Artificial Intelligence in the Design and Innovation of High-Performance Concrete Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Simulation and Design".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 123
Special Issue Editors
Interests: high-performance concrete; artificial intelligence; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of artificial intelligence (AI), its applications across various fields are deepening, showing tremendous potential, particularly in materials science and engineering. This Special Issue focuses on the cutting-edge application of AI in the design and development of high-performance concrete materials, aiming to explore how AI, through intelligent algorithms and data analysis, can enhance the performance and sustainability of concrete materials. High-performance concrete, known for its superior strength, durability, and potential for extreme environment applications, has gained significant attention in modern construction and infrastructure projects. AI technologies such as machine learning, deep learning, and optimization algorithms enable researchers to predict material performance more accurately, accelerate the design of novel concrete formulations, and achieve customized, intelligent production. Furthermore, AI offers innovative solutions for quality control during the concrete production process, optimizing waste material utilization, and conducting lifecycle analysis. This Special Issue will gather the latest research from top global scholars and engineers, providing an interdisciplinary platform for experts in the concrete field. Our aim is to promote intelligent design and green development of high-performance concrete materials, offering innovative ideas and technical support for the future of building materials.
The suggested themes for the Special Issue on "Artificial Intelligence in the Design and Innovation of High-Performance Concrete Materials" are as follows:
- AI-driven concrete mix design optimization;
- Intelligent performance prediction and modeling of concrete materials;
- Quality control and process optimization in concrete production using AI;
- AI applications in concrete waste management and recycling;
- AI in durability analysis of concrete materials;
- Intelligent and customized concrete material design.
Dr. Chuanqi Li
Guest Editor
Dr. Xiancheng Mei
Guest Editor Assistant
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. Materials 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
- high-performance concrete
- material design
- machine learning
- data analysis
- optimization algorithms
- sustainability
- intelligent production
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
