Intelligent Assessment on Durability of Concrete Structures
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 80
Special Issue Editors
Interests: structural reinforcement and renovation; durability of concrete structures; intelligent detection of hidden defects
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent structural monitoring and evaluation of bridges based on image analysis; AI and other new technologies; prediction of life-cycle performance evolution of bridges based on digital twins
Interests: the bond behavior of CFRP-to-concrete/steel bonded joints under complex loading conditions; application of advanced composite materials in civil infrastructure
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As global infrastructure ages and environmental challenges intensify, the durability assessment of concrete structures has become a critical focus in civil engineering. While traditional evaluation methods are constrained by inefficiencies in manual inspection and limited data integration capabilities, rapid advancements in intelligent technologies offer transformative potential for this field. This Special Issue “Intelligent Assessment on Durability of Concrete Structures” aims to highlight innovative applications of intelligent technologies in the durability assessment of concrete structures, fostering the integration of interdisciplinary research and advancing the development of sustainable infrastructure.
This Special Issue invites research that bridges theoretical breakthroughs, algorithmic innovations, and engineering practices, with an emphasis on the deep integration of AI with traditional mechanical models. Submissions addressing industrial case studies and scalable solutions are particularly encouraged. By compiling cutting-edge contributions from across the globe, this Special Issue seeks to create a technical framework for intelligent durability assessments, ultimately supporting the data-driven lifecycle management of infrastructure.
The recommended topics of these submissions include, but are not limited to, the following:
- Intelligent inspection technologies;
- Data-driven modeling;
- Multiscale simulations;
- Durability evaluation of civil engineering materials;
- Decision-support systems;
- Standardization evolution.
Original work highlighting the latest research and technical developments in this field is encouraged, but review papers and comparative studies are also welcome.
Prof. Dr. Yi Wang
Prof. Dr. Pengru Deng
Dr. Hao Zhou
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
- intelligent assessment
- concrete durability
- structural health monitoring
- artificial intelligence
- engineering practices
- simulation
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