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Repair and Strengthening of Existing Reinforced Concrete Structures (Second Volume)

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

Deadline for manuscript submissions: 20 June 2024 | Viewed by 734

Special Issue Editor

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Guest Editor
School of Architecture, Technology and Engineering, University of Brighton, Brighton BN2 4GJ, UK
Interests: strengthening of existing structures; structural resilience; earthquake engineering; cement-free concrete; ultra high performance fibre reinforced concrete
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent devastating earthquakes have highlighted the urgent need for the structural upgrade of existing Reinforced Concrete (RC) structures that are prone to structural failures and collapses.

At the same time, the need for immediate actions to mitigate the dramatic consequences of the climate emergency is a key priority, and novel cost-effective solutions are required for the enhancement of energy efficiency and the thermal insulation of existing structures using sustainable resources.

This second volume of the Special Issue “Repair and Strengthening of Existing Reinforced Concrete Structures” is focused on the development of novel repair and strengthening techniques using sustainable materials for the enhancement of structural performance and energy efficiency.

Authors are welcome to submit original contributions in the following areas:

  • Low-cost repair and strengthening techniques.
  • The development of novel repair and strengthening techniques using sustainable materials.
  • Enhancing the structural performance, resilience, and longevity of existing RC structures.
  • Structural and energy upgrade of existing RC structures.
  • Multi-hazard protection of existing RC structures.

Dr. Andreas Lampropoulos
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at 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. Materials 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 2600 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.


  • repair and strengthening
  • reinforced concrete structures
  • structural strengthening
  • sustainability
  • energy upgrade
  • multi-hazard protection

Related Special Issue

Published Papers (1 paper)

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15 pages, 4963 KiB  
Interpretable Machine Learning-Based Prediction Model for Concrete Cover Separation of FRP-Strengthened RC Beams
by Sheng Zheng, Tianyu Hu and Yong Yu
Materials 2024, 17(9), 1957; - 23 Apr 2024
Viewed by 412
This study focuses on the prediction of concrete cover separation (CCS) in reinforced concrete beams strengthened by fiber-reinforced polymer (FRP) in flexure. First, machine learning models were constructed based on linear regression, support vector regression, BP neural networks, decision trees, random forests, and [...] Read more.
This study focuses on the prediction of concrete cover separation (CCS) in reinforced concrete beams strengthened by fiber-reinforced polymer (FRP) in flexure. First, machine learning models were constructed based on linear regression, support vector regression, BP neural networks, decision trees, random forests, and XGBoost algorithms. Secondly, the most suitable model for predicting CCS was identified based on the evaluation metrics and compared with the codes and the researcher’s model. Finally, a parametric study based on SHapley Additive exPlanations (SHAP) was carried out, and the following conclusions were obtained: XGBoost is best-suited for the prediction of CCS and codes, and researchers’ model accuracy needs to be improved and suffers from over or conservative estimation. The contributions of the concrete to the shear force and the yield strength of the reinforcement are the most important parameters for the CCS, where the shear force at the onset of CCS is approximately proportional to the contribution of the concrete to the shear force and approximately inversely proportional to the yield strength of the reinforcement. Full article
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Comparison between design methods for seismic retrofit interventions of school buildings using dissipative bracing systems
Authors: P. Colajanni , M. Ahmed, J. D’Anna
Affiliation: Department of Engineering, University of Palermo
Abstract: The use of braces equipped with dissipative devices for the seismic adaptation of school buildings is among the most widespread methods as it allows to obtain high reductions in seismic vulnerability with inexpensive, quickly executed interventions, which can often be carried out mainly by the exterior, resulting in interruptions of use limited both in time and to only small portions of the building. The design methods of dissipative devices are based on the extensive use of pushover analyzes capable of highlighting the structural deficiencies of the building and comparing the performances achievable by developing projects according to different methods and sizing criteria. In the present work, with reference to a case study for which the vulnerability of the existing structure is evaluated through the characterization of the mechanical properties of the materials, the geometric dimensions of the structural elements and the reinforcements derived from experimental investigations, the performances obtained by applying two different sizing criteria: one aimed at sizing the braces so as not to alter the deformation modes of the system, and a second aimed at having a uniform distribution of damage in the structural elements. The results obtained allow us to obtain indications on the design criteria of general validity

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