Applications of Structural Health Monitoring in Building Engineering

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: 28 February 2027 | Viewed by 23

Editors

School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: structural health monitoring
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Guest Editor
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Interests: structural analysis theory; structural optimization of cable-supported bridges
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Interests: structural health monitoring; intelligent piezoelectric sensing; monitoring signal processing; non-contact structural surface damage identification

Special Issue Information

Dear Colleagues,

Civil, mechanical and aeronautical engineering structures or components are often subjected to operational loadings, environmental impacts or earthquake excitations during their service life, which inevitably induce defaults and damage and consequently affect their operational performance. Structural health monitoring and intelligent operation maintenance have increasingly become an essential part of engineering structures. Their aim is to increase the safety and reliability of structures through measurements of the operating and loading environment and improving the critical responses of a structure for the tracking and evaluation of incidents, anomalies or damage, combined with extending the service life through in-time repair and strengthening for performance improvement. This Special Issue aims to present recent advances in the structural health monitoring and intelligent operation maintenance of concrete/steel structures, particularly the monitoring/maintenance techniques enhanced by machine learning, computational intelligence or data mining. This Special Issue will cover topics of interest that include, but are not limited to, the following:

  • Digital twin-driven intelligent monitoring and lifecycle management of concrete/steel structures
  • Physics-informed machine learning for structural damage diagnosis and performance prediction
  • Operational maintenance of concrete/steel structures;
  • Repair and strengthening of concrete/steel structures;
  • Concrete/steel structural deformation identification;
  • Concrete/steel structural health monitoring;
  • Concrete/steel structural damage detection;
  • Concrete/steel structural safety evaluation.

Dr. Demi Ai
Prof. Dr. Hongyou Cao
Prof. Dr. Hedong Li
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings 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 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

  • concrete structures
  • steel structures
  • damage detection
  • structural health monitoring
  • intelligent operation maintenance
  • repair and strengthening
  • machine learning
  • data mining
  • digital twin-driven

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Published Papers

This special issue is now open for submission.
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