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Numerical Analysis of Sandwich and Laminated Composites

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Composites".

Deadline for manuscript submissions: 20 October 2025 | Viewed by 720

Special Issue Editors


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Guest Editor
College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
Interests: composites materials; structural dynamics; digital modelling of structural dynamics; digital twins for structures; advanced computational dynamics; advanced numerical modeling
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Guest Editor
Institute of Systems Engineering, China Academy of Engineering Physics, Mianyang 621999, China
Interests: vibration analysis; dynamic analysis; laminated structures; numerical modeling of composite structures; acoustic analysis
School of Civil Engineering, Central South University, Changsha 410083, China
Interests: advanced structural dynamics; deep learning modelling of structural dynamics; dynamic control; mechanics of composites; deep reinforcement learning

Special Issue Information

Dear Colleagues,

Sandwich and laminated composite materials have wide applications in engineering fields such as aerospace, automotive, construction, navigation, and more. For example, in the aerospace field, sandwich and laminated composite materials can be used to manufacture lightweight, high-strength components, improving the performance and fuel efficiency of aircrafts.

The performance of sandwich and laminated composite materials is influenced by various factors, including material selection, layering method, thickness, modulus, etc. These factors make it very complex to establish precise physical and mathematical models. In addition, the sandwich structure also involves the interaction between the surface plate and the sandwich, as well as possible damage and aging effects. In recent years, machine learning and artificial intelligence technologies have also been applied in the modeling and analysis of composite materials. These technologies can learn complex behavioral patterns of materials from large amounts of data and be used to predict material properties and failure modes. Machine learning models can handle nonlinear problems and provide fast and accurate prediction results.

These advanced modeling and analysis methods provide powerful tools for the study of sandwich and laminated composite materials, helping to improve material design efficiency and performance, and promoting the widespread application of composite materials in the engineering field. This Special Issue aims to gather ongoing research on numerical analysis of sandwich and laminated composite materials and solicits contributions from researchers dedicated to advanced composite material models and their experimental validation.

Prof. Dr. Qingshan Wang
Dr. Xianjie Shi
Dr. Tao Liu
Guest Editors

Manuscript Submission Information

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Keywords

  • composite materials
  • numerical analysis
  • sandwich structures
  • structural optimization
  • damage mechanics
  • multiscale modeling
  • multi-physics field simulation
  • high-performance computing

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Published Papers (1 paper)

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Research

18 pages, 3194 KiB  
Article
Ritz Solution of Vibration Analysis of Functionally Graded Porous Elliptic Shells and Panels Under Various Arbitrary Boundary Types
by Qingtao Gong, Tao Liu, Yao Teng, Binjie Ma and Xin Li
Materials 2025, 18(5), 1101; https://doi.org/10.3390/ma18051101 - 28 Feb 2025
Viewed by 354
Abstract
This paper seeks to establish a generalized numerical model to examine the free vibration behavior of functionally graded porous (FGP) elliptical shells and panels with various boundary types. The model is built on first-order shear deformation theory (FSDT) to express structural displacements. A [...] Read more.
This paper seeks to establish a generalized numerical model to examine the free vibration behavior of functionally graded porous (FGP) elliptical shells and panels with various boundary types. The model is built on first-order shear deformation theory (FSDT) to express structural displacements. A segmentation technique is used to maintain continuity between shell elements, and virtual spring boundary techniques are employed to simulate arbitrary boundaries. Variable-coefficient Jacobi polynomials are introduced as admissible functions for displacement. Finally, the Ritz variational method, combined with the least-squares weighted residual method (LSWRM), is used for constructing the energy functional and solving the energy equations. Validation of the numerical model against finite element and literature results confirms its reliability and convergence properties. This study also explores the effects of geometric parameters and boundary conditions on FG elliptical shells and panels, providing a theoretical basis for future research. Full article
(This article belongs to the Special Issue Numerical Analysis of Sandwich and Laminated Composites)
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