bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Core Cellular Structures on Collapse Mechanisms Maps of Sandwich Beams
Authors: Utzeri M , Morichelli L , Lattanzi A 
Published: February 2023

Abstract
The main advantage of 3D printing is manufacturing complex and innovative shapes which guarantee high mechanical properties. Therefore, it is necessary easily figure out the most suitable structure for the required design requirements. The well-known strategy to design sandwich panels is evaluating collapse maps as they determine the panel performances based on their geometrical features. The aim of this study is to update the traditional collapse maps by showing how the core shape can improve the sandwich beam performance. The collapse maps proposed are based on advanced analytical models than the traditional Gibson theories. The analytical modelling of the indentation phenomenon is based on Vlasov’s model. The analytical modelling of the bending phenomenon is based on the First Shear Order Theory. The overall panel stress and strain maps are computed superposing both effects. A composite sandwich panels with Gyroid core based are analyzed to verify the proposed model consistency. A core failure criterion is chosen by experimental testing evidence on the representative core structure. Once the computed stress state overtakes failure criterion ones, the critical load is defined. In the end, the model is exploited to compare the performances of four sandwich panels with cores based on different lattice structures.
A contribute to the development of a design procedure for space-born sandwich panels with CFRP skins and an aluminum core
Authors: Mancini E , Mussolin L , Palmieri M , Ambrosi G , Cianetti F 
Published: February 2023

Abstract
Composite sandwich panels have a vast heritage and are commonly employed in various fields. The space industry is not an exception and often space structures and experiments use this type of panels. This paper represents an effort toward the development of a design procedure for space-born sandwich panels. The here-presented work has been performed on a real test case: the structural sandwich panel of a scientific space mission. In this preliminary phase, classical methodologies were used to ensure the satisfaction of the mechanical requirements and for the minimization of the panel mass and dimensions. Tools such as Finite Element (FE) were employed to help with the design. Increasingly detailed models were developed and used to design the space panels. In addition, this work describes the future roadmap of the project.
A numerical study on the cold sprayability of carbon fibre reinforced composites
Authors: Heydari Astaraee A , Bagherifard S , Colombo C 
Published: February 2023

Abstract
One of the open questions in cold spraying on fibre reinforced composites is the optimal thickness of the top layer to provide a suitable base for successful deposition of the metallic particles and at the same time to hinder the probable damage of the fibres. In this study, a detailed finite element model is developed to study the deformation of a single Cu particle deposition on to polyether ether ketone (PEEK) substrate reinforced with carbon fibres. A PEEK layer with 30, 40 or 60 μm thickness was considered on the top surface of the composite. The particle impact velocity was varied in the range of 300-600 m/s to analyse its effects on the induced deformations as well as the structural integrity of the critical carbon fibres. It is believed that the proposed model can provide a helpful tool for predicting the optimal conditions in the metallization of polymers using the cold spray technique.
The use of fractional order statistics for estimating nonparametric confidence intervals for quantiles of the fatigue damage computed in service random loadings
Authors: Benasciutti D , Marques J M E 
Published: February 2023

Abstract
This paper deals with the statistical variability of fatigue damage in random loadings as caused by the inherent randomness of the loading. It examines the use of a nonparametric method based on fractional order statistics as a tool for constructing confidence intervals for the quantile of fatigue damage, regardless of the knowledge of the damage probability distribution. The approach here discussed relies on a statistical method existing in the literature. After a short review of this method, with also an emphasis on possible advantages and limitations, the paper presents a numerical benchmark, followed by a practical application to time-histories measured on a mountain-bike in off-road tracks. The paper concludes with some critical remarks and an outlook.
Development, realization and validation of a device for real-time monitoring of fatigue behavior
Authors: Palmieri M , Morganti F , Cianetti F 
Published: February 2023

Abstract
The health monitoring of mechanical components and systems is a technique known and applied for decades in almost all fields of engineering since it allows a drastic reduction of the risks associated with any unexpected failure of components and at the same time allows reducing the plant maintenance and management costs. Several monitoring techniques exists and all of them are based on the acquisition and processing on-field measurements aimed to evaluate possible changes in the behavior of the component. Among these, in recent years a method able to monitor in real-time the fatigue damage or the potential damage of a structure with few information has been developed. In this paper, this method, implemented and tested only numerically, has been implemented in an acquisition board, expressly developed, and its ability to operate in real-time by monitoring the failure of a real component subjected to random vibrations has been tested.
Strength of notched Ti-6Al-4V specimens not subjected to solution treatment and over-aging under cyclic loading
Authors: Arcieri E V , Baragetti S 
Published: February 2023

Abstract
Ti-6Al-4V alloy is a popular titanium alloy due to its high strength / density ratio, high toughness, superior corrosion resistance and good biocompatibility. After forming operations, Ti-6Al-4V is typically subjected to Solution Treatment and Over-Aging (STOA). Fatigue is one of the most frequent causes of failure in mechanical components. The prediction and optimization of the strength of structural components under cyclic loads therefore plays a strategic role and must take into consideration the presence of defects. The aim of the work is to investigate the axial fatigue behaviour of Ti-6Al-4V alloy not subjected to STOA in inert environment in the presence of notches. The experimental results agree well with the results obtained using the Haigh diagram.
DIC analysis of mechanical response of tooth aligners under simulated swallowing acts
Authors: Casavola C , Pappalettera G , Pappalettere C , Patronelli M , Renna G , Ciavarella D , Laurenziello M 
Published: February 2023

Abstract
In this work, the mechanical and deformation behavior of clear Polyethylene Terephthalate-glycol (PET-g) aligners, under cyclic loading was investigated using a full-field optical technique: the Digital Image Correlation. In particular, the PET-g aligners thermoformed from 0.88 mm thick discs, were subjected to cyclic compression tests for 13000 load cycles from 0 to 50 N in the atmospheric environment (~25°C). This number of cycles was chosen because it simulates, on average, the intraoral load associated with the swallowing acts that an aligner is subjected to during the time of use of 1 week. At the same time, the results from the analysis of hysteresis loops obtained by the DIC technique were compared with those obtained by the testing machine. The mechanical response of clear aligners was evaluated in terms of maximum displacement, energy loss and relative stiffness along the load direction to seven different stages of the 13000 load cycles. A comparable trend was found between the measurements obtained by Digital Image Correlation analysis and the analysis of the hysteresis loops obtained from the cyclic compression tests. Furthermore, the morphological features of the PET-g aligner at the end of the tests were analyzed by optical microscopy (OM). The OM analyses showed that the surface of PET-g aligner was affected by morphological variations such as high depressions and cracks.
Implementation of the Peak Stress Method for the automated FEA-assisted design of aluminium welded joints subjected to constant amplitude multiaxial fatigue loads
Authors: Visentin A , Campagnolo A , Simonaggio F , Meneghetti G 
Published: February 2023

Abstract
The Peak Stress Method (PSM) is a FE-oriented local approach to the fatigue strength assessment of welded structures subjected to fatigue loading. Starting from the peak stresses calculated at the V-notch tip nodes defining weld toes or the weld roots, the PSM defines an equivalent peak stress which allows to estimate the fatigue failure location and fatigue lifetime of welded structures, in compliance with appropriate fatigue design curves. An Ansys® Mechanical extension has been developed to achieve full automated implementation of the tasks and calculations necessary to apply the PSM to welded structures. The tool allows to identify and analyse all the V-notch tip edges of the structure and perform fatigue life estimation on each analysed node. As an output, fatigue life results can be visualized through dedicated tabular data, graphs and contour results generated over the edges of the model. In this work, common-to-complex 3D geometries taken from the literature and related to aluminium alloys welded joints subjected to uniaxial as well as multiaxial fatigue loads have been analysed by comparing two design approaches: (i) manual application of the PSM, (ii) automated implementation of the PSM. The tool developed in Ansys® Mechanical allows to significantly contain the time and effort required to analyse welded structures according to the PSM.
Numerical modelling of the mechanical behaviour of Aluminosilicate Glass: A comparison between two simulation approaches
Authors: Manes A , Tartaglia M N , Wang Z 
Published: February 2023

Abstract
This paper presents a comparison between two numerical methods for modelling the mechanical and failure behaviour of aluminosilicate glass: Cohesive Elements Method (CEM) and Finite Element Method coupled to Smooth Particle Hydrodynamics (FEM-SPH). The failure behaviours, provided by these two approaches, are herein compared under i) quasi-static tests on material coupons, ii) dynamic tests (compressive and tensile tests) also on material coupons and iii) structural impact loading conditions in which the ballistic perforation of aluminosilicate glass tiles due to the impact of a flat-nosed steel projectile are considered. Both methods provide comparable results under quasi-static loading conditions, while more significant differences arise in the ballistic impact part, in which some limitations of CEM are shown.
Experimental and postprocessing procedures for the response of sheet metals to high strain rate
Authors: Mirone G , Barbagallo R , Tedesco M M , De Caro D , Ferrea M 
Published: February 2023

Abstract
Metals subjected to high strain rates in Hopkinson bar testing remarkably increase their temperature, so that thermal and dynamic effects are always interleaved. Experimental procedures in such field are not clearly standardized and the most common methods for tensile testing and postprocessing cannot highlight some crucial aspects of the dynamic response of metals. When sheet metal specimens are tested instead of bulk specimens, the accurate derivation of the flow curves are further complicated due to intrinsic strain nonuniformities induced by the specimen geometry and to possible material anisotropy. The local strain peaks calculated by digital image correlation, together with the specimen elongation / shrinking evaluated on the deforming specimen by optical methods, deliver remarkably different estimates of the stress-strain curves and of the strain rate histories for the same given test. Such differences are discussed in this paper together with the assessment of the anisotropic response of the material at static, intermediate and high strain rates.
Computational modeling of confined blast waves with focus on interaction with structures
Authors: Shehu E , Lomazzi L , Giglio M , Manes A 
Published: February 2023

Abstract
Blast loading is a critical extreme loading condition for most engineering structures. Modeling such scenarios is challenging due to the intrinsic non-linearities. Recent numerical methods can capture the physics governing blast waves and their interaction with structures in a more accurate way than established empirical methods. This article is intended as a proof of concept that state-of-the-art CFD and FE software can be combined to set up high-fidelity uncoupled simulations. Computational fluid dynamics is exploited in this work to map the pressure field developed during a detonation reaction in a Eulerian domain. Then, such pressure time history is applied in the finite element framework to perform Lagrangian simulations. The methodology is used to compare the structural response of blast-loaded plates in fully confined environments to that in free-field scenarios. It turns out that confined blast waves are more severe than blast waves in unconfined scenarios, mainly due to the multiple reflections and residual quasi-static pressure. Moreover, on the one hand, the quasi-static pressure appears to contribute to further increasing the plate out-of-plane deflection, while on the other hand, it prevents plates from undergoing reverse buckling or oscillations around the initial equilibrium configuration. Experimental tests are required to provide further evidence about the latter contribution.
Ductility assessment of a 17-4PH steel through simple multiaxial tests
Authors: Cortis G , Broggiato G B , Cortese L 
Published: February 2023

Abstract
The present work summarizes the results of an experimental campaign aimed at assessing the ductility of a wrought 17-4PH steel alloy. A simple specimen reproducing multiaxial stress states through a universal testing machine is selected. A Finite Element Model (FEM) for each test is setup to extract the local values of stress and strain in the most critical point on the onset of failure. A Digital Image Correlation (DIC) technique is employed to assess the strain field estimated via FEM. The collected data are used to analyse the material ductility, calculating the triaxiality and deviatoric parameter at the fracture strain. The proposed tests fall in the range of low triaxialities, which are less investigated in the literature. The results obtained are compared with the prediction of a damage model, previously calibrated on the material through more conventional tests. The prediction accuracy of the damage model was fully confirmed by the outcome of the new tests. Eventually, the possibility of replacing some of the conventional tests used for calibration with the proposed specimen is explored.
MXene/chitosan/lignosulfonate (MCL) nanocomposite for simultaneous removal of Co(II), Cr(VI), Cu(II), Ni(II) and Pb(II) heavy metals from wastewater
Authors: Othman Zakarya , Mackey Hamish R , Mahmoud Khaled A 
Published: February 2023

Abstract
In this work, a novel Ti3C2T
x
MXene/chitosan/lignosulfonate adsorbent (MCL), was prepared via a facile decoration of Ti3C2T
x
MXene sheets with chitosan/lignosulfonate nanospheres as a renewable and biodegradable additive that can improve the biocompatibility and aqueous stability of MXenes. Chitosan/lignosulfonate nanospheres were stabilized on the surface of MXne sheets, endowing them with a variety of surface functionalities, high specific surface area, and antioxidant characteristics. The competitive adsorption of multi-metal systems revealed that MCL had a preferential adsorption affinity toward various heavy metal ions; the MCL removal efficiency for the quinary-metal ions adsorption followed a trend of Pb(II) > Cr(VI) ≈ Cu(II) > Ni(II) ≈ Co(II) in neutral pH conditions. A moderate reduction was observed for Cu(II) and Cr(VI) ions. For all metals, the kinetics data fitted well with the pseudo-second-order model, and the adsorption equilibrium was best described by the Langmuir model. The adsorption mechanism is suggested to be a synergic combination of electrostatic interaction, surface complexation, and ion exchange. The findings of this study provide a new approach for eco-friendly MXene surface modification and give a general pattern of metal pollutants interactions during adsorption.
Optical design of vertical edge Thomson scattering on HL-2M tokamak
Authors: GONG Shaobo , SHI Zhongbing , ZHOU Yixuan , ZHANG Tongchuan , GAO Jinming , ZHENG Dianlin , SUN Ping , YU Liming , CHEN Wei , ZHONG Wulyu , XU Min , DUAN Xuru 
Published: February 2023

Abstract
A vertical edge Thomson scattering (ETS) diagnostic system on HL-2M tokamak has been designed. The ETS system collects the scattered light from Nd:YAG laser (1064 nm, 2 J, 30 Hz, 15 ns). The laser beam propagates vertically through the plasma region and the polarization is parallel to the toroidal magnetic field. A special designed Galileo-type telescope with long Rayleigh length is applied to focus the laser size and ensure collimation. A group of double-Gaussian collection lenses image the 600 mm vertical scattered region onto rectangular fiber arrays with a spatial resolution of 10 mm. The 2.20 mm × 2.86 mm fiber optic bundle consists of 130 low hydroxyl (OH) 200/220 μm (core/cladding) diameter fibers with numerical aperture NA = 0.22, carrying the light to remotely located multi-channel polychromators. Effect of oblique incidence on narrow band filter has been analyzed. The designed electron temperatures range from 5 to 1000 eV and electron densities from 5 × 1018 to 1 × 1020 m−3.
Signatures of a sampling quantum advantage in driven quantum many-body systems
Authors: Tangpanitanon Jirawat , Thanasilp Supanut , Lemonde Marc-Antoine , Dangniam Ninnat , Angelakis Dimitris G 
Published: February 2023

Abstract
A crucial milestone in the field of quantum simulation and computation is to demonstrate that a quantum device can perform a computation task that is classically intractable. A key question is to identify setups that can achieve such goal within current technologies. In this work, we provide formal evidence that sampling bit-strings from a periodic evolution of a unitary drawn from the circular orthogonal ensemble (COE) cannot be efficiently simulated with classical computers. As the statistical properties of COE coincide with a large class of driven analog quantum systems thanks to the Floquet eigenstate thermalization hypothesis, our results indicate the possibility that those driven systems could constitute practical candidates for a sampling quantum advantage. To further support this, we give numerical examples of driven disordered Ising chains and 1D driven Bose–Hubbard model.
Probing the dynamics and coherence of a semiconductor hole spin via acoustic phonon-assisted excitation
Authors: Coste N , Gundin M , Fioretto D A , Thomas S E , Millet C , Mehdi E , Somaschi N , Morassi M , Pont M , Lemaître A , Belabas N , Krebs O , Lanco L , Senellart P 
Published: February 2023

Abstract
Spins in semiconductor quantum dots (QDs) are promising local quantum memories to generate polarization-encoded photonic cluster states, as proposed in the pioneering Lindner and Rudolph scheme (2009 Phys. Rev. Lett.
103 113602). However, harnessing the polarization degree of freedom of the optical transitions is hindered by resonant excitation schemes that are widely used to obtain high photon indistinguishability. Here we show that acoustic phonon-assisted excitation, a scheme that preserves high indistinguishability, also allows to fully exploit the polarization selective optical transitions to initialise and measure single spin states. We access the coherence of hole spin systems in a low transverse magnetic field and directly monitor the spin Larmor precession both during the radiative emission process of an excited state or in the QD ground state. We report a spin state detection fidelity of

94.7
±
0.2
%

granted by the optical selection rules and a

25
±
5

ns hole spin coherence time, demonstrating the potential of this scheme and system to generate linear cluster states with a dozen of photons.
Occurrence of antibiotic resistance genes and potentially pathogenic bacteria in the Yangtze River tributary (Nanjing section) and their correlation with environmental factors
Authors: Rajasekar Adharsh , Vadde Kiran Kumar , Murava Raphinos Tackmore , Qiu Mengru , Guo Shuaizhi , Yu Tong , Wang Ruoqing , Zhao Cailin 
Published: February 2023

Abstract
Freshwater environments are vulnerable to emerging contaminants such as Antibiotic resistance genes (ARGs), and their occurrence is gaining more attention. However, the occurrence of ARGs along with potential pathogens is less explored. The current study aimed to evaluate the abundance of ARGs and explore bacterial communities for the presence of potential bacterial pathogens in water samples collected from a tributary to the Yangtze River in Nanjing. Twelve physico-chemical parameters were analyzed, followed by quantifying 10 ARGs targeting sulfonamide (sul1, sul2), tetracycline (tetG, tetM, tetQ), erythromycin (ermB), vancomycin (vanA, vanR), and streptomycin (strA, strB) using real-time PCR and bacterial diversity characterization using high-throughput 16 S rRNA sequencing. The results indicated poor water quality and high-level eutrophication in most sampling locations. sul1, sul2, and strB were dominant in the study area with average concentrations of 6.8, 7.1, and 6.5 Log10 gene copies/100 ml, respectively. Proteobacteria, Cyanobacteria, Bacteroidetes, and Actinobacteria were the main phyla detected in the study area, and genus-level analysis revealed the presence of eight potential pathogenic and ten fecal-associated bacterial genera at several locations in the study area. The distance-based Redundancy analysis indicated that total phosphorus, electrical conductivity, dissolved oxygen, total dissolved solids, ammonium-N (NH4
+-N), and chlorophyll a had significantly influenced the bacterial community composition in the monitored locations. Correlation analysis demonstrated that water temperature, pH, NH4
+-N, and total organic carbon were positively correlated with sul2, tetG, and vanR genes, indicating that these environmental parameters significantly affected the ARGs distribution pattern. Overall, our results provide valuable information regarding the occurrence of ARGs and potential bacterial pathogens in the study area; however, their co-existence highlights increased human health risks.