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Structural Assessment, Vibration Mitigation and Monitoring of Civil Structures

This special issue belongs to the section “Physical Sensors“.

Special Issue Information

Dear Colleagues,

There is a need for resilience infrastructure and sustainable cities. Infrastructures cannot be resilient if poorly maintained. Therefore, it is deemed important to diagnose the condition of the infrastructure. This will help us to understand the level of functionality and improve it. In recent decades, different materials and devices have been developed to increase the performances of the structures. Several methods have been developed for structural health monitoring (SHM) and system identification in particular. Reliable data are essential in developing a life-cycle plan for current and future operations that incorporates sustainability and resiliency considerations. This Special Issue aims to collect papers on recent advancements in SHM and solutions for modifying structural integrity, as well as papers on the use of artificial intelligence (AI) for SHM of structures. Further, recent developments in optimization and robust analysis of vibration mitigation methods are of interest in this Special Issue. Topics include but are not limited to the use of sensors for SHM, vision-based SHM, validation of SHM techniques, case studies of SHM of infrastructures (buildings, bridges, tunnels, pipelines, etc.), vibration mitigation of structures, vulnerability analysis of structures, model-based structural service life prediction methods, etc.

Dr. Said Elias
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • SHM
  • VB-SHM vibration mitigation vulnerability analysis service life prediction

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Sensors - ISSN 1424-8220