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High-Performance Concrete: Synergies Between Material Innovation and Structural Health Monitoring

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

Deadline for manuscript submissions: 20 November 2025 | Viewed by 418

Special Issue Editors


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Guest Editor
College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Interests: high-performance concrete; nanomaterials in concrete; sustainable construction materials
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Guest Editor
State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan 430070, China
Interests: high-performance concrete; sustainable construction materials; concrete admixture
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Guest Editor Assistant
College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Interests: nanomaterials in concrete; sustainable construction materials; carbonization of cement-based materials; microscopic characterization

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Guest Editor Assistant
College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Interests: structural health monitoring; deep learning; computer vision; damage detection; structural condition assessment

E-Mail Website
Guest Editor Assistant
College of Civil Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Interests: nanomaterials in concrete; high-performance concrete; machine learning applications; molecular dynamic simulation

Special Issue Information

Dear Colleagues,

High-performance concrete (HPC) is an advanced type of concrete distinguished by its superior mechanical properties, enhanced durability, and improved sustainability compared to its conventional form. With the increasing demands of HPC applied in modern infrastructure, this Special Issue explores the performance of HPC in terms of synergies between material innovation and structural health monitoring, aiming to address critical challenges in optimizing HPC’s mechanical properties, durability, and environmental sustainability while advancing real-time performance assessment and predictive maintenance frameworks. Overall, this Special Issue seeks to combine the benefits between new material design and advanced structural health monitoring technology, thereby fostering the development of resilient and intelligent concrete infrastructures.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: nanomaterials, engineered cementitious composites, AI-driven property prediction models, and integrated sensor networks for damage detection.

We look forward to receiving your contributions.

Prof. Dr. Tao Shi
Prof. Dr. Hongbo Tan
Guest Editors

Dr. Yufeng Song
Dr. Tao Jin
Dr. Yubing Ouyang
Guest Editor Assistants

Manuscript Submission Information

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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.

Keywords

  • high-performance concrete
  • fiber reinforcement
  • ultra-high-performance concrete (UHPC)
  • sustainable construction materials
  • engineered cementitious composites (ECCs)
  • nanomaterials in concrete
  • structural health monitoring
  • non-destructive testing
  • smart sensors
  • machine learning applications

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Published Papers (1 paper)

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Research

24 pages, 5729 KiB  
Article
Prediction of Elastic Modulus of Leached Fly Ash Concrete Based on Non-Uniform ITZ Model
by Xiaoping Zhao, Misha Zhan, Zhiwei Chen, Jian Zhang, Qiang Li and Wenbing Song
Materials 2025, 18(16), 3779; https://doi.org/10.3390/ma18163779 - 12 Aug 2025
Viewed by 196
Abstract
The incorporation of fly ash into concrete reduces cement consumption by 10–30%, lowers CO2 emissions by 30–50%, cuts costs by 15–25%, and enhances durability, thus reducing maintenance expenses. However, the predictive model for the elastic modulus of fly ash concrete subjected to [...] Read more.
The incorporation of fly ash into concrete reduces cement consumption by 10–30%, lowers CO2 emissions by 30–50%, cuts costs by 15–25%, and enhances durability, thus reducing maintenance expenses. However, the predictive model for the elastic modulus of fly ash concrete subjected to calcium leaching is still lacking. Regarding the theoretical method, the content of calcium hydroxide and calcium silicate hydrate in fly ash–cement systems is quantitatively calculated according to the hydration reaction relationship between cement, fly ash, and water, and then the porosity of the fly ash–cement matrix and interface transition zone (ITZ) after calcium leaching can be obtained. Based on the theory of two-phase composite spheres and the non-uniform ITZ model, the prediction method for the elastic modulus of leached fly ash concrete can be constructed, which comprehensively considers key parameters such as fly ash content, non-uniform characteristics of the ITZ, and the water–binder ratio (w/b). Additionally, the corresponding experimental investigation is also designed to study the variation regulation of the leaching depth, leaching extent, and elastic modulus of fly ash concrete with leaching time. The prediction method for the elastic modulus of leached fly ash concrete is validated via self-designed experimental methods and third-party experiments. This study further delves into the specific effects of w/b, aggregate volume fraction (fa), fly ash content, and ITZ thickness (hITZ) on the elastic modulus of leached concrete (E). The research findings indicate that an appropriate amount of fly ash can effectively enhance the leaching resistance of concrete. For a leaching degree of 10.0%, 30.0%, and 50.0%, E at w/b = 0.40 exceeds that of w/b = 0.60 by 26.71%, 28.43%, and 30.28%, respectively; E at hITZ = 10 μm exceeds that of hITZ = 50 μm by 16.96%, 15.80%, and 15.11%, respectively; and E at fa = 65% is 39.82%, 43.15%, and 46.12% higher, respectively, than that of concrete with fa = 45%. Furthermore, a linear correlation exists between the elastic modulus and the degree of leaching. The prediction method for the elastic modulus offers a theoretical foundation for in-depth exploration of the durability of leached mineral admixture concrete and its scientific application in practical engineering. Full article
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