“Reconnecting engineering disciplines”

This implies the importance of reconnecting all the different engineering disciplines involved in SHM, such as civil engineering, electronic engineering, materials engineering, and so on, of reconnecting measured data with physics, of transferring lessons learned on a given structure to other similar structures or structures in the same area. These enlarge the classical domain of SHM towards the development of technologies, digital twins and innovative assessment procedures, remarking the primary role played by the discipline in enhancing the structural safety and resilience and in supporting structural management and maintenance activities. Based on the above, interdisciplinary contributions aimed at transferring technologies from the industrial to the civil engineering field are particularly welcome.

Contributions are invited in all areas of Structural Health Monitoring. They include, but are not limited to:

Advanced sensing approaches: remote sensing, novel smart sensors, sensors for extreme environments, MEMS/NEMS sensors, fiber optics, piezoelectric/magneto-electric sensors, nano/micro sensors, wireless sensors, IoT…

Data processing: data driven SHM methods, including machine learning and deep learning based approaches, physics-informed machine learning techniques for SHM, transfer learning and population-based SHM, automatic modal parameter estimation, advanced model updating techniques, data mining and data fusion, advanced signal processing and/or statistical data analysis, real-time diagnostics/prognostics, inverse methods, big data analysis and/or data reduction…

Physical principles monitoring: mechanical, acoustic, electrical, thermal…

Modelling and simulation

Energy: self-powered sensors, energy harvesting for sensor networks …

SHM system design, and cyber physical systems: digital twin development and applications, advanced modeling and simulation of damage and degradation phenomena, interoperability…

SHM-aided life-cycle performance assessment: lifetime prognosis, predictive maintenance, damage monitoring, repair and strengthening…

Smart cities and SHM for the Industry Internet of Things (IIOT): communication protocols, distributed sensing, social and economic impact of SHM

Robotic, VR/AR and mobile technologies: Autonomous systems, remote sensing and remote support, robotic and UAV platforms for SHM and maintenance intervention, VR/AR technologies for inspection, data collection by mobile phone, vehicle-bridge interaction, instrumented vehicles and V2X technologies for SHM…

Full-scale demonstrations and applications: laboratory as well as field applications of SHM technologies to bridges, buildings, wind turbines, dams, tunnels, space structures, heritage structures, cables, geotechnical structures, stadiums, maritime structures… seismic SHM

Sensor networks/system integration: biomimetic SHM systems, bio-inspired sensing, self-diagnostic networks, hardware-software integration

Advanced construction industry: Embedded sensor applications, additive manufacturing of self-sensing composites, management of construction and worksite supported by sensor data, multi-objective design optimization

SHM in action: industrial applications of SHM, where companies and exhibitors can showcase the potential of their technologies for real world applications

Validation/certification: probability of detection, reliability, uncertainty quantification, reliability methods, certification processes, design guidelines and codes for SHM, standardization of SHM systems…