Filip Cigan
Department of Geotechnics, University of Zilina, Univerzitná 8215, 010 26 Zilina, Slovakia
1 shared publication - Rolands Kromanis
University of Twente
1 shared publication - Tommaso Argentini
Politecnico di Milano
1 shared publication - Tommaso Panigati
Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy
1 shared publication
Latest Publications
- Open Access
- 1 June 2026
- Published by KEAI Publishing in Advances in Wind Engineering
- Vol. 3 (3)
Reconstruction and Simulation of Non-Synoptic Wind Fields for Nonlinear Aeroelastic Analysis of Long-Span Bridges
- 1 June 2026
- Published by KEAI Publishing in Advances in Wind Engineering
- Vol. 3 (3)
Open AccessReconstruction and Simulation of Non-Synoptic Wind Fields for Nonlinear Aeroelastic Analysis of Long-Span Bridges
- Open Access
- 8 February 2025
- Published by MDPI AG in Infrastructures
- Vol. 10 (2) , 37
Dynamic Identification of Bridges Using Multiple Synchronized Cameras and Computer Vision
This study investigates the application of computer vision techniques in Structural Health Monitoring (SHM). The advantages of multiple synchronized camera setups in capturing and analyzing the dynamic behavior of bridges are researched. The proposed methodology encompasses approach, setup, and data analysis techniques, with the final scope of extracting modal parameters from videos of a vibrating bridge. An operational pedestrian footbridge forced by human-induced vibrations serves as a case study. The findings demonstrate that computer vision techniques employing a multiple synchronized camera approach offer a precise, cost-effective, efficient, and safe alternative to conventional SHM approaches for the dynamic identification of bridges.
- 8 February 2025
- Published by MDPI AG in Infrastructures
- Vol. 10 (2) , 37
Open AccessDynamic Identification of Bridges Using Multiple Synchronized Cameras and Computer Vision
This study investigates the application of computer vision techniques in Structural Health Monitoring (SHM). The advantages of multiple synchronized camera setups in capturing and analyzing the dynamic behavior of bridges are researched. The proposed methodology encompasses approach, setup, and data analysis techniques, with the final scope of extracting modal parameters from videos of a vibrating bridge. An operational pedestrian footbridge forced by human-induced vibrations serves as a case study. The findings demonstrate that computer vision techniques employing a multiple synchronized camera approach offer a precise, cost-effective, efficient, and safe alternative to conventional SHM approaches for the dynamic identification of bridges.