Article
Engineering, Marine
Weiqin Liu, Xiaoxuan Guo, Guowei Zhang, Hao Wu, Ye Li, Xuemin Song, Zhengguo Liu
Summary: This study proposes a FMRC HEP model and investigates the hydroelastic response of HEP through numerical simulations and model experiments. The results show that experimental and numerical results match, providing guidance for the design of the HEP structure.
Article
Engineering, Electrical & Electronic
Lixun Zhu, Shiyi Liu, Weimin Wu, Wei Li, Chang-Seop Koh
Summary: The article proposes a Preisach-based magnetostriction model for HGO-ESS to simulate the magnetostriction properties under different magnetic field conditions. The model constructs and identifies Everett function databases by measuring symmetric magnetostriction butterfly loops. Comparisons between simulation data and measurement data are made to verify the effectiveness of the proposed model under various rotational magnetization conditions.
IEEE TRANSACTIONS ON MAGNETICS
(2022)
Article
Multidisciplinary Sciences
Shannon C. Haley, Eran Maniv, Shan Wu, Tessa Cookmeyer, Susana Torres-Londono, Meera Aravinth, Nikola Maksimovic, Joel Moore, Robert J. Birgeneau, James G. Analytis
Summary: Recent research has shown that antiferromagnetic order can be controlled by electrical current, with potential applications in information processing and storage. In FexNbS2, this switching effect occurs non-locally, implying that magnetic order can be changed at a distance much larger than the spin diffusion length of the material. Antiferromagnetic spintronics is an emerging field in quantum technologies that utilizes the coupling between spin and orbital degrees of freedom in exotic materials.
NATURE COMMUNICATIONS
(2023)
Article
Energy & Fuels
Xin Zhang, Jiajun He, Lihua Zhu, Pu Li
Summary: This article investigates the electromagnetic vibration and noise in motors. It establishes a 2-D electromagnetic-mechanical coupling transient model based on the quadratic magnetic domain rotation model. The study finds that low-frequency force waves cause deformation in the motor stator, with the largest amplitudes occurring at the single and twice power frequency.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2022)
Article
Chemistry, Inorganic & Nuclear
Alina A. Skorynina, Bogdan O. Protsenko, Oleg A. Usoltsev, Sergey A. Guda, Aram L. Bugaev
Summary: The application of machine learning algorithms to spectroscopic data has great potential in revealing hidden correlations between structural information and spectral features. In this study, ML algorithms were used to establish the connection between structure and spectra in zeolites by analyzing theoretically simulated infrared spectra. The accuracy of predicting the presence or absence of potential tilings and secondary building units (SBUs) was higher than 89%, and several natural tilings and SBUs were successfully predicted. Furthermore, regression analysis using the ExtraTrees algorithm achieved a prediction accuracy above or close to 90% for Si-O distances, Si-O-Si angles, and volume of TO4 tetrahedra. These results demonstrate the potential of infrared spectra as a quantitative tool for characterizing zeolites.
INORGANIC CHEMISTRY
(2023)
Article
Geosciences, Multidisciplinary
M. Haeusler, C. Michel, J. Burjanek, D. Faeh
Summary: Monitoring the dynamic response of unstable rock slopes through analysis of ambient vibration data can effectively identify changes in the slope. The study found that dynamic parameters are primarily influenced by temperature, providing a way to recognize structural changes before a future collapse.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2021)
Article
Engineering, Mechanical
Cecilia Rinaldi, Jacopo Ciambella, Vincenzo Gattulli
Summary: The use of image-based techniques in structural dynamics is increasing due to the cost of high-speed cameras decreasing and the improvement in image processing algorithms. While using fast cameras for data acquisition can significantly increase the number of measurement points, it does not always lead to increased accuracy. By comparing different damage detection techniques using displacement data and modal quantities, the accuracy of damage detection through image-based measurements is validated, without losing the accuracy obtained with accelerometers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Nanoscience & Nanotechnology
Tong Ben, Fangyuan Chen, Long Chen, Rongge Yan
Summary: The study focuses on constructing a stress-dependent magnetostriction model of silicon steel to consider the magnetic domain wall movement effect. By proposing a hysteresis stress-dependent magnetostriction model and measuring magnetostrictive deformation curves of non-oriented silicon steel under external stresses, the effectiveness and accuracy of the model are verified through comparison of measurement and simulation results.
Article
Polymer Science
Vitor Dacol, Elsa Caetano, Joao Ramoa Correia
Summary: The use of glass fibre reinforced polymer (GFRP) composites in civil engineering structures has grown significantly due to their high strength, low self-weight, and corrosion resistance. This study investigates the dynamic behavior of GFRP free-supported beams and compares them with steel beams to evaluate the benefits of using pultruded GFRP structures. Results show that GFRP has significantly higher damping capacity compared to steel, with similar frequencies, highlighting the damping qualities of the polymer-based composite material.
Article
Construction & Building Technology
Xiaolei Chu, Wei Cui, Shengyi Xu, Lin Zhao, Hua Guan, Yaojun Ge
Summary: This article proposes a time series decomposition methodology to divide the structural dynamic properties into long-term parts, multiscale periodic parts, holiday parts, and error parts. By extracting the dynamic properties of a long-span bridge, the article discovers the rules of structural deterioration and the relationships with periodically varying ambient conditions. This methodology can provide references for damage detection and safety assessment for similar bridges.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Article
Engineering, Civil
Hongji Yang, Jinhui Jiang, Guoping Chen, Huanying Bao, Fan Lu
Summary: This paper proposes a complete dynamic force reconstruction process based on the direct inversion method in frequency domain for the support platform structure commonly used in engineering. Dynamic calibration methods of experiment and simulation are analyzed, and Tikhonov regularization is introduced to improve identification accuracy. The results validate the reliability of the proposed method and the necessity of regularization. Additionally, a dynamic load identification method for structural variable stiffness is derived using the four-terminal parameter method.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Engineering, Mechanical
Camilla Ronchei, Sabrina Vantadori, Zbigniew Marciniak, Andrea Zanichelli, Daniela Scorza
Summary: This paper investigates the capability of two multiaxial fatigue criteria in estimating the fatigue life and predicting the crack initiation path of metallic components under random loading. The study simulates an experimental campaign performed on a construction steel 10HNAP at Opole University of Technology.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Engineering, Electrical & Electronic
Tong Ben, Luqian Hou, Long Chen, Ping Zhang, Yuqi Kong, Rongge Yan
Summary: In this article, a vector hysteretic magnetostriction model of silicon steel is proposed and used to simulate the vector vibration characteristics of magnetically controlled reactors (MCRs) under dc bias. The simulation results show that the electromagnetic vibration and magnetic field at the T-joint area are higher than that at other areas.
IEEE TRANSACTIONS ON MAGNETICS
(2022)
Article
Engineering, Electrical & Electronic
Toshiya Inami, Kento Sugawara, Takahiro Nakada, Yui Sakaguchi, Shin Takahashi
Summary: Bulk-sensitive microscopic measurements of buried magnetic domains are conducted using a new magneto-optical effect known as X-ray magnetic circularly polarized emission (XMCPE) in the hard X-ray regime. The study focuses on the internal transverse domains in a grain-oriented electrical steel sheet and successfully visualizes their lateral shapes. Additionally, the magnetic domain structure of supplementary domains below the surface is analyzed through measurements at different incident and exit angles.
IEEE TRANSACTIONS ON MAGNETICS
(2023)
Article
Engineering, Marine
Weicheng Lei, Jikang Chen, Yanlin Shao, Xueying Yu
Summary: This paper investigates two different configurations of Morison elements on damping plates. Computational Fluid Dynamics (CFD) analysis is used to obtain the required drag coefficients and points of acting. A hybrid approach is shown to give satisfactory wave-frequency results compared to full CFD analysis.
Article
Engineering, Mechanical
Klemen Zaletelj, Vid Agrez, Janko Slavic, Rok Petkovsek, Miha Boltezar
Summary: The proposed method utilizes laser-light interference to form a speckle pattern for DIC measurements without modifying the surface of the structure, with speckle size depending on factors such as surface roughness.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Klemen Zaletelj, Janko Slavic, Miha Boltezar
Summary: High-speed-camera measurements offer high spatial density but low dynamic range response, while accelerometer measurements provide low-spatial-density modal shapes with high dynamic range.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
Matic Arh, Janko Slavic
Summary: This research introduces a three axial piezoresistive accelerometer where the whole sensor, including highly conductive electrical paths, is printed in the same process of thermoplastic material extrusion. The design and manufacturing solutions researched for the triaxial accelerometer can be applied to other 3D-printed sensors, for example, force sensors and opens up the possibility of a single-process 3D-printed smart structure.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Article
Engineering, Manufacturing
Tilen Kosir, Janko Slavic
Summary: This research presents the design principles of a functional, single process, dynamic piezoelectric sensor using the FFF technique, which overcomes the limitations of traditional manufacturing methods and enables the embedding of piezoelectric sensing elements into various complex 3D-printed structures.
ADDITIVE MANUFACTURING
(2022)
Article
Engineering, Manufacturing
M. Palmieri, J. Slavic, F. Cianetti
Summary: The study investigates the feasibility of single-process thermoplastic material extrusion (TME) 3D-printed embedded sensors for vibration durability self-aware structures, and explores different fatigue identification methods. Experimental results show that structures based on the frequency-drop method provide reliable fatigue estimation, even when sensors are 3D printed in the fatigue zone and significantly damaged.
ADDITIVE MANUFACTURING
(2021)
Article
Engineering, Mechanical
I Tomac, J. Slavic
Summary: This study explores the use of high-speed cameras for structural monitoring and damping identification, taking advantage of the spatial over determination provided by the cameras to increase accuracy. The research confirms the effectiveness of this method in accurately identifying damping for simple structures using high-speed cameras.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Tibor Barsi Palmic, Janko Slavic
Summary: This research demonstrates the first monolithic 3D-printed stacked dielectric actuators (SDEAs) using a commercially accessible extrusion 3D printer and thermoplastic filaments. The challenges of single-process fabrication of the dielectric layer and electrodes, repeatability and reliability of the 3D-printed thin dielectric layer, and layer stacking were successfully addressed. Four actuators with different active areas and stacked active layers were 3D printed and their functionality was demonstrated through dynamic electromechanical characterization. These actuators show promise for applications requiring high-frequency resonators or high controllability in the sub-resonance region.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Polymer Science
Tilen Kosir, Janko Slavic
Summary: Three-dimensional printing by material extrusion allows for the production of fully functional dynamic piezoelectric sensors in a single process, eliminating the need for additional assembly steps. However, these 3D-printed sensors have higher electrical resistance due to material limitations, resulting in a limited usable frequency range. This research presents an analytical model for determining the usable frequency range of 3D-printed piezoelectric sensors with resistive electrodes, and experimental results confirm the accuracy of the model. This research opens up possibilities for designing the electrical and dynamic characteristics of future intelligent dynamic systems printed in a single process.
Article
Engineering, Mechanical
Martin Cesnik, Janko Slavic, Miha Boltezar
Summary: A fatigue-testing method is proposed to assess the fatigue parameters of 3D-printed structures by exciting the sample with a random-signal profile and adjusting the frequency. The innovative sample design, suitable for 3D printing and frequency-tuneable, allows for significantly shorter fatigue tests and simultaneous testing of multiple samples. The method also enables tracking of the sample's natural frequency and damping during fatigue tests. Experimental verification on PLA samples shows comparable results with the available literature.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Engineering, Mechanical
Tibor Barsi Palmic, Janko Slavic
Summary: Fully 3D-printed smart structures have attracted a lot of research interest, with new technologies, materials, and methods being researched for functional structures such as sensors, actuators, generators, and batteries. This research introduces an analytical, electromechanical model for 3D-printed actuators, aiding in the identification of design principles and customization for specific dynamic applications.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Engineering, Mechanical
Klemen Zaletelj, Domen Gorjup, Janko Slavic, Miha Boltezar
Summary: Model updating improves the correlation between the real structure response and the finite-element model response. The selection of updating parameters is crucial for success. Full-field modal shapes can update a large number of parameters, but the structural response may not be sensitive to arbitrary parameters, and computation of the full sensitivity matrix is not feasible for large FE models. This research investigates updating parameters based on the curvature of 3D experimental shape, and successfully applies the proposed method to numerical and real experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
I. Tomac, J. Slavic
Summary: This research focuses on identifying modal parameters using impact response excitation from signals with a small dynamic range and high noise contamination. The method introduces the Morlet-wave modal identification method and an over-determination approach to overcome challenges of frequency-domain separation, time domain localization, and uncertainty reduction. The method is tested on an experimental example and compared to the classical modal identification methodology.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Review
Engineering, Mechanical
Ales Zorman, Janko Slavic, Miha Boltezar
Summary: This paper aims to establish an open-source code framework for comparing more than 20 spectral methods in order to support spectral-domain vibration-fatigue research. These methods are categorized based on the damage-estimation concept, including narrowband approximation, narrowband correction factor, rainflow probability-density-function approximation, and combined fatigue damage. Through accuracy and comparison studies on different materials, it is found that other methods, besides well-established ones, should be considered when dealing with broadband fatigue loads.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Materials Science, Characterization & Testing
Gasper Krivic, Janko Slavic
Summary: The thermoplastic-extrusion 3D printing is popular for fabricating electrothermal soft actuators that can shape in response to temperature changes. However, material properties significantly impact their performance. This research introduces a simultaneous and non-contact method for identifying these properties, leading to the development of more predictable 3D-printed electrothermal actuators.
Article
Engineering, Manufacturing
Tilen Kosir, Janko Slavic
Summary: This research addresses the challenges in implementing electromagnetic interference (EMI) protection for material extrusion-based piezoelectric sensors, such as limited space encapsulation, low-pass charge filtering, and electrical contact with EMI-protected devices. By introducing design principles and strategies, a fully 3D-printed piezoelectric sensor with EMI shielding and direct connection to measurement devices is fabricated. The sensor demonstrates high signal-to-noise ratio and significantly reduced noise compared to partially shielded sensors. This research is a crucial step towards the integration of piezoelectric sensors into various applications.
ADDITIVE MANUFACTURING
(2023)
