Best Paper Award
We are proud to announce the Best Paper Award recognizing authors of outstanding technical contribution to CSHM-8. The Award will acknowledge groundbreaking research in the field of civil SHM for its importance and contribution to the area, to highlight theoretical and practical innovations that are likely to shape the future of SHM in civil engineering both in Europe and worldwide.
The Best Paper Award is sponsored by Infrastructures (ISSN 2412-3811). All papers accepted for oral presentation will be eligible for the Award. The winner will receive a 500 CHF honorarium. The award will be presented during the Award ceremony by an ISHMII Council member attending the conference, or by a party designated by the Council.
Keynote Speaker Announcement
On behalf of the Organizing Committee and the International Society for Structural Health Monitoring of Intelligent Infrastructure, we are pleased to announce our keynote speakers:
Prof. Alvaro Cunha
Full Professor at University of Porto
“Dynamic Testing and Continuous Monitoring of Transportation and Energy Infrastructures”
Prof. Andrea Del Grosso
Former Professor at University of Genoa, Technical Director at RINA Consulting S.p.A.,
“Structural Health Monitoring for the management of existing structures: the UNI 11634 Guidelines”
Prof. Hong-Hu Zhu
“Fiber optic monitoring and forecasting of reservoir landslides”
Special Session #1: Operational Modal Analysis and Structural Health Monitoring (OMA-based SHM)
Chairs: Prof. Manuel López Aenlle, Dr. Carlo Rainieri
This Special Session aims at answering some hot topics concerning the use of Operational Modal Analysis in the context of Structural Health Monitoring of civil engineering structures:
• Auto OMA – what are acceptable procedures in terms of accuracy and robustness?
• Actual stress and force – What are acceptable procedures in terms of accuracy and robustness?
• Operational models – How are modal parameter estimates influenced by operating conditions and non-linearities?
• Suitable sensor signals – what is enough sensors and acceptable signals quality, and how can we detect abnormalities in signals?
• Hazard monitoring – How do we know that something significant has happened to the structure?
• Applications – of all the above mentioned elements.
Special Session #2: Combined Structural Health Monitoring of existing structures and infrastructures using on-site and satellite acquisitions: the contribution of 2019-21 Reluis Project
Chairs: Prof. Felice Carlo PONZO – Prof. Marco SAVOIA – Dr. Rocco DITOMMASO
In the last decade, structures and transport infrastructures have experienced significant safety criticalities, which in few cases led to collapse with significant social and economic impacts. A rational response to the problem of detecting the occurrence of ageing in structures around the world is represented by the Structural Health Monitoring (SHM) techniques. Most of developed methods for rapid damage detection on civil structures and infrastructures is generally based on the evaluation of structural characteristics (such as, displacements, eigenfrequencies, damping factors, mode shapes, etc.) and their variation over time, by installing on site sensors. In recent years, thanks to the rapid evolution of interferometric SAR processing techniques, a large amount of “satellite measurements” are available for both geophysical phenomena and building monitoring in terms of displacement rate over time This special session aims to contribute to the discussion about the opportunity to merge information retrieved both by on-site and remote sensing measurements and to define a shared strategy to detect damage on existing structures and infrastructures in operational conditions. Topics cover preliminary results retrieved within the WP6 “Structural Health Monitoring and Satellite Data” 2019-21 Reluis Project, and regards strategies for merging information, advances in signal processing and algorithms for SHM, case studies related to structures, infrastructures, tunnels, dams and cultural heritage.
Special Session #3: New sensing technologies and strategies for civil SHM
Chairs: Prof. Filippo Ubertini, Dr. Carlo Rainieri
In recent years, the attention to safety and service performance of large civil structures (such as bridges, dams, wind turbines, and energy systems) has increased dramatically as a result of alarming degradations. For this reason, structural health monitoring (SHM) systems of various types and nature are under continuous development with the common objective to achieve a rapid and effective automated structural health and performance assessment. Particular attention in the research community is currently being devoted to new sensing systems for SHM applications in civil engineering.
Carbon nanofillers are offering new and astonishing possibilities for advanced research and development in the field. Owing to their piezoresistive behavior, structural nanocomposites, such as smart concretes, are showing very interesting properties because of their sensitivity to strain and damage. Smart nanocomposites are naturally distributed sensors, to be built with the structure without imposing any restriction or additional weight. Those properties are very attractive for SHM applications.
Novel SHM approaches based on image-processing, even in combination with robotic systems or drones (UAV), or Synthetic Aperture Radar (SAR), including satellite applications, are also becoming very attractive for SHM and non-destructive evaluation (NDE) of civil structures and infrastructures because of the opportunity to overcome some typical limitations of contact-type approaches.
Finally, new methods of installation and measurement strategies based on traditional sensors are being developed for civil SHM applications, with interesting results.
In this context, this special session represents a forum to discuss the recent results and applications of smart materials and new measurement systems for SHM of civil structures.
The topics include, but are not limited to, the following items:
• Self-sensing nanocomposites for civil SHM applications
• Smart sensors
• Novel measurement systems
• Novel measurement strategies
• Contact and non-contact measurements
• Image processing approaches for SHM
• Field applications