You are currently viewing a new version of our website. To view the old version click .

Numerical Modeling and Mechanical Properties Analysis for Metallic and Composite Materials and Structures: 2nd Edition

This special issue belongs to the section “Materials Science and Engineering“.

Special Issue Information

Dear Colleagues,

Predicting how structures will behave when submitted to different load types is a constant need in the wide area of structural engineering. Achieving these answers may involve a heavy workload because of structures’, components’, or systems' intrinsic functional complexities, increasing material sophistication, and the potential engineering work behind them.

To deal with these briefly summarised challenges, it is crucial to develop numerical models that are adequate for the scale of the problem and the level of detail required. Empowering these models with detailed material characterisation is also essential for optimised structural performance.

This is the framework of this Special Issue in Applied Sciences, which adopts a wide-scope approach to advanced composite and/or metallic materials, including, for example, the performance characterisation of functionally graded materials and structures, auxetic materials, and sandwich structures, while not excluding other relevant possibilities.

If your work fits this scope, we strongly encourage you to submit your manuscript.

We look forward to receiving insightful contributions.

Dr. Maria Amélia Ramos Loja
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences 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 2400 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 structures
  • metallic structures
  • hybrid material structures
  • numerical modelling
  • properties estimation
  • homogeneization techniques
  • performance of materials and structures
  • parametric analyses

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Appl. Sci. - ISSN 2076-3417