Structural Health Monitoring for Sustainable Structures and Infrastructures

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (30 January 2024)

Special Issue Editors


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Guest Editor
Politecnico di Milano – Department of Mechanical Engineering, Via La Masa, 34 – 20156 Milan (Italy)
Interests: Structural Health Monitoring; Vibration Analysis; Structural Dynamics; Modal Analysis; Structural Analysis

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Guest Editor
Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, 10129 Turin, Italy
Interests: Non-linear finite element analysis; structural health monitoring; young hardening concrete; massive casting; composite steel-concrete structures
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Special Issue Information

Most of the key structures within highway and railway systems in Europe and North America were built after the Second World War during the economic boom. This heritage of existing infrastructures and buildings is currently subject to natural and gradual aging processes and progressive deterioration.

On the other hand, new design and construction standards require performance to be more advanced, particularly within the seismic field, and tend to render old structures as obsolete.

One of the most commonly used ways to control aging and deterioration involves the implementation and installation of diagnostic systems to estimate construction safety levels and operating conditions.

Adequately scheduled maintenance can then be applied to ensure that safety levels and structural performance are in accordance with standards requirements.

Structural health monitoring is currently a highly active research field in civil engineering, as many techniques used in other engineering fields are being transferred to large-scale infrastructural systems.   

The Special Issue, “Structural Health Monitoring (SHM) for Sustainable Structures and Infrastructures”, is pleased to welcome novel contributions on topics including, but not limited to, the following:

  • Structural system identification;
  • Structural model updating;
  • Structural condition assessment;
  • Prediction of remaining service life;
  • Proactive maintenance using SHM;
  • The effect of SHM on life cycle assessment;
  • The interface between digital twins and SHM systems;
  • Transer learning in SHM;
  • Machine learning techniques for SHM;
  • Bayesian approaches for SHM;
  • Edge computing for SHM;
  • New sensors and their application to structures and infrastructures.

Dr. Francescantonio Lucà
Prof. Dr. Gabriele Bertagnoli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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

  • structural health monitoring
  • structures
  • infrastructures
  • maintenance
  • sustainability
  • sensors
  • life cycle assessment
  • machine learning
  • identification
  • model updating
  • service life

Published Papers

There is no accepted submissions to this special issue at this moment.
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