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Advances in Solid Mechanics and Its Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 10 March 2025 | Viewed by 445

Special Issue Editors


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Guest Editor
1. Department of Mechanical Engineering, Faculty of Technology, University of Brasília, Campus Darcy Ribeiro, Brasília 70910-900, Brazil
2. INEGI – Institute of Science and Innovation in Mechanical and Industrial Engineering, University of Porto, Campus da FEUP, 4200-465 Porto, Portugal
Interests: mechanical behavior of materials; mechanics of materials; finite element analysis; solid mechanics; finite element modeling; mechanical properties; mechanical testing

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Guest Editor
Department of Mechanical Engineering, University of Brasilia, Brasilia 70910-900, Brazil
Interests: fatigue; fracture; mechanics of materials; durability

Special Issue Information

Dear Colleagues,

One of the main challenges in solid mechanics is to describe the mechanical behavior of materials, whether under static/quasi-static or dynamic conditions. Major industries, such as aerospace, aviation, naval, automotive, and oil and gas extraction, among others, apply the concepts developed in this field of mechanics to design and operate machines, structures, and components. Thus, this “Special Issue” aims to showcase the advances achieved in the study of ductile fracture, material fatigue, fracture mechanics, the characterization of materials from additive manufacturing, the use of AI for manufacturing process optimization, wear and balance of cutting tools, the application of the finite element method to solve nonlinear problems in solid mechanics, and mechanical vibrations.

Prof. Dr. Lucival Malcher
Prof. Dr. Fábio Comes Castro
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. 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

  • characterization of materials
  • fatigue of materials
  • additive manufacturing
  • AI in solid mechanics
  • wear
  • numerical methods

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Published Papers (1 paper)

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Research

24 pages, 4984 KiB  
Article
Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm
by Yuantian Qin, Zhehang Yin and Jiahao Ma
Appl. Sci. 2024, 14(22), 10454; https://doi.org/10.3390/app142210454 - 13 Nov 2024
Viewed by 334
Abstract
In order to solve the problem of structural damage location and degree identification, the weighted mean of vectors algorithm (INFO), a high-performance optimization algorithm, was first introduced to identify structural damage. By comparison with the refined genetic algorithm (RGA), the accuracy and advantages [...] Read more.
In order to solve the problem of structural damage location and degree identification, the weighted mean of vectors algorithm (INFO), a high-performance optimization algorithm, was first introduced to identify structural damage. By comparison with the refined genetic algorithm (RGA), the accuracy and advantages of INFO are analyzed and evaluated. An objective function is constructed by combining the dynamic response transfer ratio without modal analysis. The INFO and RGA algorithms are used to optimize the objective function for damage identification. The simulation results verify the effectiveness of the three damage identification methods. The results show that the identification effect of the INFO algorithm can reach nearly 100% without noise influence, and the anti-noise ability is the strongest. Among the three algorithms, the damage identification accuracy of the INFO algorithm is the highest, followed by the RGA algorithm and the GA algorithm. Full article
(This article belongs to the Special Issue Advances in Solid Mechanics and Its Applications)
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