Advances in Building Structure Analysis and Health Monitoring

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

Deadline for manuscript submissions: 30 September 2025 | Viewed by 559

Special Issue Editors


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Guest Editor
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
Interests: artificial intelligence; structural vibration analysis; building information modeling; structural damage identification

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Guest Editor
Laboratory IRAMAT-UMR-7065 CNRS, University of Bourgogne Franche-Comté (UTBM), 90010 Belfort, France
Interests: structural optimization; multiscale modeling; applications of artificial intelligence in civil engineering
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Guest Editor
Research Centre for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou 510006, China
Interests: structural health monitoring; damage identification; defect detection of building; artificial intelligence technology; signal analysis

Special Issue Information

Dear Colleagues,

Rapid advancements in artificial intelligence (AI) have opened new frontiers in building structure analysis and health monitoring. This Special Issue focuses on the integration of AI technologies to enhance the safety, efficiency, and longevity of building structures. Contributions that explore innovative AI-based techniques, such as machine learning, deep learning, and data-driven models, for structural analysis, damage detection, and predictive maintenance, are invited. We are particularly interested in interdisciplinary approaches that combine AI with traditional structural engineering methods, enabling real-time monitoring and adaptive solutions to structural challenges. Our aim is to provide a platform for groundbreaking research that contributes to the evolution of intelligent building systems.

Prof. Dr. Gongfa Chen
Prof. Dr. David H. Bassir
Dr. Shuai Teng
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

  • artificial intelligence
  • building structures
  • structural health monitoring
  • machine learning
  • predictive maintenance
  • deep learning
  • structural analysis
  • damage detection
  • data-driven models
  • smart buildings

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Published Papers (1 paper)

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Research

16 pages, 4163 KiB  
Article
Experimental and Theoretical Investigation on Cracking Behavior and Influencing Factors of Steel-Reinforced Concrete Deep Beams
by Gaoxing Hu, Lei Zeng, Buqing Chen and Shuai Teng
Buildings 2025, 15(11), 1812; https://doi.org/10.3390/buildings15111812 - 25 May 2025
Viewed by 309
Abstract
Steel-reinforced concrete (SRC) deep beams have been widely used in engineering applications such as high-rise buildings and long-span bridges, with their structural behavior and mechanical properties attracting significant research attention. To investigate the shear cracking behavior of SRC deep beams, seven specimens with [...] Read more.
Steel-reinforced concrete (SRC) deep beams have been widely used in engineering applications such as high-rise buildings and long-span bridges, with their structural behavior and mechanical properties attracting significant research attention. To investigate the shear cracking behavior of SRC deep beams, seven specimens with a scale of 0.4 times were designed for static loading tests, and the influence of the shear-span-to-depth ratio λ, the width ratio of the steel flange, and the height ratio of the steel web on the width and spacing of the diagonal crack was considered. The cracking behavior of the diagonal cracks in the shear span area were recorded by the digital image correlation (DIC) technique. The results show the following: (1) the use of the DIC technology revealed the entire process of crack occurrence, development, and evolution and obtained the distribution characteristics of crack development; (2) the steel flange width has a slight effect on the spacing and width of the diagonal cracks. The diagonal crack width increased with the improvement of the height of the steel web, but the influence of the steel web on the spacing of diagonal cracks was not significant. When the height ratio increased from 0.3 to 0.45 and 0.6, the maximum oblique crack width increased by 13% and 14.5%. Based on the above experimental results and relevant analysis conclusions, an improved method was proposed to calculate the diagonal crack width of composite deep beams by further considering the influence of the crack angle. Finally, the experimental results verified its high accuracy in a qualitative analysis. The calculation method proposed in this article can be used to predict and estimate the width of diagonal cracks in SRC deep beams. Full article
(This article belongs to the Special Issue Advances in Building Structure Analysis and Health Monitoring)
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