The Greening of the Reinforced Concrete Industry

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 749

Special Issue Editors


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Guest Editor
College of Architecture and Environment, Sichuan University, Chengdu 610065, China
Interests: building structure; recycled concrete; high-performance concrete

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Guest Editor
College of Civil Engineering, Sichuan Agricultural University, Yucheng 625014, China
Interests: recycled resources; sustainable construction materials; low-carbon concrete; structural performance

Special Issue Information

Dear Colleagues,

High-performance green and low-carbon concrete materials and their structural properties are essential for addressing the pressing challenges of sustainable construction, including reducing carbon footprints, enhancing durability, and improving energy efficiency. In recent years, significant advancements have been achieved in the development of eco-friendly concrete, incorporating industrial by-products, recycled aggregates, and carbon-capture technologies. These innovative materials not only exhibit superior mechanical strength and long-term durability, but also contribute to minimizing environmental impact.

However, challenges remain in terms of cost-effectiveness, large-scale production, and seamless integration with industrial practices. This Special Issue aims to gather leading researchers to share cutting-edge research, practical applications, and future trends in green and low-carbon high-performance concrete. Key topics will include material design and optimization, structural performance under various conditions, life-cycle assessment, and real-world implementation case studies. By promoting interdisciplinary collaboration and knowledge dissemination, this initiative seeks to accelerate the adoption of sustainable concrete solutions, paving the way for a greener, more resilient built environment.

Dr. Jiangfeng Dong
Dr. Shucheng Yuan
Guest Editors

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Keywords

  • recycled resources
  • sustainable materials
  • low-carbon
  • structural performance
  • repair
  • high-performance
  • durability
 

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Published Papers (1 paper)

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Research

23 pages, 8298 KB  
Article
Effect of Freeze–Thaw Cycles on Bond Properties at the FRP-Concrete Interface: Experimental Evaluation and Machine Learning Prediction
by Wei Liang, Shiying Liu, Haoran Liu, Guang Yang and Yongming Gao
Buildings 2025, 15(22), 4038; https://doi.org/10.3390/buildings15224038 - 9 Nov 2025
Viewed by 587
Abstract
Fiber-reinforced polymer (FRP)–concrete bonding is widely adopted for structural strengthening, yet its durability is highly vulnerable to freeze–thaw (FT) degradation. This study combines experimental testing with interpretable machine learning (ML) to reveal the degradation mechanism and predict the interfacial behavior of FRP–concrete systems [...] Read more.
Fiber-reinforced polymer (FRP)–concrete bonding is widely adopted for structural strengthening, yet its durability is highly vulnerable to freeze–thaw (FT) degradation. This study combines experimental testing with interpretable machine learning (ML) to reveal the degradation mechanism and predict the interfacial behavior of FRP–concrete systems under FT exposure. Single-lap shear tests showed that all specimens failed through interfacial debonding accompanied by partial concrete peeling. The ultimate bond strength decreased by 6.0–18.5%, and the peak shear stress dropped by 53–80%, indicating a pronounced loss of ductility and adhesion. To extend the analysis, experimental data were integrated with literature datasets, and three ensemble ML algorithms—AdaBoost, Random Forest (RF), and Extreme Gradient Boosting (XGBoost)—were employed to predict key bond–slip parameters including ultimate bond strength, local maximum bond stress, slip values, and interfacial fracture energy. Among them, XGBoost achieved the highest predictive accuracy, with R2 values exceeding 0.94 for most output parameters and consistently low RMSE values. Shapley Additive exPlanations (SHAP) and Partial Dependence Plots (PDPs) further identified adhesive tensile strength, fiber modulus, FRP thickness, and concrete strength as dominant factors and defined their optimal ranges. The findings offer a scientific foundation for evaluating and predicting the long-term bond durability of FRP–concrete systems and support the development of reliable reinforcement strategies for infrastructure in cold and severe environments. Full article
(This article belongs to the Special Issue The Greening of the Reinforced Concrete Industry)
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