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!
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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.…
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…
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…