Advances in High-Performance Construction Materials

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

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 1773

Special Issue Editors


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Guest Editor
Department of Architectural Engineering, Kangwon National University, Chuncheon-si 24341, Republic of Korea
Interests: building construction; construction materials; concrete engineering
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Special Issue Information

Dear Colleagues,

Civil engineering is an important part of human society, and construction materials are constitutive elements of infrastructure.

The purpose of this Special Issue is to provide a platform for researchers, producers, and users to discuss high-performance construction materials, to realize the optimization of their research and the development, production, and use processes of construction materials, and help them develop environmentally friendly, low-cost, and energy-saving materials. The construction materials that possess such characteristics can meet the current and future needs of society.

The topics that will be considered for this journal include but are not limited to the following:

  1. High-performance cement-based materials (cement, concrete, geopolymer, etc.);
  2. New steel materials and steel structures;
  3. Energy materials and building maintenance materials;
  4. Material durability and structural durability;
  5. Structural durability, life prediction, and reliability analysis;
  6. Construction and management of early-age concrete;
  7. Chemical admixtures;
  8. Mineral admixtures;
  9. Hydration heat;
  10. Finite element method.

This Special Issue welcomes both experimental papers and review papers; your contributions are welcome.

Prof. Dr. Ki-Bong Park
Prof. Dr. Xiaoyong Wang
Guest Editors

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

  • concrete
  • steel
  • sustainable development
  • construction technology

Published Papers (2 papers)

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Research

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22 pages, 9578 KiB  
Article
Explainable Data-Driven Ensemble Learning Models for the Mechanical Properties Prediction of Concrete Confined by Aramid Fiber-Reinforced Polymer Wraps Using Generative Adversarial Networks
by Celal Cakiroglu
Appl. Sci. 2023, 13(21), 11991; https://doi.org/10.3390/app132111991 - 02 Nov 2023
Cited by 1 | Viewed by 770
Abstract
The current study offers a data-driven methodology to predict the ultimate strain and compressive strength of concrete reinforced by aramid FRP wraps. An experimental database was collected from the literature, on which seven different machine learning (ML) models were trained. The diameter and [...] Read more.
The current study offers a data-driven methodology to predict the ultimate strain and compressive strength of concrete reinforced by aramid FRP wraps. An experimental database was collected from the literature, on which seven different machine learning (ML) models were trained. The diameter and length of the cylindrical specimens, the compressive strength of unconfined concrete, the thickness, elasticity modulus and ultimate tensile strength of the FRP wrap were used as the input features of the machine learning models, to predict the ultimate strength and strain of the specimens. The experimental dataset was further enhanced with synthetic data using the tabular generative adversarial network (TGAN) approach. The machine learning models’ performances were compared to the predictions of the existing strain capacity and compressive strength prediction equations for aramid FRP-confined concrete. The accuracy of the predictive models was measured using state-of-the-art statistical metrics such as the coefficient of determination, mean absolute error and root mean squared error. On average, the machine learning models were found to perform better than the available equations in the literature. In particular, the extra trees regressor, XGBoost and K-nearest neighbors algorithms performed significantly better than the remaining algorithms, with R2 scores greater than 0.98. Furthermore, the SHapley Additive exPlanations (SHAP) method and individual conditional expectation (ICE) plots were used to visualize the effects of various input parameters on the predicted ultimate strain and strength values. The unconfined compressive strength of concrete and the ultimate tensile strength of the FRP wrap were found to have the greatest impact on the machine learning model outputs. Full article
(This article belongs to the Special Issue Advances in High-Performance Construction Materials)
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Review

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17 pages, 8556 KiB  
Review
Ultra-High-Performance Concrete (UHPC) Piles and Splicing Options
by Michael Odelola, Seyed Saman Khedmatgozar Dolati, Armin Mehrabi and David Garber
Appl. Sci. 2024, 14(2), 827; https://doi.org/10.3390/app14020827 - 18 Jan 2024
Viewed by 709
Abstract
Conventional driven piles are made from steel, concrete, timber, or composite materials. These piling options have limitations with respect to corrosion, durability, driveablity, and performance. Ultra-High-Performance Concrete (UHPC) pile is a new alternative that has already been adopted by various state Departments of [...] Read more.
Conventional driven piles are made from steel, concrete, timber, or composite materials. These piling options have limitations with respect to corrosion, durability, driveablity, and performance. Ultra-High-Performance Concrete (UHPC) pile is a new alternative that has already been adopted by various state Departments of Transportation in the United States for addressing the limitations that exist with conventional piles. UHPC piles are made of a cementitious composite material mixture that possesses exceptional properties such as higher strength, low capillary porosity, and high resistance to corrosion, making them a suitable option for use as a deep foundation. For several reasons, it is necessary to cast piles with a shorter length and splice them at the site to reach the desired lengths. These reasons include shipping limitations, unpredictable soil condition, reducing transportation costs, construction time, and damage during installation. This study aims to explore and summarize the currently available options for connecting UHPC pile segments. Accordingly, after a brief introduction on driven piles, this paper investigates various splicing systems that can be used for UHPC piles through reviewing previous research studies and field applications. The applicable splices are then compared based on several criteria such as capacity, durability, cost, and ease of application. Full article
(This article belongs to the Special Issue Advances in High-Performance Construction Materials)
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