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Applied Sciences
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Deformation and Fracture Behaviors of Materials
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Deformation and Fracture Behaviors of Materials

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

Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 2209

Special Issue Editors

Dr. Jin Ha Hwang

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Pukyong National University, Busan 48513, Republic of Korea
Interests: materials and fracture; structural design
Prof. Dr. Jun-Hyub Park

E-Mail Website
Guest Editor
Department of Mechanical & Automotive Engineering, Kyungsung University, Busan, Republic of Korea
Interests: materials dnd fracture; thin plate experiment
Prof. Dr. Nak-Kyun Cho

E-Mail Website
Guest Editor
Department of Manufacturing Systems and Design Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea
Interests: creep; structural stress design; LMM

Special Issue Information

Dear Colleagues,

Understanding the deformation and fracture behavior of materials is crucial for comprehending failure mechanisms in structures, devices, and even biological systems. Firstly, the material deformation is categorized based on the time-independence of the elastic, plastic, and creep behavior. Deformations are not limited to the initial microstructure of the material, but change continuously with the processes, environments, and loads. Secondly, the material fracture is distinguished by the direction of loading into static and fatigue loading, involving mechanisms of crack inititation and propagation. A combination of ductile, brittle, and fatigue mechanisms may result from the material fracture depending on temperature variations, exposure environments, and load types. Therefore, an analysis of the deformation and fracture behaviors in various environments is essential for ensuring integrity.

To comprehend such deformation and fracture, it is necessary to employ theoretical, experimental, and numerical studies across multiple cales. This Special Issue collects research aimed at understanding the deformation and fracture of various materials from fundamental and engineering perspectives. Contributions that enhance the understanding of the mechanics at micro-, meso-, and macroscopic scales from theoretical, experimental, and numerical viewpoints in various environments are encouraged.

Dr. Jin Ha Hwang
Prof. Dr. Jun-Hyub Park
Prof. Dr. Nak-Kyun Cho
Guest Editors

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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

  • stress–strain relationship
  • fracture toughness
  • solid mechanics
  • fracture mechanics
  • failure analysis
  • numerical modeling

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Published Papers (3 papers)

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Research

16 pages, 8121 KiB  
Article
An Over-Deterministic Method for Mode III SIF Calculation Using Full-Field Experimental Displacement Fields
by Jorge Guillermo Díaz-Rodríguez, Cesar Hernando Valencia-Niño and Andrés Rodríguez-Torres
Appl. Sci. 2025, 15(6), 3404; https://doi.org/10.3390/app15063404 - 20 Mar 2025
Viewed by 265
Abstract
The paper proposes and tests an approach to determine the stress intensity factors (SIF) of cracks subjected to mode III using full-field displacements as opposed to the crack opening displacement (COD) method, which uses only two data points. The proposed scheme fits displacement [...] Read more.
The paper proposes and tests an approach to determine the stress intensity factors (SIF) of cracks subjected to mode III using full-field displacements as opposed to the crack opening displacement (COD) method, which uses only two data points. The proposed scheme fits displacement data into Williams’ series for cracks, solving the equations using the over-deterministic Least Squares Method (LSM). The method is tested in tubes with through-cracks under axial and cyclic torque loading, and both proportional and non-proportional loading. The Digital Image Correlation (DIC) technique measured the displacement fields, and an approach is presented to address the curvature error in the tube samples. The experimentally determined SIF and SIF ranges with the proposed method are compared with respective values found using COD equations showing a pronounced nonlinear variation. It is concluded that for most, both methods agree, and for the LSM, the number of expansion terms in Williams’ series seems to make no difference, exhibiting less noisy results than the COD method and effectively addresses nonlinear variations in SIF calculations across different loading conditions, ultimately enhancing the understanding of crack behavior under mode III loading. Full article
(This article belongs to the Special Issue Deformation and Fracture Behaviors of Materials)
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12 pages, 501 KiB  
Article
Concentrated Couple in a Plane and in a Half-Plane in the Framework of Fractional Nonlocal Elasticity
by Yuriy Povstenko, Tamara Kyrylych, Bożena Woźna-Szcześniak, Ireneusz Szcześniak and Andrzej Yatsko
Appl. Sci. 2025, 15(4), 2048; https://doi.org/10.3390/app15042048 - 15 Feb 2025
Viewed by 474
Abstract
In nonlocal elasticity, the constitutive equation for the stress tensor is written in an integral form, with the weight function, referred to as the nonlocality kernel, often being the Green’s function for the partial differential equation. In this paper, we obtain solutions to [...] Read more.
In nonlocal elasticity, the constitutive equation for the stress tensor is written in an integral form, with the weight function, referred to as the nonlocality kernel, often being the Green’s function for the partial differential equation. In this paper, we obtain solutions to elasticity problems for a concentrated couple in a plane and on the boundary of a half-plane within framework of a new theory of nonlocal elasticity, where the nonlocal kernel is the Green’s function of the Cauchy problem for the fractional diffusion equation. The obtained solutions are free from nonphysical singularities that appear in the classical local elasticity solutions. Full article
(This article belongs to the Special Issue Deformation and Fracture Behaviors of Materials)
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19 pages, 12045 KiB  
Article
A Topological Approach to Enhancing Consistency in Machine Learning via Recurrent Neural Networks
by Muhammed Adil Yatkin, Mihkel Kõrgesaar and Ümit Işlak
Appl. Sci. 2025, 15(2), 933; https://doi.org/10.3390/app15020933 - 18 Jan 2025
Viewed by 1101
Abstract
The analysis of continuous events for any application involves the discretization of an event into sequences with potential historical dependencies. These sequences represent time stamps or samplings of a continuous process collectively forming a time series dataset utilized for training recurrent neural networks [...] Read more.
The analysis of continuous events for any application involves the discretization of an event into sequences with potential historical dependencies. These sequences represent time stamps or samplings of a continuous process collectively forming a time series dataset utilized for training recurrent neural networks (RNNs) such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) for pattern prediction. The challenge is to ensure that the estimates from the trained models are consistent in the same input domain for different discretizations of the same or similar continuous history-dependent events. In other words, if different time stamps are used during the prediction phase after training, the model is still expected to give consistent predictions based on the knowledge it has learned. To address this, we present a novel RNN transition formula intended to produce consistent estimates in a wide range of engineering applications. The approach was validated with synthetically generated datasets in 1D, 2D, and 3D spaces, intentionally designed to exhibit high non-linearity and complexity. Furthermore, we have verified our results with real-world datasets to ensure practical applicability and robustness. These assessments show the ability of the proposed method, which involves restructuring the mathematical structure and extending conventional RNN architectures, to provide reliable and consistent estimates for complex time series data. Full article
(This article belongs to the Special Issue Deformation and Fracture Behaviors of Materials)
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