SPECIAL SESSION #17

Advancements in Technology and Digital Innovation for Structural Health Monitoring of Civil Engineering Structures and Infrastructures

ORGANIZED BY

Marano Giuseppe Carlo Marano

Giuseppe Carlo Marano

Politecnico di Torino, Italy

Rosso Marco Martino Rosso

Marco Martino Rosso

Politecnico di Torino, Italy

Aloisio Angelo Aloisio

Angelo Aloisio

University of L'Aquila, Italy

Pasca Dag Pasquale Pasca

Dag Pasquale Pasca

Norwegian Institute of Wood Technology, Norway

Laura Sardone Laura Sardone

Laura Sardone

Politecnico di Torino, Italy

Beibei Beibei Xiong

Beibei Xiong

Nanjing Tech University, China

ABSTRACT

Structural Health Monitoring (SHM) theoretically offers means to ensure the safety of critical infrastructures like bridges, viaducts, and tunnels. These structures are vulnerable to various degradation processes over time, making robust and real-time monitoring systems essential. However, SHM methods encounter challenges in data management, interpretation, and the financial implications of extensive sensor network deployment. Moreover, structural monitoring fits into a broader trend of addressing problems through data collection, trusting that the gathered data will reveal information specifically correlated to structural degradation. Nevertheless, especially in dynamic monitoring, the commonly estimated metrics are often insensitive to structural decay. Consequently, monitoring systems in the path of structural health monitoring struggle to progress beyond the anomaly detection stage, far from reaching the so-called prognostic phase. Indeed, the SHM field represents not just an arena for technological development applications but also demands dedicated studies to cover all SHM stages up to prognosis, focusing on measurable quantities sensitive to structural degradation. This represents the primary challenge today. The monitored quantities, particularly dynamic ones like modal parameters, are almost insensitive to structural decay, whose impact is usually within the measurement error margin.

This Special Session aims to promote the latest research contributions in this research field. Original papers are invited to be submitted pointing out studies on the development of sensors, measurement procedures, and case studies on SHM.

TOPICS

Topics of interest include, but are not limited to:

  • Advancement of novel methodologies for processing signals from experimental data.
  • Creation of innovative data-driven surrogate models, leveraging the latest developments in artificial intelligence, neural networks, and machine learning.
  • Online and real-time handling of continuously monitored physical variables.
  • Adjusting for environmental and operational variations in measured data.
  • Cutting-edge technologies for the monitoring of civil structures and infrastructures, such as indirect and remote SHM techniques.
  • Management of civil structures.

ABOUT THE ORGANIZERS

Giuseppe Carlo Marano, PhD in Structural Engineering at the University of Florence (2000). Post-doctoral scholarship in “Civil Engineering Science” at Technical University of Bari in 2001 and Lecturer in structural engineering in the same university in 2001. Visiting assistant professor in Cambridge (2002), associate professor in 2011 at Politecnico di Bari and visiting Professor in Loughborough (2012) and at Hunan University, Changsha, Hunan Province (China) (2014), is research fellow at the SIBERC (Sustainable and Innovative Bridge Engineering Research Center), Fuzhou University, Fuzhou, Fujian Province, China and (2016/2018) full Professor in Structural Design, Faculty of Civil Engineering, Fuzhou University, Fuzhou, Fujian Province, China. From 2018 is full professor in structural Design at Politecnico di Torino, where he also covered vice director of the Department of Structural, Environmental and Geotechnical Engineering until 2023. His research interests deal with structural optimization, form finding and structural health monitoring. He is author of four European patents and more than 300 papers published in international journals or presented at conferences.

Marco Martino Rosso, M.Sc. Degree cum laude in Structural Civil Engineering in 2020 from Technical University of Turin, Politecnico di Torino, TO, Italy, and soon in 2024 he will graduate with the Structural Engineering Ph.D. school in the Civil and Environmental Engineering program at Politecnico di Torino University, TO, Italy. His research fields cover structural dynamics and structural health monitoring methods, machine learning and deep learning, but also meta-heuristic algorithms for constrained optimization problems in structural optimization area.

Angelo Aloisio, PhD in Civil Engineering from University of L’Aquila, is Postdoc researcher at the University of L’Aquila. His research is focused on the Structural Health Monitoring, Timber Engineering and Seismic Engineering. Research activities are conducted within European and National projects. He is the author of more than 150 peer-reviewed scientific publications for international journals and conference proceedings.

Dag Pasquale Pasca PhD in Civil Engineering from the Norwegian University of Life Sciences, is researcher at the Norwegian Institute of Wood Technology. His research is focused on the Structural Health Monitoring and Timber Engineering. Research activities are conducted within European and National projects. He is the leading developer of the open-Source software for dynamic monitoring pyOMA. He is the author of more than 50 peer-reviewed scientific publications for international journals and conference proceedings.

Laura Sardone, Architect and PhD in Design for Heritage from Politecnico of Bari in collaboration with the school of civil engineering of National technical university of Athens, is a research fellow at the Politecnico di Torino. Her research is focusing on Structural Design based on Earthquake activities and Seismic Engineering. Research activities are conducted within European and National projects. She is the author of more than 20 peer-reviewed scientific publications for international journals and conference proceedings.

Beibei Xiong, PhD in Structural Civil Engineering in 2023 from the Politecnico di Torino university, Turin, Italy, she currently covers a position of assistant professor at Nanjing Tech University, Nanjing, China. Her research is mainly focused on the concrete engineering, especially design and properties of cementitious materials substituted by recycled waste aggregates, with regards to the topical environmental sustainability issue.

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