Technological and Digital Innovation in Structural Health Monitoring of Civil Structures and Infrastructures
A special issue of Infrastructures (ISSN 2412-3811). This special issue belongs to the section "Infrastructures Inspection and Maintenance".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 518
Special Issue Editors
Interests: structural health monitoring; value of information; bridge management; risk assessment
Special Issues, Collections and Topics in MDPI journals
Interests: hysteresis modeling; structural dynamics; timber engineering; structural health monitoring; nonlinear dynamics; earthquake engineering
Special Issues, Collections and Topics in MDPI journals
Interests: damage detection; structural health monitoring; mechanical testing; structural dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural health monitoring (SHM) allows operators to acquire real-time data on the state of several key elements of the built environment, especially strategic infrastructures such as viaducts and tunnels, which deteriorate over time due to a complex range of degradation processes. Currently, the implementation of SHM systems is limited by several issues related to data management and interpretation, as well as the high costs of deployment and maintenance of dense sensor networks. The recent digital transition of the construction sector opens new avenues for the SHM-driven management of civil structures and infrastructure. This transition requires digital systems for permanent monitoring, with automatic and remote acquisition and management of data in analogy with the self-monitoring and self-healing biological systems. These digital systems will require the integrated use of technical innovations, both on the hardware side (instruments, optimal positioning of sensors, and indirect and remote acquisition techniques) and the software side (data analysis, treatment, and interpretation).
This Special Issue invites high-quality contributions addressing the current state of the art, recent developments, and future perspectives in the field of the SHM of civil structures and infrastructures in a digitalizing world. The topics of interest include, but are not limited to:
- development of new methodologies for the signal processing of experimental data;
- development of new forms of data-driven surrogate models, based on the most recent advances in artificial intelligence, neural networks, and machine learning;
- online and real-time management of continuously monitored physical quantities;
- compensation of environmental and operating variations (EOV) from the measured quantities;
- emerging technologies for monitoring civil structures and infrastructures, e.g., indirect and remote SHM;
- SHM-driven management of civil structures and infrastructures, including value of information analysis.
Interesting applications or validations will be considered, especially those considering interdisciplinary approaches, and/or tested on real and highly relevant case studies, for any sort of structural typology, construction material (e.g., masonry, reinforced concrete, and steel) or state of deterioration. The use of experimental data, both from laboratory tests and/or in situ surveys or embedded systems, is highly encouraged.
Dr. Pier Francesco Giordano
Dr. Angelo Aloisio
Dr. Marco Civera
Guest Editors
Manuscript Submission Information
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Keywords
- structural heath monitoring
- damage identification
- informed structural management
- innovative SHM techniques
- data-driven SHM
- environmental and operational effects
- value of information
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