Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Metals
Special Issues
Fatigue and Fracture Behavior of Metallic Components and Structures Under...
Due to scheduled maintenance work on our servers, there may be short service disruptions on this website between 11:00 and 12:00 CEST on March 28th.
share announcement

Fatigue and Fracture Behavior of Metallic Components and Structures Under Various Loading Conditions

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Structural Integrity of Metals".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 2119

Special Issue Editors

Prof. Dr. Denis Benasciutti

E-Mail Website
Guest Editor
Polytechnic Department of Engineering and Architecture (DPIA), University of Udine, via delle Scienze 206, 33100 Udine, Italy
Interests: structural integrity; vibration fatigue; multiaxial fatigue; additive manufacturing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Adam Niesłony

E-Mail Website
Guest Editor
Department of Mechanics and Machine Design, Opole University of Technology, Prószkowska 76 Street, 45-758 Opole, Poland
Interests: material fatigue; fatigue testing; multiaxial fatigue; strength of materials; FEM
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metals and alloys continue to be fundamental in the design and construction of load-bearing structures and mechanical components, with ferrous and non-ferrous alloys serving a wide range of applications across industrial fields (e.g., automotive, aerospace, marine, construction, manufacturing), and shaped by both traditional and advanced manufacturing methods (e.g., additive manufacturing).

Metallic structures and components can experience various types of fatigue loading, including constant amplitude, variable amplitude, and random loadings encountered during service.

The evaluation of the fatigue and fracture behavior of components can be addressed by theoretical and numerical methods—often validated by experimental data—that prove to be the most suitable for the specific loading condition. The objective may range from basic material characterization to the development of a broader framework for structural integrity assessment. For instance, theoretical methods can be seamlessly integrated into a finite element model and later validated using laboratory test data from small-to-medium-scale specimens or large structural components.

This Special Issue aims to gather contributions that provide an updated perspective on fatigue and fracture behavior, and on the structural integrity of metallic components subjected to various loading conditions. Theoretical, numerical, and experimental studies—as well as engineering case studies and practical applications—are welcome.

Prof. Dr. Denis Benasciutti
Prof. Dr. Adam Niesłony
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 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. Metals 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 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
  • fracture
  • structural integrity
  • constant amplitude loading
  • variable amplitude loading
  • vibration fatigue
  • additive manufacturing

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.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

13 pages, 1289 KB  
Article
Machine Learning-Based Prediction of High Cycle Fatigue and Fatigue Crack Growth Rate in LPBF Co-Cr-Mo Alloys Under Varying Scanning Strategies
by Vinod Kumar Jat, Roshan Udaram Patil, Manish Kumar and Denis Benasciutti
Metals 2026, 16(3), 249; https://doi.org/10.3390/met16030249 - 25 Feb 2026
Viewed by 310
Abstract
This study explores the use of machine learning to predict high-cycle fatigue (HCF) behavior and fatigue crack growth rate (FCGR) in Co-Cr-Mo alloys manufactured through laser powder bed fusion. Two machine learning (ML) models: extreme gradient boosting (XGB) and deep neural networks (DNN), [...] Read more.
This study explores the use of machine learning to predict high-cycle fatigue (HCF) behavior and fatigue crack growth rate (FCGR) in Co-Cr-Mo alloys manufactured through laser powder bed fusion. Two machine learning (ML) models: extreme gradient boosting (XGB) and deep neural networks (DNN), are implemented to estimate HCF and FCGR across three distinct scanning strategies. The raw datasets for HCF and FCGR are taken from previously performed experiments. The HCF dataset is augmented using a Gaussian Mixture Model, while the FCGR dataset is used in its raw form. Following hyperparameter optimization, both models exhibited quite similar accuracy on validation datasets. Their performance is assessed during testing using mean squared error (MSE) and R2 scores. The DNN model demonstrated higher accuracy in HCF predictions by achieving higher R2 scores. The DNN performs better because it can handle more complex patterns effectively due to its multiple neurons and deeper multilayer architecture. In contrast, the XGB model performed better in FCGR predictions and yielded higher R2 scores compared to XGB. The good agreement with the experimental dataset shows that these two ML techniques are effective in predicting HCF and FCGR behavior. Full article
(This article belongs to the Special Issue Fatigue and Fracture Behavior of Metallic Components and Structures Under Various Loading Conditions)
►▼ Show Figures

Figure 1

14 pages, 3356 KB  
Article
Progressive and Critical Changes in Outer Minor-Axis Length of Elliptical-Square Tubes Subjected to Cyclic Bending
by Jun-Ting Lin and Wen-Fung Pan
Metals 2026, 16(2), 210; https://doi.org/10.3390/met16020210 - 12 Feb 2026
Cited by 1 | Viewed by 284
Abstract
This study investigates the progressive and critical variations in the outer minor-axis length of 6063-T5 aluminum alloy elliptical-square tubes, each with one of four outer major-to-minor axis length ratios (1.5, 2.0, 2.5, and 3.0), subjected to cyclic bending. The variations in the outer [...] Read more.
This study investigates the progressive and critical variations in the outer minor-axis length of 6063-T5 aluminum alloy elliptical-square tubes, each with one of four outer major-to-minor axis length ratios (1.5, 2.0, 2.5, and 3.0), subjected to cyclic bending. The variations in the outer minor-axis length and the critical conditions leading to structural instability were systematically examined. Experimental observations revealed that the relationship between the changes in outer minor-axis length and the number of cycles could be divided into three distinct stages: (1) a rapid increase during the first stage, (2) a gradual and stable growth during the second stage, and (3) a saturation stage where further increase became negligible before final failure. The results showed that higher controlled curvature values corresponded to greater critical variations in the outer minor axis length, while larger axis-length ratios also led to increased critical variations. Furthermore, a modified version of the empirical ovalization model originally proposed by Lee et al. for SUS304 stainless steel circular tubes was employed. Nonlinear regression using the least-squares method yielded fitting parameters that describe the relationship between changes in the outer minor-axis length and the number of bending cycles during the first and second stages. In addition, a logarithmic-linear correlation was established between the critical change in the outer minor-axis length and the controlled curvature. The strong agreement between theoretical predictions and experimental results confirms the reliability and accuracy of the proposed empirical model and its parameterization. Full article
(This article belongs to the Special Issue Fatigue and Fracture Behavior of Metallic Components and Structures Under Various Loading Conditions)
►▼ Show Figures

Figure 1

17 pages, 9681 KB  
Article
Effects of Pre-Peening on Fatigue Performance of Gas-Nitrided SCM 440 Steel
by Hao Chen, Tai-Cheng Chen, Wen-Han Chen, Hsiao-Hung Hsu and Leu-Wen Tsay
Metals 2025, 15(10), 1118; https://doi.org/10.3390/met15101118 - 9 Oct 2025
Viewed by 997
Abstract
Gas nitriding was implemented in the current work at a constant nitrogen potential (KN) of 2.0 for 8 h to enhance the fatigue properties of SCM 440 steel, and the results were compared with those of the substrate tempered at the [...] Read more.
Gas nitriding was implemented in the current work at a constant nitrogen potential (KN) of 2.0 for 8 h to enhance the fatigue properties of SCM 440 steel, and the results were compared with those of the substrate tempered at the nitriding temperature (475 °C). Fine particle peening (FPP) prior to nitriding imposed a refined structure and induced compressive residual stress (CRS) in the near-surface peened zone. The fine-grained structure provided numerous paths to enhance nitrogen diffusion inwards during nitriding. The compound layer formed on the nitrided SCM 440 steel primarily comprised a mixture of Fe3N and Fe4N; however, the pre-peened and nitrided (SPN) specimens exhibited a higher proportion of Fe3N and a thicker compound layer than the non-peened and nitrided (NPN) counterparts. In addition, FPP prior to nitriding increased both the case depth and the magnitude of the CRS field compared with nitriding alone. The fatigue limits of the substrate (SB), NPN, and SPN samples were approximately 750, 1050, and 1400 MPa, respectively. Gas-nitriding at 475 °C significantly improved the fatigue performance of SCM 440 steel. Moreover, pre-peening prior to nitriding further enhanced fatigue strength and life of the treated SCM 440 steel by introducing a deeper case depth and higher CRS field. Multiple cracks initiation at the outer surface of the SB sample accounted for its lowest fatigue limit among the tested samples. Surface microcracks and pits on the surface of the NPN specimen would be crack initiation sites and harmful to its fatigue resistance. These surface dents were considered to be responsible for fatigue crack initiation in the SPN specimens. Therefore, polishing after nitriding to reduce surface roughness and/or microcracks was expected to further increase the fatigue resistance and the reliability of nitrided SCM 440 steel. Full article
(This article belongs to the Special Issue Fatigue and Fracture Behavior of Metallic Components and Structures Under Various Loading Conditions)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop