Feature Papers of Computational Modelling and Simulation for Fatigue and Fracture of Engineering Materials and Structures

A special issue of Modelling (ISSN 2673-3951).

Deadline for manuscript submissions: 30 November 2024 | Viewed by 907

Special Issue Editors

Department of Mechanical Aerospace and Biomedical Engineering, University of Tennessee Space Institute, Tullahoma, TN 37388, USA
Interests: spacetime discontinuous Galerkin; computational mechanics; fracture mechanics; computational electromagnetics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As Editorial Board Members of Modelling, we are pleased to announce a Special Issue entitled "Feature Papers of Computational Modelling and Simulation for Fatigue and Fracture of Engineering Materials and Structures". This Special Issue will be a collection of high-quality papers from Editorial Board Members and leading researchers invited by the Editorial Office. Both original research articles and comprehensive review papers are welcome.

Fatigue and fracture are critical factors that affect the safety and reliability of engineering structures and mechanical systems. Computational modelling and simulation have become essential tools in understanding and predicting the behaviour of materials and structures under fatigue and fracture conditions. New computational approaches are being developed to enable the more accurate and efficient modelling of fatigue and fracture. Also, the development of new materials and applications demands reliable simulation tools.    

This Special Issue aims to collect reference papers on, but not limited to, the following topics of interest:

  • Advanced computational methods for fatigue and fracture analysis (e.g., phase-field techniques; peridynamics; meshless; crystal plasticity);
  • Multi-scale modelling and simulation of fatigue and fracture;
  • Damage mechanics and failure analysis of engineering materials and structures;
  • Probabilistic modelling and reliability analysis of fatigue and fracture;
  • Experimental validation of computational models and simulations;
  • Applications of computational modelling and simulation in the design and optimization of engineering structures;
  • Modelling of fatigue crack initiation and propagation and multiaxial fatigue;
  • Modelling of advanced materials;
  • Modelling of corrosion-assisted fatigue and fracture (e.g., H2 embrittlement);
  • Surrogate modelling (e.g., data-driven models, ANNs).

Submissions should be original and not have been published or submitted elsewhere. All papers will be peer-reviewed by at least two experts in the field, and accepted papers will be published in the Special Issue of the journal.

Dr. Abílio M. P. De Jesus
Dr. Reza Abedi
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. Modelling is an international peer-reviewed open access quarterly 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 1000 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

  • dynamic fracture
  • brittle fracture
  • multiscale modeling
  • fatigue crack propagation
  • environmental fatigue and fracture
  • phase-field modelling

Published Papers (1 paper)

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Research

14 pages, 2524 KiB  
Article
Numerical Analysis of Crack Propagation in an Aluminum Alloy under Random Load Spectra
by Fangli Wang, Jie Zheng, Kai Liu, Mingbo Tong and Jinyu Zhou
Modelling 2024, 5(2), 424-437; https://doi.org/10.3390/modelling5020023 - 4 Apr 2024
Viewed by 494
Abstract
This study develops a rapid algorithm coupled with the finite element method to predict the fatigue crack propagation process and select the enhancement factor for the equivalent random load spectrum of accelerated fatigue tests. The proposed algorithm is validated by several fatigue tests [...] Read more.
This study develops a rapid algorithm coupled with the finite element method to predict the fatigue crack propagation process and select the enhancement factor for the equivalent random load spectrum of accelerated fatigue tests. The proposed algorithm is validated by several fatigue tests of an aluminum alloy under the accelerated random load spectra. In the validation process, two kinds of panels with different geometries and sizes are used to calculate the stress intensity factor, critical crack length, and crack propagation life. The simulated and experimental findings indicate that when the aluminum alloy is in a low plasticity state, the crack propagation life exhibits a linear relationship with the acceleration factor. When the aluminum alloy is in a high plasticity state, this study proposes an empirical formula to calculate the equivalent stress intensity factor and crack propagation life. The normalized empirical formula is independent of the geometry and size of different samples, although the fracture processes are different in the two kinds of panels used in our study. Overall, the numerical method proposed in this paper can be applied to predict the fatigue crack propagation life for the random spectrum of large samples based on the results of the simulated accelerated crack propagation process and the accelerated fatigue tests of small samples to reduce the cost and time of the testing. Full article
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