Structural Design, Health Monitoring and Performance Evaluation of Composite Materials

A special issue of Journal of Composites Science (ISSN 2504-477X). This special issue belongs to the section "Composites Modelling and Characterization".

Deadline for manuscript submissions: 1 October 2026 | Viewed by 1497

Special Issue Editors

Zhengzhou Research Institute, Harbin Institute of Technology, Zhengzhou 450000, China
Interests: composite materials; non-destructive testing techniques; structural health monitoring and performance evaluation; nonlinear modeling; signal processing; artificial intelligence
School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
Interests: composite materials; multi-physics coupled process analysis; multi-scale mechanical analysis; structural process optimization design; finite element

Special Issue Information

Dear Colleagues,

Composite material, as a typical lightweight structure material, has been widely applied in various engineering applications, including aerospace, automobile, marine, civil engineering, medicine, etc., due to its flexible design, high specific strength, wear resistance, and corrosion resistance. However, following long-term service and external mechanical and thermal loading, composite material structures are prone to various types of damage, such as matrix crack, delamination, debonding, and fiber breakage. Such damages will inevitably cause the performance degradation of composite structure, and even lead to serious failure, presenting a significant challenge for the safe operation and reliable service of the equipment.

This Special Issue mainly focuses on various investigations into the structural design, health monitoring and performance evaluation of composite materials. Research areas may include (but are not limited to) composite structure optimization design, structural performance nonlinear modeling, advanced health monitoring methods, damage identification and imaging technique, and performance evaluation and reverse engineering, as well as data-driven performance prediction. The original research articles and reviews are welcome.

We look forward to receiving your contributions.

Dr. Yafei Xu
Dr. Xinyu Hui
Guest Editors

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Keywords

  • composite material
  • structural design
  • finite element simulation
  • health monitoring technique
  • damage identification
  • performance evaluation
  • data-driven

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Published Papers (2 papers)

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Research

23 pages, 3276 KB  
Article
The Effect of Calcium Stearate Additives in Concrete on Mass Transfer When Exposed to Aspergillus niger Fungi
by Viktoriya S. Konovalova, Konstantin B. Strokin, Aleksey A. Galtsev and Denis G. Novikov
J. Compos. Sci. 2025, 9(10), 569; https://doi.org/10.3390/jcs9100569 - 15 Oct 2025
Viewed by 745
Abstract
Understanding and predicting the damage to concrete caused by microorganisms in aquatic environments is challenging, highlighting the need for effective, simple, and inexpensive preventative methods. This paper presents the results of a study on the effect of calcium stearate addition on the kinetics [...] Read more.
Understanding and predicting the damage to concrete caused by microorganisms in aquatic environments is challenging, highlighting the need for effective, simple, and inexpensive preventative methods. This paper presents the results of a study on the effect of calcium stearate addition on the kinetics of mass transfer processes occurring in cement stone exposed to Aspergillus niger fungi under humid conditions. Calcium stearate was added into the cement mix during sample preparation at concentrations of 0.5% and 1% by cement weight. After curing, the cement stone surfaces were inoculated with Aspergillus niger. To investigate mass transfer processes during biodegradation, the samples were immersed in water. Calcium leaching from the cement stone was quantified using complexometric titration of the water, while the calcium content within the cement stone was determined by derivatographic analysis. The quantitative indicators of calcium leaching in water from cement stone with calcium stearate additives were 2.5 times lower. The profiles of calcium concentrations in the thickness of cement samples demonstrated an increase in the intensity of mass transfer under the influence of fungi and a significant decrease in the processes in hydrophobic cement stone. The values of the mass conductivity coefficients for fungal-infected samples in water differed by two orders of magnitude from 10−9 and 10−11 [m2/s] for conventional and hydrophobic concrete. The mass transfer parameters (flow density, mass conductivity coefficients, and mass transfer coefficients) revealed a 3-fold slowdown in mass transfer processes during fungal exposure in cement stone with a hydrophobic additive compared with control samples. A mathematical model of concrete biocorrosion was used to predict the durability of concrete under humid conditions with fungal exposure. The predicted maintenance-free service life of concrete without additives is 15 years, whereas for hydrophobic concrete, it is 25 to 30 years. The research results are used in the design of concrete structures in conditions of high humidity, in the development of new compositions of hydrophobic concretes, to predict the service life of concrete structures, and in the creation of methods for preventing biological damage to concrete structures. Full article
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15 pages, 3784 KB  
Article
Accurate Thickness Characterization of Glass Fiber-Reinforced Composites Using Terahertz Dispersion Compensation Method Based on Sparse Representation
by Yafei Xu, Peihan Li, Xiyuan Peng and Hua Zhang
J. Compos. Sci. 2025, 9(9), 511; https://doi.org/10.3390/jcs9090511 - 22 Sep 2025
Viewed by 554
Abstract
Terahertz (THz) technology, a new nondestructive testing (NDT) approach with frequencies generally ranging from 100 GHz to 10 THz, has been widely used by virtue of its excellent penetration and high spatial–temporal resolution for non-metallic materials. However, in the process of characterizing the [...] Read more.
Terahertz (THz) technology, a new nondestructive testing (NDT) approach with frequencies generally ranging from 100 GHz to 10 THz, has been widely used by virtue of its excellent penetration and high spatial–temporal resolution for non-metallic materials. However, in the process of characterizing the thickness of glass fiber-reinforced composite (GFRP) laminate along the THz propagation direction, the dispersion effect of the material will severely affect the accuracy of thickness measurement. In this work, in order to reduce the influence of the dispersion effect and improve thickness estimation accuracy, a THz dispersion compensation method based on sparse representation is proposed to accurately estimate the sparse impulse vector from the dispersive THz signal, with thickness measurement accomplished by the dispersion compensation process. Finally, a series of numerical simulations and experiments were implemented to verify the effectiveness of the proposed THz dispersion compensation method in thickness measurement. It is worth noting that the minimum estimated error in thickness is only 0.11%. Full article
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