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J. Compos. Sci.
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Editorial Board Members’ Collection Series: Modeling and Simulation of Composite...
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Editorial Board Members’ Collection Series: Modeling and Simulation 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: 31 December 2025 | Viewed by 1535

Special Issue Editors

Prof. Dr. Marcin Kamiński

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Guest Editor
Faculty of Civil Engineering, Architecture and Environmental Engineering, Lodz University of Technology, 6 Politechniki Street, 90-924 Lodz, Poland
Interests: stochastic finite element method; stochastic reliability; random composites; probabilistic entropy; wavelet analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Haifeng Zhao

E-Mail Website
Guest Editor
Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China
Interests: mechanics of advanced materials and composites; robotics and intelligent mechanical systems; planetary drilling and sampling at the moon and mars; shock, vibration and isolation; computational solid mechanics and finite element method; digital image pattern recognition and machine learning
Prof. Dr. Konstantinos Tserpes

E-Mail Website
Guest Editor
Laboratory of Technology & Strength of Materials (LTSM), Department of Mechanical Engineering & Aeronautics, University of Patras, 26504 Patras, Greece
Interests: computational and experimental strength of materials; advanced composites; nanocomposites; adhesives; nanocryctalline materials; multi-scale modeling; bio-based polymers and bio-composites; shock wave mechanics; structural health monitoring; recycling of composites; life-cycle analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Salim Belouettar

E-Mail Website
Guest Editor
Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg
Interests: composite material and structure; computational mechanics; materials by design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit your recent research in the area of effective properties of various composite materials and their numerical simulations. Submissions related to new mathematical models, algorithms, numerical methods, and, in particular, engineering applications, as well as literature reviews, are welcomed. These will be very important in understanding and further optimizing existing composites as well as developing new heterogeneous and/or multi-component materials. 

This Special Issue specifically aims to collect works related to statistical and probabilistic approaches in the determination of the effective material and physical characteristics of layered, particulate, and fibrous composites, including nano-structures. The practical problems of engineering composites and simulations seeking new solutions are welcomed, as well as applications of various statistical, probabilistic, and stochastic computer methods.

In this Special Issue, original research articles and reviews are welcomed. Research areas may include (but are not limited to) the following topics:

  • Multiscale analyses with the Finite Element Method and its extended versions;
  • Homogenization methods and their applications;
  • Multiphysics simulations and coupled problem solutions;
  • Interface problems and geometrical and material imperfections at different scales;
  • Optimization of the architecture and components’ composition;
  • Application of AI tools in composite material simulations;
  • Reliability assessment and durability predictions for composites.

We look forward to receiving your contributions.

Prof. Dr. Marcin Kamiński
Prof. Dr. Haifeng Zhao
Prof. Dr. Konstantinos Tserpes
Dr. Salim Belouettar
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. Journal of Composites Science is an international peer-reviewed open access monthly 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 1800 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

  • composite materials
  • modeling and simulation
  • finite element method (FEM)
  • isogeometric analysis (IGA)
  • structural analysis
  • reliability assessment
  • durability predictions

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (7 papers)

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Research

15 pages, 3791 KiB  
Article
Free Vibration Characteristics of Functionally Graded Material (FGM) Beams on Three-Parameter Viscoelastic Foundation
by Shuming Jia, Guojiang Yang, Yu Pu, Pengfei Ma and Kan Li
J. Compos. Sci. 2025, 9(5), 215; https://doi.org/10.3390/jcs9050215 - 28 Apr 2025
Viewed by 22
Abstract
This study numerically investigated free vibration characteristics of functionally graded material (FGM) beams on Winkler–Pasternak three-parameter elastic foundations using the modified generalized differential quadrature (MGDQ) method. To compare the effects of different beam theories on the predicted frequency responses, an nth order [...] Read more.
This study numerically investigated free vibration characteristics of functionally graded material (FGM) beams on Winkler–Pasternak three-parameter elastic foundations using the modified generalized differential quadrature (MGDQ) method. To compare the effects of different beam theories on the predicted frequency responses, an nth order generalized beam theory was employed to establish the governing equations of the system’s dynamic model within the Hamilton framework. As a pioneering effort, a MATLAB (version 2021a) computational program implementing the MGDQ method was developed to obtain the free vibration responses of foundation-supported FGM beams. Parametric analyses were conducted through numerical simulations to systematically examine the influences of various factors, including beam theories, damping coefficients, foundation stiffness parameters, boundary conditions, gradient indices, and span-to-thickness ratios, on the natural frequencies and damping ratios of FGM beams. The findings provide an essential theoretical foundation for dynamic characteristic analysis and functional design of foundation-supported FGM beam structures. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Modeling and Simulation of Composite Materials)
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20 pages, 9503 KiB  
Article
Performance Evaluation of Current Design Models in Predicting Shear Resistance of UHPC Girders
by Ahmad Tarawneh, Hadeel Amirah, Abdullah Alghossoon, Ghassan Almasabha, Ra’ed Al-Mazaidh and Eman Saleh
J. Compos. Sci. 2025, 9(5), 211; https://doi.org/10.3390/jcs9050211 - 27 Apr 2025
Viewed by 36
Abstract
This manuscript delivers a comprehensive evaluation of five different ultra-high-performance concrete (UHPC) shear resistance models: FHWA-HRT-23-077 (2023), ePCI report (2021), French Standard NF-P-18-710 (2016), Canadian Standards A23.3-04 (2004), and Modified Eurocode2/German DAfStb (2023). The models differ in accounting for the steel fiber and [...] Read more.
This manuscript delivers a comprehensive evaluation of five different ultra-high-performance concrete (UHPC) shear resistance models: FHWA-HRT-23-077 (2023), ePCI report (2021), French Standard NF-P-18-710 (2016), Canadian Standards A23.3-04 (2004), and Modified Eurocode2/German DAfStb (2023). The models differ in accounting for the steel fiber and shear reinforcement contribution and determining the angle of inclination of the diagonal compression strut. The evaluation was carried out using an experimental database of 198 UHPC specimens and focused on accuracy, conservatism, and ease of use for each considered model. The database included beams with prestressed and steel reinforcement, different shear reinforcement ratios, and a wide range of geometrical and material properties. In order to apply the FHWA method, a utilization tensile stress (ft,loc) prediction equation was developed. Generally, the FHWA method showed superior performance to the other models in terms of statistical measures and consistent prediction conservatism across variable ranges. Although the ePCI methods yielded the highest conservatism, it can be said that the ePCI, AFGC, and CSA methods showed similar behavior with different degrees of conservatism. The DAfStb method showed the lowest prediction accuracy and the greatest scatter of data. Except for the FHWA method, all methods showed a reduction in conservatism at a high transverse reinforcement ratio. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Modeling and Simulation of Composite Materials)
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25 pages, 2459 KiB  
Article
Implementation of Composite Materials for an Industrial Vehicle Component: A Design Approach
by Ivan Tomasi, Stefano Grandi and Luigi Solazzi
J. Compos. Sci. 2025, 9(4), 168; https://doi.org/10.3390/jcs9040168 - 29 Mar 2025
Viewed by 216
Abstract
The aim of this research is to define a design approach for implementing composite materials in a component of an industrial vehicle, having weight reduction as the primary goal. Through the schematisation of the problem and analytical analysis, the definition of a new [...] Read more.
The aim of this research is to define a design approach for implementing composite materials in a component of an industrial vehicle, having weight reduction as the primary goal. Through the schematisation of the problem and analytical analysis, the definition of a new geometry, a material and production process, and numerical simulations and experimental studies to test the new solution, an optimization process of the chosen geometry is proposed. After the definition of the process, an applicative example is presented, analysing a front underrun protection device in two different solutions: one made of glass-fibre-reinforced polymer and the other of carbon-fibre-reinforced polymer. An economic comparison has also been conducted between the new configurations and the traditional steel version, showing a weight reduction of approximately 55% for the carbon-fibre-reinforced polymer solution and around 18% for the glass-fibre-reinforced polymer solution. These weight reductions are achievable through a reinvestment that can be amortized in less than five years, thanks to fuel consumption savings. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Modeling and Simulation of Composite Materials)
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22 pages, 8792 KiB  
Article
A Numerical Tool for Assessing Random Vibration-Based Fatigue Damage Diagnosability in Thermoplastic Coupons
by Niki Tsivouraki, Spilios Fassois and Konstantinos Tserpes
J. Compos. Sci. 2025, 9(4), 153; https://doi.org/10.3390/jcs9040153 - 23 Mar 2025
Viewed by 171
Abstract
A numerical tool is developed to simulate the random vibration-response-only-based fatigue delamination diagnosability in thermoplastic coupons. That is the ability to both detect damage and identify its current severity, aiming to establish a virtual framework for optimizing diagnosability methods. The numerical tool employs [...] Read more.
A numerical tool is developed to simulate the random vibration-response-only-based fatigue delamination diagnosability in thermoplastic coupons. That is the ability to both detect damage and identify its current severity, aiming to establish a virtual framework for optimizing diagnosability methods. The numerical tool employs the FE method. It comprises two modules: a fatigue delamination module and a random vibration module. The first module implements a fatigue crack growth model based on the cohesive zone modeling method to predict delamination accumulation, while the second module uses an experimentally verified FE model of the delaminated coupon to predict its random vibration response. Delamination accumulation is evident in the ‘predicted’ FE-based power spectral densities. The model’s capability to diagnose delamination is demonstrated using seven different damage metrics based on simulated random vibration responses, enabling damage detection and severity assessment (increasing trend guides to distinguishing each fatigue state from its counterparts). Comparisons with their experimentally obtained counterparts are also used in the assessment. The procedure clearly suggests that the proposed numerical tool may be reliably used for virtually assessing the efficacy of random vibration-based fatigue damage diagnosability for any given structure and also to aid the user in selecting the method’s parameters for virtual diagnosability optimization. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Modeling and Simulation of Composite Materials)
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15 pages, 6722 KiB  
Article
Numerical Simulation of the Thermal Effect of Firebrand Deposition on External Composite Walls
by Mohamed Zitouni, Antonio Renato Albuquerque Bicelli, Mário Rui Tiago Arruda and Fernando Branco
J. Compos. Sci. 2025, 9(4), 151; https://doi.org/10.3390/jcs9040151 - 22 Mar 2025
Viewed by 222
Abstract
This paper presents research concerning simulating the thermal firebrand effect due to its accumulation in exterior construction wall elements by developing a 3D finite element model (FEM) via ABAQUS (2022) software to analyze the exterior walls commonly applied to the exterior of dwellings [...] Read more.
This paper presents research concerning simulating the thermal firebrand effect due to its accumulation in exterior construction wall elements by developing a 3D finite element model (FEM) via ABAQUS (2022) software to analyze the exterior walls commonly applied to the exterior of dwellings in southern Europe and South America. A non-linear thermal transient analysis is undertaken, in which the results are directly compared with a previous experimental campaign, in which firebrands are deposited on localized surfaces of construction wall specimens, and the temperature is measured in the several layers of the construction elements. The walls are composite elements, made of different layer combinations of masonry brick and wood, varying the type of thermal insulation in the internal core from cork to classical rigid rockwool and polystyrene foam (XPS). It can be summarized from the results that the FEM effectively simulates the thermal response of brick, normal wood (NW), and cross-laminated timber (CLT) walls when insulated with materials like cork or rockwool coated with mortar against firebrand accumulation. However, the lack of accounting for uncontrolled combustion leads to inconsistent results. Additionally, for walls using XPS as the insulation material, the model requires further refinement to accurately simulate the melting phenomenon and its thermal impact. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Modeling and Simulation of Composite Materials)
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18 pages, 6652 KiB  
Article
Tensile Strength Predictive Modeling of Natural-Fiber-Reinforced Recycled Aggregate Concrete Using Explainable Gradient Boosting Models
by Celal Cakiroglu, Farnaz Ahadian, Gebrail Bekdaş and Zong Woo Geem
J. Compos. Sci. 2025, 9(3), 119; https://doi.org/10.3390/jcs9030119 - 4 Mar 2025
Cited by 1 | Viewed by 528
Abstract
Natural fiber composites have gained significant attention in recent years due to their environmental benefits and unique mechanical properties. These materials combine natural fibers with polymer matrices to create sustainable alternatives to traditional synthetic composites. In addition to natural fiber reinforcement, the usage [...] Read more.
Natural fiber composites have gained significant attention in recent years due to their environmental benefits and unique mechanical properties. These materials combine natural fibers with polymer matrices to create sustainable alternatives to traditional synthetic composites. In addition to natural fiber reinforcement, the usage of recycled aggregates in concrete has been proposed as a remedy to combat the rapidly increasing amount of construction and demolition waste in recent years. However, the accurate prediction of the structural performance metrics, such as tensile strength, remains a challenge for concrete composites reinforced with natural fibers and containing recycled aggregates. This study aims to develop predictive models of natural-fiber-reinforced recycled aggregate concrete based on experimental results collected from the literature. The models have been trained on a dataset consisting of 482 data points. Each data point consists of the amounts of cement, fine and coarse aggregate, water-to-binder ratio, percentages of recycled coarse aggregate and natural fiber, and the fiber length. The output feature of the dataset is the splitting tensile strength of the concrete. Extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM) and extra trees regressor models were trained to predict the tensile strength of the specimens. For optimum performance, the hyperparameters of these models were optimized using the blended search strategy (BlendSearch) and cost-related frugal optimization (CFO). The tensile strength could be predicted with a coefficient of determination greater than 0.95 by the XGBoost model. To make the predictive models accessible, an online graphical user interface was also made available on the Streamlit platform. A feature importance analysis was carried out using the Shapley additive explanations (SHAP) approach. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Modeling and Simulation of Composite Materials)
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19 pages, 1962 KiB  
Article
A Novel Bilinear Traction-Separation Law for Fatigue Damage Accumulation of Adhesive Joints in Fiber-Reinforced Composite Material Under Step/Variable-Amplitude Loading
by Abinash Patro and Ala Tabiei
J. Compos. Sci. 2025, 9(3), 112; https://doi.org/10.3390/jcs9030112 - 27 Feb 2025
Viewed by 291
Abstract
Adhesive joints in real-world conditions often experience variable or step loading rather than constant-amplitude fatigue. This study addresses this gap by examining the influence of load sequence and block loading on fatigue damage in adhesive joints of fiber-reinforced polymer (FRP) composites. A novel [...] Read more.
Adhesive joints in real-world conditions often experience variable or step loading rather than constant-amplitude fatigue. This study addresses this gap by examining the influence of load sequence and block loading on fatigue damage in adhesive joints of fiber-reinforced polymer (FRP) composites. A novel bilinear traction-separation law based on the Fatigue Crack Growth Rate (FCGR) rule is introduced to predict fatigue failure under step/variable loads, accounting for load history, sequence, and interaction effects. This model was validated using a double-lap joint model under step/variable loading across four experimental scenarios. The proposed model outperformed existing fatigue damage-accumulation models, significantly reducing the Relative Error of Prediction (REP). Notably, the proposed model significantly reduced the Relative Error of Prediction (REP), achieving reductions from 81.10% to as low as 0.013% in certain cases. The proposed bilinear law exhibited an accelerated damage accumulation rate per cycle for low-to-high loading situations and a decelerated rate for high-to-low loading scenarios, aligning more closely with experimental observations. The proposed model offers practical benefits by improving fatigue life predictions, enabling optimized FRP composite designs, and minimizing overengineering. These advancements are particularly relevant in industries such as aerospace, automotive, and wind energy, where structural durability and safety are paramount. This research represents a significant step forward in the fatigue analysis of composite adhesive joints, paving the way for more reliable engineering solutions. Full article
(This article belongs to the Special Issue Editorial Board Members’ Collection Series: Modeling and Simulation of Composite Materials)
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