Geomaterials: Latest Advances in Materials for Construction and Engineering Applications (2nd Edition)

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

Deadline for manuscript submissions: 31 October 2024 | Viewed by 2237

Special Issue Editor


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Guest Editor
Department of Geology and Geochemistry, Faculty of Sciences, Autonomous University of Madrid, Cantoblanco, 28049 Madrid, Spain
Interests: construction materials; civil engineering materials; sustainable materials; geomaterials; aggregates; lightweight aggregates; concrete; cement; alkali-activated materials; ceramic materials; materials engineering; clay science; special clays; Atterberg limits; bentonite barriers; zeolites; soil engineering; geotechnics; circular economy; waste recycling; environmental technologies; life cycle assessment
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Special Issue Information

Dear Colleagues,

We are inviting submissions to this Special Issue on “Geomaterials: Latest Advances in Materials for Construction and Engineering Applications”.

The materials used both in the construction of buildings and in the execution of civil, geotechnical, and environmental engineering projects account for the majority of all goods consumed by mankind. It is worth noting that most of these materials are fundamentally mineral in nature, so they are defined as geomaterials. They may retain their primary characteristics (ornamental rocks, stone aggregates, clay barriers, compacted soils, etc.) or have been artificially manufactured, either from natural raw materials or from wastes (cement, concrete, ceramics, expanded lightweight aggregates, geopolymers, mineral wool, etc.).

The growing increase in population and demand for natural resources means that these geomaterials, so widely used, need to be studied in depth in order to adapt to current needs while contributing certain technological, environmental and economic benefits. In this sense, this Special Issue intends to include novel articles focused on the investigation of those materials used in large volumes both in construction and in other engineering areas, such as public works, environmental and geotechnical engineering, and waste sealing, among others.

All types of papers within this field are welcome, including studies related to the laboratory synthesis of new construction materials, fundamental research on certain physicochemical, mineralogical, and mechanical properties, the use of alternative manufacturing methods and raw materials (e.g., wastes), testing on a larger scale or even on site, analysis of the environmental impact/benefit of these materials (life cycle assessment), mathematical modeling, or any other subject related to the geomaterials used in construction and engineering applications. Although the main focus of this Special Issue is geomaterials, articles on other types of structural and engineering materials, such as metals, wood, geosynthetics, and others, will also be welcome.

Dr. José Manuel Moreno-Maroto
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. Applied Sciences 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

  • geomaterial
  • aggregate and lightweight aggregate
  • concrete, cement and mortar
  • ceramics and glass
  • alkali-activated material
  • gypsum
  • mineral wool
  • natural stone
  • metallic materials
  • insulating materials
  • wood
  • zeolite
  • asphalt binders and mixtures
  • road and geotechnical materials
  • clay and soil
  • geosynthetics
  • bentonite barrier
  • fiber reinforcement
  • waste recycling
  • life cycle assessment

Related Special Issue

Published Papers (3 papers)

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Research

21 pages, 1834 KiB  
Article
Effect of Data Augmentation Using Deep Learning on Predictive Models for Geopolymer Compressive Strength
by Ho Anh Thu Nguyen, Duy Hoang Pham and Yonghan Ahn
Appl. Sci. 2024, 14(9), 3601; https://doi.org/10.3390/app14093601 - 24 Apr 2024
Viewed by 231
Abstract
In recent years, machine learning models have become a potential approach in accurately predicting the concrete compressive strength, which is essential for the real-world application of geopolymer concrete. However, the precursor system of geopolymer concrete is known to be more heterogeneous compared to [...] Read more.
In recent years, machine learning models have become a potential approach in accurately predicting the concrete compressive strength, which is essential for the real-world application of geopolymer concrete. However, the precursor system of geopolymer concrete is known to be more heterogeneous compared to Ordinary Portland Cement (OPC) concrete, adversely affecting the data generated and the performance of the models. To its advantage, data enrichment through deep learning can effectively enhance the performance of prediction models. Therefore, this study investigates the capability of tabular generative adversarial networks (TGANs) to generate data on mixtures and compressive strength of geopolymer concrete. It assesses the impact of using synthetic data with various models, including tree-based, support vector machines, and neural networks. For this purpose, 930 instances with 11 variables were collected from the open literature. In particular, 10 variables including content of fly ash, slag, sodium silicate, sodium hydroxide, superplasticizer, fine aggregate, coarse aggregate, added water, curing temperature, and specimen age are considered as inputs, while compressive strength is the output of the models. A TGAN was employed to generate an additional 1000 data points based on the original dataset for training new predictive models. These models were evaluated on real data test sets and compared with models trained on the original data. The results indicate that the developed models significantly improve performance, particularly neural networks, followed by tree-based models and support vector machines. Moreover, data characteristics greatly influence model performance, both before and after data augmentation. Full article
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21 pages, 5963 KiB  
Article
Geochemical Evolution of Mg-Bentonite Affected by the Contact of Carbon Steel and a Hydrothermal Gradient
by Carlos Mota-Heredia, Jaime Cuevas and Raúl Fernández
Appl. Sci. 2024, 14(3), 1259; https://doi.org/10.3390/app14031259 - 02 Feb 2024
Viewed by 579
Abstract
Carbon steel and bentonite are materials selected as engineered barriers for high-level radioactive waste confinement. Their long-term interaction must be evaluated to confirm the barrier’s stability. Three laboratory experiments of the carbon steel—Mg-bentonite interaction were conducted for 1, 6, and 22 months under [...] Read more.
Carbon steel and bentonite are materials selected as engineered barriers for high-level radioactive waste confinement. Their long-term interaction must be evaluated to confirm the barrier’s stability. Three laboratory experiments of the carbon steel—Mg-bentonite interaction were conducted for 1, 6, and 22 months under a hydrothermal gradient. Changes in bentonite’s water content, specific surface area, and cation exchange capacity were measured. Mineralogy was studied by X-ray diffraction and scanning electron microscopy. The redistribution of aqueous species and the redox state of iron were determined across the bentonite columns. Results indicated water saturation after 22 months. The specific surface area of bentonite was reduced near contact with the steel, while the cation exchange capacity mostly decreased at 3–6 mm from the steel interface. The corrosion rate decreased with time and bentonite enriched in Fe in the first 1.5 mm from the steel contact. The formation of new Fe-bearing minerals, such as di-tri ferri-sudoite, magnetite, hematite, maghemite, lepidocrocite, siderite and ankerite was observed. Aqueous species redistributed in the porewater of bentonite with decreasing concentrations of Fe and Cl as a function of time and increasing concentrations of Na, Ca and SO4 after 22 months. This occurs under conditions where the bentonite is saturated with Mg, which conditioned the formation and nature of iron clay minerals with time. Full article
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15 pages, 4363 KiB  
Article
Influence of Warm Mix Asphalt Additives on the Physical Characteristics of Crumb Rubber Asphalt Binders
by Munder Bilema, Choon Wah Yuen, Mohammad Alharthai, Zaid Hazim Al-Saffar, Salam Ridha Oleiwi Aletba and Nur Izzi Md Yusoff
Appl. Sci. 2023, 13(18), 10337; https://doi.org/10.3390/app131810337 - 15 Sep 2023
Cited by 1 | Viewed by 961
Abstract
This investigation is centered around the application of warm mix asphalt (WMA) technologies to address workability concerns linked to rubberized asphalt binders. The primary aim of incorporating crumb rubber (CR) and WMA additives is to establish a robust paving method that fosters energy [...] Read more.
This investigation is centered around the application of warm mix asphalt (WMA) technologies to address workability concerns linked to rubberized asphalt binders. The primary aim of incorporating crumb rubber (CR) and WMA additives is to establish a robust paving method that fosters energy conservation, efficient waste management, noise reduction, and improved overall performance. The current study aims to comprehensively characterize and differentiate the physical attributes of rubberized asphalt binders by employing three distinct WMA additives: Sasobit, Cecabase RT and Rediset WMX. These additives are introduced into eight unique asphalt binders. Laboratory assessments are carried out to evaluate the workability and physical properties of these binders. The evaluation encompasses penetration, softening point, penetration index, penetration viscosity number, storage stability, ductility, viscosity, and stiffness modulus analyses. The findings indicate that the rubberized asphalt binder enhanced with Sasobit demonstrates the highest levels of both hardness and softening point in comparison to asphalt binders supplemented with alternative WMA additives. The evaluation of storage stability underscores the satisfactory stability across all modified asphalt binders. Both the unmodified and modified binders meet the requirements stipulated by the ductility test; the rubberized asphalt binder modified with Rediset falls short. The rubberized asphalt binder improved with Sasobit displays the most notable enhancement in workability. Furthermore, the blend of crumb rubber and Sasobit binder reveals the highest stiffness modulus values under conditions of intermediate and high temperatures with 1.88 and 0.46 MPa, respectively. In summation, the rubberized asphalt binder incorporating crumb rubber with Sasobit showcases superior improvements in both stiffness and workability compared to counterparts modified with Cecabase RT and Rediset WMX. Full article
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