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 June 2026 | Viewed by 808
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.
You may choose our Joint Special Issue in Applied Sciences.
Dr. Chuanqi Li
Guest Editor
Dr. Xiancheng Mei
Guest Editor Assistant
Manuscript Submission Information
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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
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