September 2024

Vol. 18, No. 70 (2024)

October 2024

The browsable version is available at this LINK.

Dear friends,

I wish to thank you for all the appreciation I received concerning the new publishing timing (paper publication immediately after the proofs acceptance and the Visual Abstracts uploading). The "traditional" publishing deadlines (January, April, July and October) allow for the collection of the papers published in the three months before the deadline and for publishing the browsable version. Concerning the browsable version, I am delighted to inform you that also this service is particularly appreciated: considering only the last six months, we collected more than three hundred thousand views! … and all these “views” are additional to our journal's “traditional” users.

To improve the readability and the usefulness of the papers published in Frattura ed Integrità Strutturale - Fracture and Structural integrity, we defined the following limits for the number of references and self-references:

- 25 references max for a research paper (with max 5 self-references);
- 50 references max for a review paper (with max 8 self-references);
- no limits for an invited review (with no limits for self-references).

In June, the new evaluation of Scimago was published. I am happy to inform you that Frattura ed Integrità Strutturale – Fracture and Structural integrity has been confirmed in the Q2 quartile for the following categories:

Civil and Structural Engineering;
Mechanical Engineering;
Mechanics of Materials.

We are grateful for the efforts of the authors, reviewers and editorial board members: they are the authors of this amazing result! But… do not hesitate to use the paper published in FIS for your refs (especially the papers published in the last two years)… this will help the journal to maintain the Q2 evaluation and, maybe … obtain something better!

Published
Pages
1–321
Contents18 items Sections8 sections
Views15,402
Downloads9,720
Analytical, computational and physical models Views: 925 Downloads: 758 pp. 257-271

Exploring the elastocaloric effect of Shape Memory Alloys for innovative biomedical devices: a review

Girolamo Costanza, Ilaria Porroni, Maria Elisa Tata

This paper discusses Shape Memory Alloys’ (SMA) elastocaloric effect (EC) and underscores its potential use in substituting conventional cooling systems, for future and innovative applications in the biomedical sector, where temperature…

Analytical, computational and physical models Views: 732 Downloads: 575 pp. 71-90

Modeling turning performance of Inconel 718 with hybrid nanofluid under MQL using ANN and ANFIS

Paresh Kulkarni, Satish Chinchanikar

Soft computing techniques, with their self-learning capabilities, fuzzy principles, and evolutionary computational philosophy, are being increasingly utilized in modeling complex machining processes. This study develops artificial neural…

Analytical, computational and physical models Views: 582 Downloads: 400 pp. 105-120

Numerical study of the influence of the parameters of statistical distribution of the structural elements’ ultimate strength on deformable bodies’ fracture processes

Eugeniia Feklistova, Artur Mugatarov, Valeriy Wildemann

This work is dedicated to the numerical study of the influence of the parameters of statistical distribution of the structural elements’ ultimate strength on fracture processes of deformable bodies with stress concentrators. The loading…

Damage mechanics Views: 2,036 Downloads: 1,024 pp. 133-156

ANSYS implementation of the phase field fracture approach

Dmitry Kosov, Andrey Tumanov, Valery Shlyannikov

In this study, we present a new implementation of the phase field fracture approach in the finite element code ANSYS and its numerical background. The framework is general, and is supported by addressing several classical 2D boundary value…

Failure Analysis and Forensic Engineering Views: 500 Downloads: 387 pp. 242-256

Tool wear evaluation of self-propelled rotary tool and conventional round tool during turning Inconel 718

Satish Chinchanikar, Nitin Motgi

Enhancing the machinability of difficult-to-cut materials is imperative, and a non-conventional rotary tool has shown high potential when machining these materials. This work comparatively evaluates the tool wear of conventional round…

Fatigue and Fracture of metallic alloys Views: 598 Downloads: 459 pp. 272-285

Self-similarity of damage-failure transition and the power laws of fatigue crack advance

Mikhail Bannikov, Vladimir Oborin, Oleg Naimark

We propose the interpretation of the Finite Fracture Mechanics based on the criticality of damage-failure transition due to specific metastability of free energy release. Multiscale mechanisms of fatigue damage-failure transitions in…

Fatigue and Fracture of non metallic materials Views: 642 Downloads: 528 pp. 91-104

Impact of hybrid nanoparticle reinforcements on Mechanical properties of Epoxy-Polylactic Acid (PLA) Composites: Impact of hybrid nanoparticle reinforcements on Mechanical properties of Epoxy-Polylactic Acid (PLA) Composites

M. A. Umarfarooq, K. Dileep, A. Srinath, N.R. Banapurmath, Ashok M. Sajjan

This study examines the influence of graphene nanoplatelets (GNPs) and multi-walled carbon nanotubes (MWCNTs) on the mechanical properties of SiO2-loaded epoxy-polylactic acid (PLA) composites. Epoxy and PLA were mixed to form the matrix…

Fatigue and Fracture of non metallic materials Views: 1,142 Downloads: 764 pp. 1-23

Predicting Damage in Notched Functionally Graded Materials Plates through extended Finite Element Method based on computational simulations

Hakim Siguerdjidjene, Amin Houari, Kouider Madani, Salah Amroune, Mohamed Mokhtari, Barhm Mohamad, Chellil Ahmed, Abdelkrim Merah, Raul Campilho

Presently, Functionally Graded Materials (FGMs) are extensively utilised in several industrial sectors, and the modelling of their mechanical behaviour is consistently advancing. Most studies investigate the impact of layers on the…

Integrity of materials and structures Views: 453 Downloads: 609 pp. 55-70

Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load

Toan Pham Bao, Vien Le-Ngoc

This paper presents a novel method of assessing structural damage in beams exposed to moving loads via acceleration signals through experimental studies. In this study, beams are supported on both ends, and their dynamic response to moving…

Integrity of materials and structures Views: 1,538 Downloads: 792 pp. 310-321

Mechanical Evaluation of Recycled PETG Filament for 3D Printing

Liviu Marsavina, Vlad, Sergiu

Additive manufacturing (AM) is revolutionizing various industries by enabling the creation of complex structures with minimal waste. In the context of a circular economy, the importance of recycling cannot be overstated, as it plays a…

Integrity of materials and structures Views: 547 Downloads: 334 pp. 227-241

Optimization of the internal structure of 3D-printed components for architectural restoration

Valentina Tomei, Ernesto Grande, Maura Imbimbo

In recent years, 3D printing technology has assumed an important role in advanced construction processes across various engineering fields. Among these, the application to the architectural restoration of historic structures is…

Integrity of materials and structures Views: 1,353 Downloads: 368 pp. 210-226

An interface-based microscopic model for the failure analysis of masonry structures reinforced with timber retrofit solutions

Fabrizio Greco, Lorenzo Leonetti, Paolo Lonetti, Paolo Nevone Blasi, Arturo Pascuzzo, Giacinto Porco

This paper presents a refined Finite Element (FE) modeling strategy for analyzing the failure behavior of regular masonry structures reinforced with timber-based retrofit solutions. The proposed model schematizes the masonry as brick…

Integrity of materials and structures Views: 672 Downloads: 377 pp. 286-309

Rubberized reinforced concrete columns under axial and cyclic loading

Mohamed Ahmed, Heba A. Mohamed, Hilal. Hassan, Mahmoud Zaghlal

The experimental study presented in this research was conducted to understand the performance of rubberized concrete columns under axial loads and numerically analyze the conduct of rubberized reinforced concrete (RRC) columns under cyclic…

Integrity of materials and structures Views: 1,035 Downloads: 607 pp. 157-176

Effect of printing process parameters on tensile strength and wear rate of 17-4PH stainless steel deposited using SLM process

Priya Sahadevan, Pon Selvan Chithirai, Avinash Lakshmikanthan, Amiya Bhaumik, Agustin Flores Cuautle

In the current work 17-4PH Stainless Steel is deposited using SLM process. It is widely used to build structural parts appropriate for automotive, medical, and aerospace applications. The 17-4 PH SS samples were deposited using technical…

SI: Russian mechanics contributions for Structural Integrity Views: 541 Downloads: 297 pp. 191-209

Elastic-viscoplastic deformation models of salt rocks

Alexander Baryakh, Andrey Tsayukov

Results of secondary creep tests for salt rock specimens were mathematically described. Elastic-viscoplastic modeling of viscous properties of salt rocks was based on elastoplastic models using a non-associated Mohr-Coulomb plastic flow…

SI: Russian mechanics contributions for Structural Integrity Views: 833 Downloads: 527 pp. 121-132

Application of deep learning for technological parameter optimization of laser shock peening of Ti-6Al-4V alloy

Mikhail Verezhak, Aleksei Vshivkov, Elena Gachegova, Maria Bartolomei, Alexander Mayer, Sathya Swaroop

The paper is devoted to the development of the method of laser shock peening (LSP) of metals. To optimize the mode of LSP for Ti-6Al-4V specimens a deep learning model for predicting residual stresses by laser shock peening was developed.…

SI: New Trends in Structural Health Monitoring Views: 445 Downloads: 387 pp. 177-191

Enhancing Generalizability of a Machine Learning Model for Infrared Thermographic Defect Detection by Using 3D Numerical Modeling

Vladimir Vavilov, Arsenii Chulkov, Alexey Moskovchenko

The paper describes the implementation of 3D numerical simulation in machine learning models used in infrared thermographic nondestructive testing. The enhancement of generalizability of such models emerges as a decisive factor for…

SI: New Trends in Structural Health Monitoring Views: 828 Downloads: 527 pp. 24-54

Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition

Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam

In this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is…