Advanced Studies in Structural Performance, Durability, and Constractional Improvements of Reinforced Concrete Structures
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 30 July 2026 | Viewed by 78
Special Issue Editors
Interests: structural performance evaluation; collapse assessment of structures; seismic risk analysis; earthquake engineering; fluid viscous dampers; buckling-restrained braces; shape memory alloy; fiber-reinforced polymer; fiber-reinforced concrete; machine learning methods; steel and reinforced concrete structures
Interests: seismic risk; retrofitting; machine learning; shape memory alloy; soil–structure interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Reinforced concrete (RC) remains one of the most widely used construction materials worldwide due to its versatility, strength, and cost-effectiveness. However, growing concerns related to aging infrastructure, environmental degradation, and increasing seismic and climate-related demands necessitate advanced research regarding improvements in the performance and durability of RC structures. This Special Issue aims to highlight recent innovations in the analysis, design, materials, and retrofitting techniques that enhance both the structural integrity and long-term sustainability of RC systems. Key areas of interest include advanced modeling and experimental studies on structural performance under extreme loads, the integration of smart and sustainable materials, novel construction methods, and the development of performance-based design strategies. In addition, we welcome the submission of articles that focus on the application of fiber-reinforced concrete (FRC), high-performance concrete (HPC), corrosion-resistant systems, alkali-activated HPC and UHPC, and life-cycle assessment (LCA).
By placing enhanced emphasis on resilient and sustainable infrastructure, this Special Issue provides a platform for researchers and practitioners to share innovative findings and practical solutions that address both current challenges and future needs.
Dr. Neda Asgarkhani
Dr. Farzin Kazemi
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
- reinforced concrete (RC) structures
- structural performance
- structural durability
- constructional improvements
- seismic performance
- structural health monitoring
- material degradation
- concrete technology
- high-performance concrete (HPC)
- fiber-reinforced concrete (FRC)
- corrosion resistance
- service life prediction
- retrofitting techniques
- nonlinear analysis
- structural rehabilitation
- crack propagation
- load-bearing capacity
- sustainable construction materials
- experimental testing
- finite element modeling (FEM)
- life-cycle assessment (LCA)
- structural optimization
- advanced cementitious materials
- damage assessment
- smart materials in RC
- machine learning methods
- data-driven methods
- artificial neural networks
- data-based predictive models
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