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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 April 2025 | Viewed by 190

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

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. 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.

Keywords

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

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