Advanced Damage Detection and State Monitoring Technologies for Engineering Structures

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

Deadline for manuscript submissions: 10 November 2025 | Viewed by 54

Special Issue Editors


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Guest Editor
School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Interests: nondestructive evaluation; structural health monitoring; signal analysis; deep learning application
College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China
Interests: structural health monitoring; nondestructive testing; linear/nonlinear ultrasonics; composite structures; damage detection; intelligent detection; defect resonance; numerical modeling

E-Mail Website
Guest Editor
School of Civil and Environmental Engineering, Changsha University of Science and Technology, Changsha 410114, China
Interests: structural health monitoring; structural damage imaging; material performance evaluation; ultrasonic array detection; intelligent detection

Special Issue Information

Dear Colleagues,

With the rapidly evolving environment, engineering materials and structures face unprecedented challenges. Aging infrastructure, environmental hazards, and escalating demands for safety and durability underscore the pressing need for advanced monitoring and diagnostic methodologies. In this context, innovative nondestructive testing techniques integrated with intelligent algorithms have emerged as transformative tools, enhancing detection accuracy while facilitating proactive maintenance and timely decision-making.

This Special Issue seeks to present state-of-the-art research and recent advancements in nondestructive evaluation (NDE) and structural health monitoring (SHM) technologies and intelligent algorithms tailored to structural engineering applications. We invite high-quality original research articles and comprehensive review papers addressing, but not limited to, the following topics:

  • Damage characterization of engineering materials;
  • Intelligent monitoring and sensing;
  • Structural state evaluation based on signal analysis;
  • Applications of deep learning in NDE and SHM;
  • Big data methods.

Prof. Dr. Jun Chen
Dr. Lunan Wei
Dr. Chenglong Yang
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. 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

  • structural health monitoring
  • non-destructive evaluation
  • deep learning algorithm
  • damage detection
  • big data method
  • signal processing

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Published Papers

This special issue is now open for submission.
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