Computational Approaches for Materials Engineering and Applications

A special issue of Computation (ISSN 2079-3197).

Deadline for manuscript submissions: closed (1 May 2024) | Viewed by 520

Special Issue Editors


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Guest Editor
Department of Civil and Industrial Engineering, University of Pisa, Largo Lucio Lazzarino 2, 56126 Pisa, Italy
Interests: (bio)materials science and technology; multiscale modeling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 1, 56122 Pisa, Italy
Interests: multiaxial fatigue; residual stress; fatigue and fracture analysis; finite element analysis; additive manufacturing; welding

Special Issue Information

Dear Colleagues,

Advancements in computational technologies have opened new research avenues for designing, testing, and employing materials in many engineering fields. Within this framework, artificial intelligence approaches have played a key role, allowing the estimation of structural properties and the prediction of the structural behavior of materials in relation to specific engineering applications.

This Special Issue is devoted to presenting recent developments and bringing a new understanding to the modeling approaches for (bio)materials in relation to their physico-chemical–mechanical properties in engineering applications.

Papers may report on original research and methodological aspects, review the current state of the art, or offer perspectives on future prospects.

Specific computational approaches and fields of material applications for this Special Issue include, but are not limited to:

  • Unconventional design approaches including, but not limited to, the application of artificial intelligence techniques.
  • Multiscale modeling (from the atomistic to the macroscale (finite-element modeling)).
  • Physico-chemical characterization.
  • Mechanical characterization (e.g., fatigue, creep, and fracture).
  • Fluid–structure interaction.
  • Tribological analysis of structural interfaces.
  • (Nano)composites.
  • (Bio)materials.
  • Bioinspired and biomimetic materials.
  • Bioinformatics, biocomputing, and computational system biology.
  • Computational optimization techniques.
  • Performance-based design.

Dr. Mario Milazzo
Dr. Andrea Chiocca
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. Computation 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

  • mechanical behavior
  • artificial intelligence
  • structural optimization
  • interfaces
  • coatings
  • contact analysis
  • fluid–structure interaction
  • multiscale modeling

Published Papers (1 paper)

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Research

18 pages, 5507 KiB  
Article
Fractional Boundary Element Solution for Nonlinear Nonlocal Thermoelastic Problems of Anisotropic Fibrous Polymer Nanomaterials
by Mohamed Abdelsabour Fahmy and Moncef Toujani
Computation 2024, 12(6), 117; https://doi.org/10.3390/computation12060117 - 8 Jun 2024
Viewed by 283
Abstract
This paper provides a new fractional boundary element method (BEM) solution for nonlinear nonlocal thermoelastic problems with anisotropic fibrous polymer nanoparticles. This comprehensive BEM solution comprises two solutions: the anisotropic fibrous polymer nanoparticles problem solution and the nonlinear nonlocal thermoelasticity problem. The nonlinear [...] Read more.
This paper provides a new fractional boundary element method (BEM) solution for nonlinear nonlocal thermoelastic problems with anisotropic fibrous polymer nanoparticles. This comprehensive BEM solution comprises two solutions: the anisotropic fibrous polymer nanoparticles problem solution and the nonlinear nonlocal thermoelasticity problem. The nonlinear nonlocal thermoelasticity problem solution separates the displacement field into complimentary and specific components. The overall displacement is obtained using the boundary element methodology, which solves a Navier-type problem, and the specific displacement is derived using the local radial point interpolation method (LRPIM). The new modified shift-splitting (NMSS) technique, which minimizes memory and processing time requirements, was utilized to solve BEM-created linear systems. The performance of NMSS was evaluated. The numerical results show how fractional and graded parameters influence the thermal stresses of nonlinear nonlocal thermoelastic issues involving anisotropic fibrous polymer nanoparticles. The numerical findings further reveal that the BEM results correlate very well with the finite element method (FEM) and analytical results, demonstrating the validity and correctness of the proposed methodology. Full article
(This article belongs to the Special Issue Computational Approaches for Materials Engineering and Applications)
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