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Advances in Fatigue Analysis and Numerical Simulation in Engineering Materials

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

Deadline for manuscript submissions: 31 October 2024 | Viewed by 141

Special Issue Editors


E-Mail Website
Guest Editor
Chair of Materials Test Engineering (WPT), TU Dortmund University, 44227 Dortmund, Germany
Interests: materials science and engineering; high-resolution microstructure and defect analysis; fatigue behavior with temperature and corrosion superposition; metrological material condition monitoring; fracture mechanics evaluation of damage tolerances; process-structure-property-damage interactions; mechanism-based material modeling and simulation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Chair of Materials Test Engineering (WPT), TU Dortmund University, 44227 Dortmund, Germany
Interests: artificial intelligence/machine learning; quantum mechanics/molecular dynamics; additive manufacturing (Ti, Al, and steels); numerical and statistical modeling; cyclic plasticity and fracture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over a century ago, research concerning the fatigue of engineered materials was initiated. However, the fatigue evaluation was reimagined with the advent of new engineering materials, testing protocols, and computer methodologies. Understanding damage mechanisms at the submicro scale was made feasible by the combination of state-of-the-art sensor technology and real-time images of fatigue damage. The incorporation of computational approaches to fatigue study procedures, which are continually improved by ever-increasing computer capacity, yields further insights into designs against fatigue. Complicated fatigue-related structure–property interactions that are computationally expensive when utilizing physics-based modeling alone were accomplished using data-driven algorithms. Even after extensive study, the fatigue community is now even more in need of multidisciplinary approaches to fatigue analysis. We cordially encourage distinguished and pioneering fatigue investigators to partake in this endeavor to elevate the present developments in fatigue damage and fracture modeling within the purview delineated below.

Prof. Dr. Frank Walther
Dr. Mustafa Awd
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

  • fatigue
  • damage
  • sensor technology
  • microscale damage
  • computational methods
  • data-driven algorithms
  • structure–property interactions
  • effective mechanisms
  • physics-based modeling.

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