Artificial Intelligence in Material and Structural Optimization for Sustainable Infrastructure
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 1208
Special Issue Editors
Interests: 3D concrete printing; machine learning; FEA; performance-based design; composite structures
Interests: computational intelligence; computational mechanics; machine learning; masonry structures; structural engineering
Special Issues, Collections and Topics in MDPI journals
Interests: finite element modelling; shear retrofitting of concrete structures; concrete chemistry; concrete durability
Special Issue Information
Dear Colleagues,
The necessity for innovative methods in material selection, structural design, and infrastructure development has increased due to the global push for sustainability, resilience, and efficiency in the built environment. Smarter decision-making, automated performance improvement, and notable decreases in material, energy, and construction waste are all made possible by the integration of artificial intelligence (AI) with optimization approaches in engineering.
This Special Issue aims to explore the frontiers of AI-driven material and structural optimization with a focus on advancing sustainable infrastructure. Recent developments in metaheuristic algorithms, machine learning, deep learning, and multi-objective optimization are changing the way materials scientists and civil engineers approach design, fabrication, and performance evaluation.
We invite researchers, practitioners, and innovators to contribute original research articles, review papers, and case studies that demonstrate novel applications of AI and computational methods in the optimization of structural systems and materials for sustainable development.
This Special Issue will offer a platform for disseminating interdisciplinary advancements and facilitating dialogs among stakeholders in structural engineering, materials science, computational design, and sustainability.
Topics of interest include, but are not limited to, the following:
- AI-based structural design optimization for performance, cost, and sustainability.
- Data-driven materials design, selection, and multi-scale modeling.
- Topology and shape optimization of structural systems using machine learning and evolutionary algorithms.
- AI-assisted life-cycle assessment and embodied carbon minimization.
- Application of generative design and parametric tools for sustainable architecture and infrastructure.
- Integration of AI with digital fabrication and 3D concrete printing.
- Reinforcement learning and surrogate modeling in real-time structural optimization.
- Computational approaches for climate-resilient and adaptive infrastructure design.
- Case studies demonstrating AI-augmented optimization in bridges, buildings, pavements, or marine structures.
- Emerging trends, challenges, and ethical considerations in AI-driven engineering.
We welcome your valuable contributions to this Special Issue and look forward to showcasing pioneering work that pushes the boundaries of sustainable engineering through artificial intelligence and computational intelligence.
Dr. Satish Paudel
Prof. Dr. Panagiotis G. Asteris
Dr. Hakas Prayuda
Dr. T. Jeyakaran
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 (AI)
- generative design
- surrogate modeling
- additive manufacturing in construction
- resilient infrastructure
- life-cycle assessment (LCA)
- sustainable construction materials
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