Next-Generation Smart Construction: Civil Engineering Materials and Technologies
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".
Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 430
Special Issue Editors
Interests: liquid crystal elastomers; self-oscillation; multi-physical fields; solid mechanics; active materials
Special Issues, Collections and Topics in MDPI journals
Interests: lca; BIM; revit; designbuilder; public buildings; GGE; sustainable construction; green buildings
Interests: soil constitutive relations; underground building structures; intelligent material mechanics; reinforced soil structure and slope support; prefabricated buildings
Interests: environmental economics; civil engineering; environmental engineering; materials engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Overview:
The construction industry is rapidly evolving through the integration of innovative materials and advanced technological solutions. This transformative phase is driven by the need to improve project efficiency, enhance structural sustainability, and ensure long-term resilience against environmental impacts. As global demands for safer, more efficient, and environmentally friendly construction grow, there is a significant push to develop materials that are not only durable and cost-effective but also possess adaptive capabilities such as self-healing and environmental responsiveness.
The aim of this Special Issue is to showcase research that highlights breakthroughs in the formulation and application of smart construction materials, alongside the adoption of cutting-edge technologies in civil engineering practices. It will cover a broad spectrum of topics including the development of new material composites, innovations in construction techniques, and the implementation of artificial intelligence for optimizing building designs and operations. Contributions may include studies on the life cycle analysis of materials, advances in 3D printing for building complex structures, and the integration of IoT devices for real-time monitoring and control systems in construction projects.
Through comprehensive reviews, case studies, and original research articles, this Special Issue will provide a platform for academics, researchers, and practitioners to explore how these advancements can be harnessed to transform the future landscape of civil engineering.
Topics of Interest:
We invite original research articles, case studies, and comprehensive reviews on the topics including, but not limited, to following:
- New construction materials and their properties (self-healing concrete, advanced composites, etc.);
- Smart sensors and IoT solutions for construction monitoring and management;
- Advances in digital fabrication techniques, including 3D printing in construction;
- Sustainable and green building technologies;
- Implementation of artificial intelligence and machine learning in construction management and structural health monitoring;
- Life cycle assessment and optimization of new construction materials and methods;
- Case studies on the use of innovative materials and technologies in modern construction;
- Economic and regulatory challenges associated with adopting new technologies in civil engineering.
Submission Guidelines:
Authors are encouraged to submit high-quality, original work that has not been published elsewhere. Submissions should follow the journal's formatting guidelines available at https://www.mdpi.com/journal/buildings/instructions. Manuscripts should provide rigorous scientific analysis along with practical implications for the construction industry. All papers must be submitted electronically through the journal’s online submission system.
Peer Review:
This Special Issue will undergo a thorough peer-review process consistent with the standards of the journal Buildings. Each submission will be reviewed by at least two independent experts in the field to ensure the publication of high-quality and impactful research.
Contact Information:
For inquiries regarding this call for papers, please contact the Guest Editors at baoqcheng4-c@my.cityu.edu.hk or the Buildings editorial office at astoria.yao@mdpi.com.
We look forward to your contributions to this exciting field and to advancing the future of smart construction in civil engineering.
Dr. Kai Li
Prof. Dr. Dong Chen
Dr. Junxiu Liu
Dr. Baoquan Cheng
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
- new construction materials
- digital fabrication techniques
- smart sensors and IoT
- green building technologies
- artificial intelligence
- machine learning
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