Engineered Supplementary Cementitious Material-Based Mortar/Concrete with Enhanced Mechanical and Durability Performance

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 2855

Special Issue Editors


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Guest Editor
Department of Civil Engineering, Stellenbosch University, Stellenbosch 7602, South Africa
Interests: green concrete; fibre-reinforced concrete; concrete durability; use of supplementary cementitious materials, geopolymer concrete, 3D printed concrete; creep of concrete
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Guest Editor
Department of Civil Engineering, Stellenbosch University, Stellenbosch 7602, South Africa
Interests: early age concrete cracking; cement compatibility issues; nanomaterials; admixtures; green concrete; concrete durability; use of supplementary cementitious materials; 3D printed concrete

Special Issue Information

Dear Colleagues,

With the increasing energy demand and carbon footprint from the production of cement, it is imperative to develop cement-based mixes, which are sustainable, environmentally friendly, and have enhanced engineering properties compared to conventional cement-based materials. Supplementary cementitious materials (SCMs) make a viable option as full or partial substitutes for cement clinkers. However, mixes incorporating SCMs must be engineered to produce mortar/concrete with enhanced properties even at high-volume substitution with a clear experimental description of the mechanisms involved. This Special Issue seeks to publish research findings on mortar/concrete with enhanced engineering properties with a significantly low carbon footprint through the use of SCMs (agricultural waste, industrial waste, and natural pozzolans).

Prof. Dr. Adewumi John Babafemi
Prof. Dr. Riaan Combrinck
Guest Editors

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Keywords

  • supplementary cementitious materials
  • characterization
  • fresh properties
  • rheology
  • mechanical properties
  • durability, microstructure

Published Papers (2 papers)

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Research

19 pages, 3835 KiB  
Article
The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach
by Marwa Hameed Abdallah, Zainab Abdulrdha Thoeny, Sadiq N. Henedy, Nadia Moneem Al-Abdaly, Hamza Imran, Luís Filipe Almeida Bernardo and Zainab Al-Khafaji
Appl. Sci. 2023, 13(14), 8325; https://doi.org/10.3390/app13148325 - 19 Jul 2023
Cited by 2 | Viewed by 1083
Abstract
Reinforced concrete (RC) flat slabs are widely employed in modern construction, and accurately predicting their load-carrying capacity is crucial for ensuring safety and reliability. Existing design methods and empirical equations still exhibit discrepancies in determining the ultimate load capacity of flat slabs. This [...] Read more.
Reinforced concrete (RC) flat slabs are widely employed in modern construction, and accurately predicting their load-carrying capacity is crucial for ensuring safety and reliability. Existing design methods and empirical equations still exhibit discrepancies in determining the ultimate load capacity of flat slabs. This study aims to develop a robust machine learning model, specifically the M5P model tree, for predicting the punching shear capacity of a RC flat slab without shear reinforcement. A comprehensive dataset of 482 experimentally tested flat slabs without shear reinforcement was gathered through an extensive literature review and utilized for the development of the M5P model. The model takes into account influential parameters, such as slab thickness, longitudinal reinforcement ratios, and concrete strength. The performance of the proposed M5P model was compared with existing design codes and other empirical models. The comparison highlights that the developed M5P model tree provides a more accurate and reliable prediction of the punching shear capacity of RC flat slabs. This study contributes to the advancement of structural engineering knowledge and has the potential to improve the design and safety assessment of concrete flat slab structures. Full article
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11 pages, 1797 KiB  
Communication
Improving the Creep Resistance of Hardened Cement Paste through the Addition of Wollastonite Microfibers: Evaluation Using the Micro-Indentation Technique
by Sami Doner, Jonathan T. Villada and Sumanta Das
Appl. Sci. 2023, 13(5), 2933; https://doi.org/10.3390/app13052933 - 24 Feb 2023
Viewed by 1020
Abstract
This paper evaluates the creep behavior of wollastonite-microfiber-reinforced hardened cement paste. A parametric study was performed for cementitious mixtures with partial replacement of cement using wollastonite. The samples were subjected to uniaxial compression and microindentation experiments. The compressive strength significantly improved by up [...] Read more.
This paper evaluates the creep behavior of wollastonite-microfiber-reinforced hardened cement paste. A parametric study was performed for cementitious mixtures with partial replacement of cement using wollastonite. The samples were subjected to uniaxial compression and microindentation experiments. The compressive strength significantly improved by up to 30% for the mixture containing 10% wollastonite fiber. Microindentation experiments were performed to evaluate the creep response and time-dependent performance of both the control and the wollastonite-fiber-reinforced samples. Approximately 36% increase in creep modulus was observed with 10% wollastonite fiber content. This indicates a significant improvement in creep behavior, which can be attributed to the micro-reinforcing effect of the fibers. No significant impact was observed for time characteristic of creep with the incorporation of wollastonite fibers. Overall, the study establishes a cost-effective, sustainable, and efficient route to enhance the creep behavior of hardened cement paste for a wide range of infrastructural applications. Full article
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