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Innovative Approaches and Sustainable Practices in Concrete: Integrating Artificial Intelligence for Enhanced Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 2364

Special Issue Editor


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Guest Editor
Structure and Materials Laboratory, National School of Architecture, Rabat 10000, Morocco
Interests: sustainable building materials; artificial intelligence in construction; environmental impact assessment; material efficiency
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The construction industry is at a pivotal moment, facing increasing demands for sustainable practices and innovative materials to meet environmental challenges and enhance building performance. This Special Issue will explore the latest advancements in and research on the sustainable development of concrete, with a particular focus on the integration of artificial intelligence (AI) to drive innovation and efficiency. Concrete, being one of the most widely used construction materials, presents numerous opportunities for sustainability improvements through innovative approaches. Topics will include the development of eco-friendly concrete mixtures, the utilization of waste and recycled materials, advancements in material efficiency, and the role of AI in optimizing mix design, predicting performance, and enhancing quality control. By bringing together cutting-edge research and practical applications, this Special Issue will provide a comprehensive overview of the prospects and challenges involved in creating more sustainable and intelligent concrete solutions. We invite researchers and practitioners to contribute their insights and findings, encouraging scholarly collaboration to enable more sustainable and resilient construction practices.

Prof. Dr. Mouhcine Benaicha
Guest Editor

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. Sustainability 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

  • sustainable concrete
  • eco-friendly construction
  • recycled materials
  • waste utilization
  • material efficiency
  • artificial intelligence in construction
  • green building practices
  • environmental impact
  • intelligent mix design
  • sustainable construction techniques
  • quality control in concrete
  • resilient infrastructure

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Published Papers (1 paper)

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Research

17 pages, 3673 KiB  
Article
AI-Driven Prediction of Compressive Strength in Self-Compacting Concrete: Enhancing Sustainability through Ultrasonic Measurements
by Mouhcine Benaicha
Sustainability 2024, 16(15), 6644; https://doi.org/10.3390/su16156644 - 3 Aug 2024
Cited by 4 | Viewed by 1440
Abstract
This study investigates the application of artificial intelligence (AI) to predict the compressive strength of self-compacting concrete (SCC) through ultrasonic measurements, thereby contributing to sustainable construction practices. By leveraging advancements in computational techniques, specifically artificial neural networks (ANNs), we developed highly accurate predictive [...] Read more.
This study investigates the application of artificial intelligence (AI) to predict the compressive strength of self-compacting concrete (SCC) through ultrasonic measurements, thereby contributing to sustainable construction practices. By leveraging advancements in computational techniques, specifically artificial neural networks (ANNs), we developed highly accurate predictive models to forecast the compressive strength of SCC based on ultrasonic pulse velocity (UPV) measurements. Our findings demonstrate a clear correlation between higher UPV readings and improved concrete quality, despite the general trend of decreased compressive strength with increased air-entraining admixture (AEA) concentrations. The ANN models show exceptional effectiveness in predicting compressive strength, with a correlation coefficient (R2) of 0.99 between predicted and actual values, providing a robust tool for optimizing SCC mix designs and ensuring quality control. This AI-driven approach enhances sustainability by improving material efficiency and significantly reducing the need for traditional destructive testing methods, thus offering a rapid, reliable, and non-destructive alternative for assessing concrete properties. Full article
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