Article
Engineering, Mechanical
Shengyuan Zhang, Chun Min Li, Wenjing Ye
Summary: This study presents a novel Lamb wave-based damage detection and localization method, achieved accurate damage localization through time-varying damage index feature and one-dimensional convolutional neural network. The proposed method performs well in various scenarios without the need for a large-scale actuator-sensor network.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Computer Science, Interdisciplinary Applications
Shigetaka Kawai, Wataru Yamazaki, Akira Oyama
Summary: This paper proposes an edge-detection-based method to handle discontinuous functions in multi-dimensional uncertainty propagation problems. By utilizing the Gegenbauer reconstruction method and the Rosenblatt transformation, the proposed method can accurately reconstruct spectral expansions without the occurrence of Gibbs phenomenon.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Instruments & Instrumentation
Hongyu Cui, Ben Li, Li Bin Zhou, Weiming Liu
Summary: This study conducted structural health monitoring and damage detection for thick plate structures using thickness poled SH wave piezoelectric transducers. The experimental results show that structural damage detection based on SH waves can effectively identify and locate thick plate structural damage.
SMART MATERIALS AND STRUCTURES
(2022)
Article
Materials Science, Multidisciplinary
Giedrius Zlabys, Chu-hui Fan, Egidijus Anisimovas, Krzysztof Sacha
Summary: Time crystalline structures exhibit regularity in the time domain similar to spatial regularity in ordinary space crystals, and can be combined to form six-dimensional time-space lattices, revealing the six-dimensional quantum Hall effect quantified by the third Chern number.
Article
Engineering, Civil
Xi Peng, Qiuwei Yang
Summary: This study presents a static shear energy algorithm for the damage assessment of beam-like structures. The algorithm uses the change in static shear energy to determine the damage locations, making use of the spectral factorization of the stiffness matrix and structural deflection variation. One advantage is that it only requires a few deflection data points for damage identification. Another advantage is that it does not require a finite-element model to be established in advance. The proposed algorithm is validated through numerical examples and experimental cases, showing its effectiveness in defect localization.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING
(2022)
Article
Automation & Control Systems
Luca Lomazzi, Marco Giglio, Francesco Cadini
Summary: Ultrasonic guided waves are widely used for structural damage characterization due to their sensitivity to defects. However, heavy processing is often needed to extract damage indices from the acquired signals. Machine learning algorithms have been employed to improve the accuracy of damage diagnosis, but most methods still require extracting damage indices, which may result in loss of diagnostic information. This work aims to test different supervised machine learning algorithms for damage localization and quantification through regression and discuss the limitations of using damage indices instead of unprocessed signals.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Acoustics
Juliette Dreau, Benoit Magnain, Alain Batailly
Summary: This article focuses on the stochastic modeling of nonlinear systems with discontinuous response surfaces. It proposes a method to improve the efficiency of multi-element polynomial chaos expansion by automating the detection of discontinuities and representing them as B-spline curves. The proposed methodology provides a more accurate and computationally efficient approximation of the discontinuous responses compared to classical polynomial chaos and multi-element polynomial chaos expansions.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Nanoscience & Nanotechnology
Zhiyuan Chen, Yujie Yang, Fang Yao, Yongfu Yang, Yuwei Li, Xuchao Jia, Junqi Dong, Libing Qian, Wanping Chen, Wusheng Zou, Jiangbin Zhao, Jinbiao Pang, Wen Xu, Zhu Wang, Gaokui He, Qianqian Lin
Summary: X-ray detectors based on conventional semiconductors with large atomic numbers have poor stability under high dose rate of ionizing irradiation. However, this study demonstrates that a wide band gap ceramic-boron nitride with small atomic numbers can be used for sensitive X-ray detection. Boron nitride samples showed excellent resistance to ionizing radiation and maintained good charge transport properties even after large dose of neutron irradiation. The fabricated X-ray detectors showed decent performance and the neutron-aged boron nitride showed improved operational stability under continuous X-ray irradiation, suggesting great potential for real applications.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Marek Palenik, Milos Musil, Juraj Uradnicek
Summary: This article defines and explains methods for detecting, locating, and quantifying damage in a beam by comparing the decreases in bending natural frequencies. It utilizes polynomial regression to assign relative natural frequency decreases to positions on the beam, allowing for localization and quantification of the damage.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Multidisciplinary
Meijie Zhao, Wensong Zhou, Yong Huang, Hui Li
Summary: In ultrasonic guided wave-based damage detection, a novel two-stage approach is proposed for propagation distance recognition and damage localization based on sparse Bayesian learning framework. The method utilizes prior knowledge of wave packets and sparse representation of guided wave signals to extract propagation distance and amplitude information, and matches distance dictionary atoms to achieve structural damage localization. This approach demonstrates effectiveness in single damage localization and has potential for extension to multiple damage localization.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Civil
Yang Yu, Wentao Ma
Summary: A damage detection method based on wavelet packet energy is proposed in this study, which demonstrates good localization ability and noise robustness in two-dimensional structures.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2022)
Article
Engineering, Civil
Hao Wang, Giorgio Barone, Alister Smith
Summary: This paper introduces a new framework for damage identification and localisation using multi-level data fusion and anomaly detection techniques. The framework is demonstrated through case studies of a simply supported bridge and a continuous bridge. Anomaly detection using a deep convolutional autoencoder is performed to identify single and multiple damages on the bridge. The proposed approach is independent of vehicle mass and speed, and applicable to different types of bridges with minor modifications. The accuracy of damage identification and localisation is shown to be high for both bridge types.
ENGINEERING STRUCTURES
(2023)
Article
Multidisciplinary Sciences
Jianwei Zhao, Zhuo Zhou, Deqing Guan, Jia Guo
Summary: In this study, a data coupling method based on continuous wavelet transform (CWT) is proposed to identify the spatial damage location of beam-type structures. The singularity of the wavelet coefficient is used to identify the signal singularity, and the data coupling method calculates the spatial location of the damage. Numerical simulations and experimental analyses are conducted to evaluate the accuracy of the method.
Article
Computer Science, Interdisciplinary Applications
Furui Wang, Gangbing Song, Yi-Lung Mo
Summary: The proposed one-dimensional memory-augmented convolutional neural network (1D-MACNN) can effectively detect shear loading of through bolts in bridge structures, achieving better performance by addressing new scenarios from unknown distributions.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Chemistry, Analytical
Jongmin Lee, Soosung Kim, Heungjoo Shin
Summary: This study develops a highly sensitive electrochemical heavy metal sensor based on hierarchical porous carbon electrodes, which can detect Cd(II) and Pb(II) at low concentrations. The hierarchical porous structure and sub-micrometer edges of the nanoporous carbon electrodes contribute to the enhanced performance of the sensor.
Article
Chemistry, Analytical
Pierclaudio Savino, Marco Gherlone, Francesco Tondolo, Rita Greco
Summary: The iFEM method can reconstruct the displacement field of structures without requiring knowledge of material properties, making it suitable for concrete structures with material nonlinearities. By considering different measurement stations and mesh configurations, hybrid procedures are proposed to support iFEM analysis.
Article
Engineering, Aerospace
Rinto Roy, Marco Gherlone, Cecilia Surace
Summary: The method proposed in this work utilizes the one-dimensional inverse Finite Element Method to accurately sense the shape of aerospace structures, while accounting for the effects of transverse or torsional loads on cross-sectional variations.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Mechanics
Alessia Ascione, Marco Gherlone, Adrian C. Orifici
Summary: A new model based on Refined Zigzag Theory (RZT) is proposed for analyzing composite beams with piezoelectric actuators, incorporating geometric nonlinearities. The model is verified numerically through comparisons to Abaqus solutions, showing advantages in terms of accuracy and computational efficiency in challenging nonlinear analyses.
COMPOSITE STRUCTURES
(2022)
Article
Chemistry, Analytical
Marco Esposito, Massimiliano Mattone, Marco Gherlone
Summary: The monitoring of loads and displacements is crucial for developing a modern Structural Health Monitoring framework. Several methods based on strain measurements have been developed for displacement reconstruction and load identification. The iFEM, MM, and 2-step method have emerged as the most accurate and reliable ones. In this paper, a comparative study is conducted to test these methods using experimentally measured strains on a stiffened aluminium plate. The results show that the iFEM has extreme accuracy and reliability in reconstructing the deformed shape of the panel, while the MM exhibits sensitivity to the choice of modes, and the 2-step approach depends on the modeling of the experimental setup.
Article
Chemistry, Multidisciplinary
Giulia Delo, Marco Civera, Erica Lenticchia, Gaetano Miraglia, Cecilia Surace, Rosario Ceravolo
Summary: In recent years, the use of interferometric satellite data for Structural Health Monitoring (SHM) has grown significantly. This study explores the application of remote sensing techniques in highlighting the impact of construction activities on urban areas, using the example of a new subway line in Rome. The results demonstrate the correlation between two representation techniques and validate the methodologies used.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Marco Civera, Cecilia Surace
Summary: This research proposes a method based on vibration detection and condition monitoring to alleviate operation and maintenance costs of wind turbines, and uses instantaneous spectral entropy and continuous wavelet transform for anomaly detection and fault diagnosis.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Chemical
Vito Burgio, Marco Civera, Mariana Rodriguez Reinoso, Elena Pizzolante, Simona Prezioso, Andrea Bertuglia, Cecilia Surace
Summary: This study systematically reviewed the mechanical properties of tendons in different anatomical regions of humans and various animal species. The findings showed similarities between animal and human tendons, which should be considered in biomechanical evaluations.
Article
Polymer Science
Oliver Grimaldo Ruiz, Mariana Rodriguez Reinoso, Elena Ingrassia, Federico Vecchio, Filippo Maniero, Vito Burgio, Marco Civera, Ido Bitan, Giuseppe Lacidogna, Cecilia Surace
Summary: This study used PolyJet technology to create bio-mimicking 3D-printed tissue models and evaluated their mechanical properties. The results showed that the mechanical properties varied according to pattern type and material combination. Specimens V were identified as the best combination with the highest mechanical properties. These findings are important for the development of more accurate and realistic computational and 3D printed soft tissue anatomical models.
Article
Chemistry, Physical
Rinto Roy, Marco Gherlone
Summary: This work presents a novel strategy that uses surface-instrumented strain sensors for detecting and localizing damages in composite structures. The strategy relies on real-time reconstruction of structural displacements using the inverse Finite Element Method (iFEM). The iFEM reconstructed displacements or strains are processed to establish a real-time healthy structural baseline, making prior information unnecessary. The approach is demonstrated on carbon fiber-reinforced epoxy composite structures, showing reliability and robustness but highlighting the importance of sensor proximity to accurately predict damages.
Editorial Material
Chemistry, Multidisciplinary
Cecilia Surace
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Lucrezia Lazzarini, Marco Civera, Vito Burgio, Mariana Rodriguez Reinoso, Paola Antonaci, Cecilia Surace
Summary: This study proposes a novel procedure for the Finite Element Modelling and Analysis of motocross knee braces under race conditions. It aims to quantitatively evaluate the effectiveness of knee braces in reducing the risk and consequences of musculoskeletal injuries in motocross. The study emphasizes the importance of conducting dedicated scientific research on the biomechanics of knee braces.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Analytical
Marco Esposito, Rinto Roy, Cecilia Surace, Marco Gherlone
Summary: This work introduces a novel method for accurately and efficiently reconstructing elastic deformation in thin-walled and stiffened structures from discrete strains. By combining beam and shell inverse elements, the proposed hybrid iFEM model demonstrates higher accuracy and efficiency in shape-sensing of geometrically complex structures using fewer sensor measurements. The experimental results show the potential of this hybrid scheme for developing an efficient digital twin for online structural monitoring and control.
Article
Engineering, Aerospace
Filippo Valoriani, Marco Esposito, Marco Gherlone
Summary: This paper compares two approaches to shape sensing, namely Ko's Displacement Theory and the Modal Method, and investigates their accuracy in reconstructing the deflection and twist angle of a half-wing structure through numerical analysis. The results show that the Modal Method outperforms Ko's Displacement Theory in accuracy, especially in evaluating the deflection field, and can achieve excellent reconstructed deflections with a reduced number of sensors.
Article
Construction & Building Technology
Marco Civera, Cecilia Surace
Summary: This article presents a damage assessment technique based on entropy measurements for structural health monitoring of civil structures and infrastructures. The method utilizes instantaneous spectral entropy to detect sudden structural changes and operates by comparing frames of vibration signals to a known baseline.
Article
Acoustics
Sandip Chajjed, Mohammad Khalil, Dominique Poirel, Chris Pettit, Abhijit Sarkar
Summary: This paper reports the generalization of the Bayesian formulation of the flutter margin method, which improves the predictive performance by incorporating the joint prior of aeroelastic modal parameters. The improved algorithm reduces uncertainties in predicting flutter speed and can cut cost by reducing the number of flight tests.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Pascal Zeise, Bernhard Schweizer
Summary: Air ring bearings are an improved version of classical air bearings, providing better damping behavior and allowing operation above the linear threshold speed of instability. However, there is a risk of dangerous vibrations in certain rotor systems, which can be addressed by considering ring tilting effects.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Zbynek Sika, Jan Krivosej, Tomas Vyhlidal
Summary: This paper presents a novel design of a compact six degrees of freedom active vibration absorber with six identical eigenfrequencies. The objective is to completely suppress the vibration of a machine structure with six motion components. By utilizing a Stewart platform structure equipped with six active legs, a spatial unifrequency absorber with six identical eigenfrequencies is achieved. The design is optimized using a correction feedback and active delayed resonator feedback.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Kai Li, Yufeng Liu, Yuntong Dai, Yong Yu
Summary: This paper presents a novel light-powered self-oscillating liquid crystal elastomer (LCE) bow that can self-oscillate continuously and periodically under steady illumination. The dynamics of the LCE bow are theoretically investigated and numerical calculations predict its motion regimes. The suggested LCE bow offers potential advantages in terms of simple structure, customizable size, flexible regulation, and easy assembly.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Carmelo Rosario Vindigni, Giuseppe Mantegna, Calogero Orlando, Andrea Alaimo
Summary: In this study, a simple adaptive flutter suppression system is designed to increase the operative speed range of a wing-aileron aeroelastic plant. The system achieves almost strictly passivity by using a parallel feed-forward compensator implementation and the controller parameters are optimized using a population decline swarm optimization algorithm. Numerical simulations prove the effectiveness of the proposed simple adaptive flutter suppression architecture in different flight scenarios.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Nicco Ulbricht, Alain Boldini, Peng Zhang, Maurizio Porfiri
Summary: The quantification of fluid-structure interactions in marine structures is crucial for their design and optimization. In this study, an analytical solution for the free vibration of a bidirectional composite in contact with a fluid is proposed. By imposing continuity conditions and boundary conditions, the coupled fluid-structure problem is solved and applied to sandwich structures in naval construction, offering insights into the effects of water on mode shapes and through-the-thickness profiles of displacement and stress.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Shahram Hadian Jazi, Mostafa Hadian, Keivan Torabi
Summary: Non-uniformity and damage are the main focus in studying vibrations of beam elements. An exact closed-form explicit solution for the transverse displacement of a nonuniform multi-cracked beam is introduced using generalized functions and distributional derivative concepts. By introducing non-dimensional parameters, the motion equation and its closed-form solution are obtained based on four fundamental functions. The impact of crack count, location, intensity, and boundary conditions on natural frequency and mode shape is evaluated through numerical study.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Eugenio Tramacere, Marius Pakstys, Renato Galluzzi, Nicola Amati, Andrea Tonoli, Torbjoern A. Lembke
Summary: This paper proposes the experimental stabilization of electrodynamic maglev systems by means of passive components, providing key technological support for the Hyperloop concept of high-speed and sustainable transportation.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Pengfei Deng, Xing Tan, He Li
Summary: In this paper, the authors improve the surface morphology method and study the bit-rock interaction model between the rock and the PDC bit, taking into account the impact of blade shape and cutter arrangement. They establish a dynamic model for a deep drilling system equipped with an arbitrary shape PDC bit and propose a stability prediction method. The results show that the shape of the blades and arrangement of the cutters on the PDC bit significantly affect the nonlinear vibration of the drilling system.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Salvador Rodriguez-Blanco, Javier Gonzalez-Monge, Carlos Martel
Summary: In modern LPT designs, the simultaneous presence of forced response and flutter in different operation regimes is unavoidable. Recent evidence suggests that the traditional linear superposition method may be overly conservative. This study examines the flutter and forced response interaction in a realistic low pressure turbine rotor and confirms that the actual response is much smaller than that predicted by linear superposition.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Kabilan Baskaran, Nur Syafiqah Jamaluddin, Alper Celik, Djamel Rezgui, Mahdi Azarpeyvand
Summary: This study investigates the impact of the number of blades on the aeroacoustic characteristics and aerodynamic performance of propellers used in urban air mobility vehicles. The results show that different blade numbers exhibit distinct noise levels, providing valuable insights for further research on propeller noise and aerodynamic performance.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Yongbo Peng, Peifang Sun
Summary: This study focuses on the reliability-based design optimization (RBDO) of the tuned mass-damper-inerter (TMDI) system under non-stationary excitations. The performance of the optimized TMDI system is evaluated using probability density evolution analysis. The results demonstrate the technical advantages of TMDI, including high vibration mitigation performance, considerable mass reduction, and less stroke demand.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Guanfu Lin, Zhong-Rong Lu, Jike Liu, Li Wang
Summary: Vision-based measurement is an emerging method that enables full-field measurement with non-contact and high spatial resolution capabilities. This paper presents a single-camera method for measuring out-of-plane vibration of plate structures using motion-parametric homography to capture image variation and displacement response.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Bronislaw Czaplewski, Mateusz Bocian, John H. G. Macdonald
Summary: Despite two decades of study, there is currently no model that can quantitatively explain pedestrian-generated lateral forces. This research proposes a foot placement control law based on empirical data to calibrate and generalize the rigid-leg inverted pendulum model (IPM) for predicting lateral structural stability.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Acoustics
Justine Carpentier, Jean-Hugh Thomas, Charles Pezerat
Summary: This paper proposes an improved method for the identification of vibration sources on a car window using the corrected force analysis technique. By redefining inverse methods in polar coordinates, more accurate results can be obtained.
JOURNAL OF SOUND AND VIBRATION
(2024)
