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Applied Sciences
Special Issues
Durability and Intelligent Evaluation of Concrete Structures
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Durability and Intelligent Evaluation of Concrete Structures

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

Deadline for manuscript submissions: 20 August 2024 | Viewed by 1671

Special Issue Editors

Prof. Dr. Yi Wang

E-Mail Website
Guest Editor
School of Civil Engineering, Central South University, Changsha 410075, China
Interests: structural reinforcement and renovation; durability of concrete structures; intelligent detection of hidden defects
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yongzhi Gong

E-Mail Website
Guest Editor
School of Civil Engineering, Central South University, Changsha 410075, China
Interests: structural reinforcement and renovation; prefabricated structures
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Concrete structures are widely applied to buildings and infrastructures in both developed and developing countries. Although concrete is generally considered a durable construction material, there is still a great durability concern when concrete structures are subjected to harsh environments or fatigue loading. A great number of concrete structures in service need to be evaluated and repaired to ensure their safety and the maintenance of these existing concrete structures, which consumes significant portions of the national wealth of countries and makes conventional human-based inverventions inappropriate. Moreover, structural damages or defects are usually hidden and cannot be visualized from their appearance, and thus, it is difficult to evalute the performance of concrete structures and to propose a proper maintenance scheme. To solve these problems, intelligent evaluation methods need to be investigated so that proper maintenance schemes can be developed and the durability of the concrete structures before and after strengthening can be predicted.

Prof. Dr. Yi Wang
Prof. Dr. Yongzhi Gong
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

  • durability of concrete structures
  • cracking of concrete
  • intelligent evaluation
  • flexural behavior
  • strengthening
  • maintenance

Published Papers (3 papers)

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Research

19 pages, 963 KiB  
Article
Bond Strength Evaluation of FRP–Concrete Interfaces Affected by Hygrothermal and Salt Attack Using Improved Meta-Learning Neural Network
by Yi Wang, Ning Ye, Siyuan Liu, Zhengqin Zhang, Yihan Hu, Anni Wei and Haoyu Wang
Appl. Sci. 2024, 14(13), 5474; https://doi.org/10.3390/app14135474 - 24 Jun 2024
Viewed by 287
Abstract
Fiber-reinforced polymer (FRP) laminates are popular in the strengthening of concrete structures, but the durability of the strengthened structures is of great concern. Due to the susceptibility of the epoxy resin used for bonding and the deterioration of materials, the bond performance of [...] Read more.
Fiber-reinforced polymer (FRP) laminates are popular in the strengthening of concrete structures, but the durability of the strengthened structures is of great concern. Due to the susceptibility of the epoxy resin used for bonding and the deterioration of materials, the bond performance of the FRP–concrete interface could be degraded due to environmental exposure. This paper aimed to establish a data-driven method for bond strength prediction using existing test results. Therefore, a method composed of a Back Prorogation Net (BPNN) and Meta-learning Net was proposed, which can be used to solve the implicit regression problems in few-shot learning and can obtain the deteriorated bond strength and the impact weight of each parameter. First, the pretraining database Meta1, a database of material strength degradation, was established from the existing results and used in the meta-learning network. Then, the database Meta2 was built and used in the meta-learning network for model fine-tuning. Finally, combining all prior knowledge, not only the degradation of the FRP–concrete bond’s strength was predicted, but the respective weights of the environment parameters were also obtained. This method can accurately predict the degradation of the bond performance of FRP–concrete interfaces in complex environments, thus facilitating the further assessment of the remaining service life of FRP-reinforced structures. Full article
(This article belongs to the Special Issue Durability and Intelligent Evaluation of Concrete Structures)
12 pages, 1834 KiB  
Article
Water Impermeability of Self-Compacting Fly-Ash-Containing Concrete
by Leonid Dvorkin, Oleh Bordiuzhenko, Dariusz Mierzwiński, Tomasz Tracz and Mateusz Sitarz
Appl. Sci. 2024, 14(13), 5373; https://doi.org/10.3390/app14135373 - 21 Jun 2024
Viewed by 210
Abstract
The impermeability of self-compacting fly-ash-containing concrete at different ash contents and specific surface areas of ash is studied. The experimental and statistical dependences of the water separation of concrete mixtures, as well as the water impermeability and compressive strength of self-compacting concrete, depending [...] Read more.
The impermeability of self-compacting fly-ash-containing concrete at different ash contents and specific surface areas of ash is studied. The experimental and statistical dependences of the water separation of concrete mixtures, as well as the water impermeability and compressive strength of self-compacting concrete, depending on the composition factors, were obtained. A correlation between concrete strength and its water impermeability has been determined, which allows predicting the latter with sufficient accuracy. Full article
(This article belongs to the Special Issue Durability and Intelligent Evaluation of Concrete Structures)
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19 pages, 7247 KiB  
Article
Experimental Investigation of Compressive Concrete with Different Immersion Times and Its Stochastic Damage Model
by Jing Wang, Zhi Shan and Jiawei Kang
Appl. Sci. 2024, 14(2), 739; https://doi.org/10.3390/app14020739 - 15 Jan 2024
Viewed by 574
Abstract
Continuous large amounts of precipitation can lead to a rapid increase in the water content of concrete in village building foundations, which can adversely affect the mechanical properties, such as the compressive strength of concrete. There are few experimental studies on the compressive [...] Read more.
Continuous large amounts of precipitation can lead to a rapid increase in the water content of concrete in village building foundations, which can adversely affect the mechanical properties, such as the compressive strength of concrete. There are few experimental studies on the compressive stochastic mechanical properties of concrete in the wet state after considering different soaking times (different water contents and saturations), but there is no corresponding stochastic damage principal structure model. In this study, the mechanical properties of concrete under different immersion times were tested to obtain the mechanical properties of the concrete degradation law, and the random damage intrinsic model of wet concrete was established. The results of this paper were compared with the classical test results from the literature to verify the validity of the model. The results show that the proposed stochastic damage model is able to consider both the effects of the saturation and the damage behavior of wet concrete under compression, which is beneficial to the structural design and maintenance protection of village buildings in areas with abundant precipitation. Full article
(This article belongs to the Special Issue Durability and Intelligent Evaluation of Concrete Structures)
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