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Advanced Research Progress of Concrete

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".

Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 3680

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Guest Editor
Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
Interests: ceramics; concrete; composites; nanomaterials; microstructure
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Concrete is the most widely used construction material. It is characterised by a high compressive strength, availability, durability, as well as a compatible behaviour with reinforcement bars, low price, simple preparation, and possibility of casting into desired shapes and sizes. However, concrete occurs in a brittle state characterised by a relatively low tensile strength, weak resistance to crack formation, and strain properties. Since the construction engineering of modern structures demands components with a greater durability, specific properties and higher mechanical strength, recent studies in concrete development focused on improving concrete properties by integrating it with innovative solutions, e.g., the addition of nanomaterials to cement-based products, reinforcements with the addition of fibres, supplementary cementitious components, special admixtures, etc. These approaches resulted in the emergence of so-called smart concretes, self-healing and/or self-curing concretes, ultra-high-performance concretes, and sustainable concretes.

Smart concrete is a very broad category of materials that includes self-sensing concrete and self-adjusting concrete, which both have excellent mechanical properties and durability, a long service life, and easy installation and maintenance. Self-sensing and self-adjusting concretes have a wide application in civil infrastructures, such as high-rise buildings, highways, bridges, runways for airports, continuous slab-type sleepers for high-speed trains, dams, and nuclear power plants. In particular, they have great potential in the field of structural health monitoring, traffic detection, and border/military security.

Self-healing and/or self-curing concretes can be described as concrete elements that can achieve self-repair and return to their original condition by reducing cracks, and at the same time, reducing maintenance expenses and increasing strength and durability.

Ultra-high-performance concrete is a cementitious Portland cement-based concrete with supplementary cementitious materials. It has a superb strength, durability, ductility and toughness.

Sustainable concretes include reinforcing fibres (e.g., steel, polypropylene, carbon fibres), recycled materials (e.g., tire rubber, crushed glass, plastic, industrial waste), as well as organic and inorganic elements, such as concrete aggregates and reinforcement elements. Sustainable construction materials can reduce the amount constitutive elements of concrete required for civil constructions. In addition, some sustainable materials added to cement can improve certain properties of the concrete, such as the compressive and flexural strength of concrete structural elements.

In addition to recent concrete developments, one has to also consider two supplementary aspects in concrete manufacturing and production. Namely, the possibility of 3D concrete printing, also known as the additive manufacturing and recycling of concrete. Numerous challenges are being faced by the construction industry in implementing the additive manufacturing of concrete on a large scale due to the scarcity of information available with reference to this technology, including concrete pumpability, extrudability, buildability and shape retentivity. Nevertheless, 3D concrete printing is an emerging technology in the construction industry with the potential to change the way cementitious materials are used to create infrastructure components. Finally, the recycling of concrete and other building materials during building processes and at the end of life cycles is usually inadequately arranged, despite the fact that crushed concrete is easily recycled into aggregates for new concrete.

Dr. Marjan Marinšek
Guest Editor

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Keywords

  • concrete
  • smart concretes
  • self-healing and/or self-curing concretes
  • ultra-high-performance concretes
  • sustainable concretes
  • 3D concrete printing
  • recycling of concrete

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Published Papers (2 papers)

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Research

15 pages, 1153 KiB  
Article
Performance Modeling of Spherical Capsules during Mixing of Self-Consolidating Concrete
by Samir E. Chidiac and Mouna A. Reda
Materials 2023, 16(6), 2379; https://doi.org/10.3390/ma16062379 - 16 Mar 2023
Cited by 2 | Viewed by 1522
Abstract
Autonomous healing is a very promising technique in self-healing concrete systems. For capsules to achieve their anticipated performance, they should be able to survive the harsh mixing conditions of concrete, yet rupture upon concrete cracking. At present, there are no standard test methods, [...] Read more.
Autonomous healing is a very promising technique in self-healing concrete systems. For capsules to achieve their anticipated performance, they should be able to survive the harsh mixing conditions of concrete, yet rupture upon concrete cracking. At present, there are no standard test methods, either experimental or analytical, for determining the capsule survival rate during concrete mixing. This study investigates the correlation between the capsules’ shell properties, concrete rheological properties, the capsules’ external forces, and capsule survival rate during concrete mixing. Finite element and statistical modeling techniques were employed to evaluate the capsule performance and predict the survival rate of capsules during concrete mixing, with 68% confidence. The results revealed that the capsules’ survivability during concrete mixing is highly influenced by the capsule’s radius-to-thickness ratio, the rheological properties of the fresh concrete, the average-paste-thickness (APT) of the concrete mix, the aggregate content and angularity, and the speed of the mixer. In brief, capsules with a radius-to-thickness ratio between 30 and 45 are likely to survive concrete mixing and yet still rupture upon concrete cracking. Full article
(This article belongs to the Special Issue Advanced Research Progress of Concrete)
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20 pages, 7224 KiB  
Article
Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming
by Muhammad Nasir Amin, Muhammad Raheel, Mudassir Iqbal, Kaffayatullah Khan, Muhammad Ghulam Qadir, Fazal E. Jalal, Anas Abdulalim Alabdullah, Ali Ajwad, Majdi Adel Al-Faiad and Abdullah Mohammad Abu-Arab
Materials 2022, 15(19), 6959; https://doi.org/10.3390/ma15196959 - 7 Oct 2022
Cited by 7 | Viewed by 1790
Abstract
The useful life of a concrete structure is highly dependent upon its durability, which enables it to withstand the harsh environmental conditions. Resistance of a concrete specimen to rapid chloride ion penetration (RCP) is one of the tests to indirectly measure its durability. [...] Read more.
The useful life of a concrete structure is highly dependent upon its durability, which enables it to withstand the harsh environmental conditions. Resistance of a concrete specimen to rapid chloride ion penetration (RCP) is one of the tests to indirectly measure its durability. The central aim of this study was to investigate the influence of different variables, such as, age, amount of binder, fine aggregate, coarse aggregate, water to binder ratio, metakaolin content and the compressive strength of concrete on the RCP resistance using a genetic programming approach. The number of chromosomes (Nc), genes (Ng) and, the head size (Hs) of the gene expression programming (GEP) model were varied to study their influence on the predicted RCP values. The performance of all the GEP models was assessed using a variety of performance indices, i.e., R2, RMSE and comparison of regression slopes. The optimal GEP model (Model T3) was obtained when the Nc = 100, Hs = 8 and Ng = 3. This model exhibits an R2 of 0.89 and 0.92 in the training and testing phases, respectively. The regression slope analysis revealed that the predicted values are in good agreement with the experimental values, as evident from their higher R2 values. Similarly, parametric analysis was also conducted for the best performing Model T3. The analysis showed that the amount of binder, compressive strength and age of the sample enhanced the RCP resistance of the concrete specimens. Among the different input variables, the RCP resistance sharply increased during initial stages of curing (28-d), thus validating the model results. Full article
(This article belongs to the Special Issue Advanced Research Progress of Concrete)
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