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Design, Mechanical Properties, and Fatigue Behavior of Materials, Welding Joints and Structures

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

Deadline for manuscript submissions: 20 February 2025 | Viewed by 2453

Special Issue Editors


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Guest Editor
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
Interests: fatigue and fracture; welding and joining; structural integrity; residual stress; computational method; mechanics of welded structures
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Dipartimento di Ingegneria, Università degli Studi di Messina, Messina, Italy
Interests: fatigue; marine structures; welded joints; digital image correlation; infrared thermography; finite element analysis; explosion welding; composites; shipbuilding
Special Issues, Collections and Topics in MDPI journals
1. College of Water Conservancy and Civil Engineering, Shandong Agricultural University, Taian, China
2. School of Ocean Engineering, Harbin Institute of Technology at Weihai, Weihai 264200, China
Interests: fatigue performance analysis of welded structures; multiaxial stress state; fatigue lifetime prediction; fatigue crack initiation and propagation; traction structural stress method
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are delighted to present this special issue dedicated to the crucial and ever-evolving field of “Design, Mechanical Properties, and Fatigue Behavior of Materials, Welding Joints and Structures”. This special issue aims to bring together the latest research and advancements in this interdisciplinary area.

Materials play a fundamental role in various engineering applications, and their design, mechanical properties, and fatigue behavior are of paramount importance for ensuring the reliability and longevity of structures and components. Welding joints, as common connection methods in manufacturing, have a significant impact on the overall performance and durability of assemblies.

This special issue invites original research articles, review papers, and case studies that explore various aspects related to the design, mechanical behavior, and fatigue performance of materials, as well as the integrity and reliability of welding joints and structures. Topics of interest include but are not limited to:

  • Innovative design approaches for materials and structures to enhance mechanical and fatigue properties.
  • Characterization and modeling of the mechanical behavior of advanced materials.
  • Fatigue life prediction and assessment methods for materials and structures.
  • Effects of welding processes and parameters on the mechanical and fatigue behavior of welding joints.
  • Failure analysis and prevention strategies for materials and welded structures.
  • Development and application of non-destructive testing techniques for evaluating the integrity of materials and welding joints.

We encourage submissions from academia, industry, and research institutions worldwide. Submitted manuscripts will undergo a rigorous peer-review process to ensure the quality and scientific validity of the published work.

We sincerely hope that this special issue will serve as a platform for sharing valuable knowledge and insights, promoting collaborative research, and driving the advancement of this important field.

We look forward to receiving your excellent contributions and making this special issue a great success.

Best regards,

Dr. Xianjun Pei
Dr. Pasqualino Corigliano
Dr. Haibo Yang
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

  • modeling, test and theoretical analysis
  • lifetime prediction
  • welding process
  • residual stress
  • fatigue crack propagation
  • civil engineering materials
  • fatigue behavior analysis
  • welding joint characteristics
  • material fatigue resistance
  • welding process optimization
  • welded structure durability
  • structural mechanics
  • welding joint reliability
  • material fatigue testing

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Published Papers (3 papers)

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Research

23 pages, 7118 KiB  
Article
Experimental Study on the Mechanical Performance of Reinforced Concrete Joints Connected by T-Shaped Steel Plates
by Jian Wu, Ying Jiang, Jian Zhou, Chaoqun Hu, Jianhui Wang and Weigao Ding
Materials 2025, 18(3), 600; https://doi.org/10.3390/ma18030600 - 28 Jan 2025
Viewed by 483
Abstract
In the case of engineering structures, the performance of a structure will gradually deteriorate with an increase in the usage time, leading to a decrease in the safety of the structure. In addition, even if the safety of a structure is reliable, its [...] Read more.
In the case of engineering structures, the performance of a structure will gradually deteriorate with an increase in the usage time, leading to a decrease in the safety of the structure. In addition, even if the safety of a structure is reliable, its current structure type may no longer meet the latest usage requirements. Therefore, four reinforced concrete specimens were produced in this study: one was a cast-in-place specimen, and three were specimens connected by a T-shaped steel plate with steel cladding reinforcement. This article first introduces the structural form and construction method of the new types of joints, and then it describes the quasi-static testing that was conducted to analyze seismic performance indicators such as the failure characteristics, bearing capacity, ductility, stiffness degradation, and energy dissipation. Finally, combined with a strain analysis of the steel bars and steel plates, the force transmission mechanism of the new types of joints was investigated. The research content of this paper helps to promote the progress of structural retrofitting and strengthening work and the sustainable development of the construction industry. Full article
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18 pages, 12799 KiB  
Article
Development of Application Customization Toolkit (ACT) for 3D Thermal Elastic-Plastic Welding Analysis
by Jaeyong Lee, Dong Hee Park, Juhyeon Park and Do Kyun Kim
Materials 2025, 18(1), 57; https://doi.org/10.3390/ma18010057 - 26 Dec 2024
Viewed by 496
Abstract
A 3D thermal elastic-plastic welding analysis ACT (Application Customization Toolkit) was developed in ANSYS, making welding analysis more accessible. The welding analysis was performed using a decoupled method, separated into thermal and structural analyses. To validate the results, comparisons were made with previous [...] Read more.
A 3D thermal elastic-plastic welding analysis ACT (Application Customization Toolkit) was developed in ANSYS, making welding analysis more accessible. The welding analysis was performed using a decoupled method, separated into thermal and structural analyses. To validate the results, comparisons were made with previous studies for two types of welding: T-joint fillet welding and butt welding. Subsequently, the residual stress and deformation obtained from the welding analysis were applied as initial imperfections in a compression analysis to evaluate the ultimate compressive strength with conventional compression analysis. This comparison allowed for a more realistic assessment of the effects of deformation and residual stress distribution on the structural behaviours. Full article
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22 pages, 5274 KiB  
Article
Fatigue Life Prediction of 2024-T3 Al Alloy by Integrating Particle Swarm Optimization—Extreme Gradient Boosting and Physical Model
by Zhaoji Li, Haitao Yue, Ce Zhang, Weibing Dai, Chenguang Guo, Qiang Li and Jianzhuo Zhang
Materials 2024, 17(21), 5332; https://doi.org/10.3390/ma17215332 - 31 Oct 2024
Cited by 1 | Viewed by 1056
Abstract
The multi-parameter characteristics of the physical model pose a challenge to the fatigue life prediction of 2024-T3 aluminum (Al) alloy. In response to this issue, a parameter-solving method that integrates particle swarm optimization (PSO) with extreme gradient boosting (XGBoost) is proposed in this [...] Read more.
The multi-parameter characteristics of the physical model pose a challenge to the fatigue life prediction of 2024-T3 aluminum (Al) alloy. In response to this issue, a parameter-solving method that integrates particle swarm optimization (PSO) with extreme gradient boosting (XGBoost) is proposed in this study. The fatigue performance and failure mechanism of the 2024-T3 Al alloy are analyzed. Furthermore, the fatigue life prediction physical model of the 2024-T3 Al alloy is established by using the energy method of fracture mechanics. The physical model incorporates critical physical parameters. Meanwhile, the PSO algorithm optimizes the hyperparameters of the XGBoost model based on fatigue data of the 2024-T3 Al alloy. Eventually, the optimized XGBoost model is used to solve the parameters of the physical model. Furthermore, the analytical equation of the fatigue life prediction model is obtained. This paper provides a new method for solving the parameters of the fatigue life prediction model, which reduces the error and cost of obtaining the model parameters in the experiment and shortens the time required. Full article
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