Article
Construction & Building Technology
Xianwen Hu, Tingyuan Yin, Hankai Zhu, Ching-Tai Ng, Andrei Kotousov
Summary: This paper investigates the application of nonlinear guided wave mixing technique in the detection of a partially immersed aluminum plate loaded with water. Experimental results show that the amplitudes of the guided wave signals and the relative nonlinearity parameters on the partially immersed plate are different from their counterparts on the plate without water. Numerical simulations also reveal that both the second harmonics and the combination harmonics are sensitive to the material nonlinearity of the plate loaded with water on one side.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Review
Construction & Building Technology
Zhiguo He, Wentao Li, Hadi Salehi, Hao Zhang, Haiyi Zhou, Pengcheng Jiao
Summary: Integrated structural health monitoring ensures the functionality and operation of bridges through mechanism analysis, monitoring technology, and data analytics. This review discusses the current process and future trends of bridge monitoring, focusing on cutting-edge SHM technologies, data transmission and analytics methods, and prediction and early-warning models.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Bin Zhang, Dingmin Yang, Xiaobin Hong, Gang Jin
Summary: In this paper, a deep emulational semi-supervised probability imaging algorithm is proposed to present the damage state in the absence of damage samples, and its effectiveness is verified through experiments.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Civil
Rahim Gorgin, Ziping Wang
Summary: This study proposes a Lamb wave-based structural damage identification technique that does not require baseline data. By determining wave velocity and separating waves, effective damage identification in the presence of temperature changes is achieved.
SMART STRUCTURES AND SYSTEMS
(2021)
Article
Chemistry, Physical
Weiyan Li, Zhongqian Song, Huijun Kong, Minqi Chen, Shengjie Liu, Yu Bao, Yingming Ma, Zhonghui Sun, Zhenbang Liu, Wei Wang, Li Niu
Summary: This paper proposes a conceptual self-powered temperature monitoring platform for simultaneous real-time tracking of the temperature variation in the lower limb of a pregnant woman and her surrounding environment. The single yarn-based temperature (SYBT) sensor exhibits ultrahigh sensitivity, bending resistance, biocompatibility, and integrability with fabrics. The triboelectric nanogenerator embedded into a shoe provides energy for the self-powered features of the platform, and the temperatures are continuously monitored wirelessly with user interfaces.
Article
Engineering, Multidisciplinary
Ilias N. Giannakeas, Zahra Sharif Khodaei, M. H. Aliabadi
Summary: This paper presents a novel framework for compensating the effect of temperature on guided wave structural health monitoring systems. The proposed methodology updates compensation factors using observations obtained at lower scales and propagates the estimated factors to higher scales within a Bayesian framework. The results show that the proposed methodology improves the fidelity of the compensation algorithm and enhances the performance of damage detection and localization.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Stefano Mariani, Yuan Liu, Peter Cawley
Summary: The research shows that temperature compensation methods developed for guided wave inspection outperform traditional baseline selection and signal stretch methods in ultrasonic structural health monitoring systems. Additionally, changes in the back wall reflection ratio can be used to track variations in the reflection coefficient, enabling the detection of smaller defects.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Acoustics
Shujuan Wang, Ce Li, Xiaohong Ma, Qi Liang, Guofu Zhai
Summary: This paper proposes a broadband torsional guided wave MPT based on T(0,1) guided waves and verifies its bandwidth and wavelength characteristics through experiments. By using frequency sweeping detection, through-hole defects of different sizes can be quantitatively analyzed, and the remaining service life of the test specimen can be predicted more accurately.
Article
Engineering, Multidisciplinary
Zhifeng Tang, Weixu Liu, Rui Yan, Pengfei Zhang, Fuzai Lv, Xiangxian Chen
Summary: This study proposes a novel data compression and reconstruction method for the structural health monitoring of switch rails, effectively reducing data transmission while maintaining accuracy through the construction of a data dictionary, design of sampling methods, and matching tracking algorithms. Experimental results demonstrate the method's superior performance in UGW signal sampling and outperforming other algorithms.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Bin Zhang, Xiaobin Hong, Yuan Liu
Summary: The proposed deep convolutional neural network probability imaging algorithm provides an automatic high-level damage index extraction method for guided wave imaging, overcoming the limitations of manual feature extraction and showing good generalization and performance in detecting damage.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Chemistry, Analytical
Jan Niklas Haus, Walter Lang, Thomas Roloff, Liv Rittmeier, Sarah Bornemann, Hael Sinap, Andreas Dietzel
Summary: This study developed a robust MEMS vibrometer for structural health monitoring by recording internal displacement oscillations. The vibrometer was mainly realized using pressure sensor processes, with additional femtosecond laser ablation and encapsulation techniques.
Review
Acoustics
Zhengyan Yang, Hongjuan Yang, Tong Tian, Deshuang Deng, Mutian Hu, Jitong Ma, Dongyue Gao, Jiaqi Zhang, Shuyi Ma, Lei Yang, Hao Xu, Zhanjun Wu
Summary: The development of structural health monitoring (SHM) techniques is important for improving structural efficiency and safety. Guided-ultrasonic-wave-based SHM is recognized as a promising technology due to its advantages. However, the complexity of guided ultrasonic wave propagation in engineering structures makes it difficult to develop precise and efficient signal feature mining methods. Existing guided ultrasonic wave methods lack efficiency and reliability. Machine learning (ML) has been proposed to enhance the guided ultrasonic wave diagnostic techniques for SHM. This paper provides an overview of ML-based guided-wave-based SHM techniques for actual engineering structures, including modeling, data acquisition, preprocessing, and ML modeling.
Article
Materials Science, Multidisciplinary
Sergey Kuznetsov
Summary: This study analyzes the dispersion of guided waves propagating in layered media containing layers with equal acoustic impedances, and discovers several peculiar properties that are essential for developing acoustic non-destructive testing methods.
MECHANICS OF MATERIALS
(2022)
Article
Materials Science, Characterization & Testing
Roberto Miorelli, Clement Fisher, Andrii Kulakovskyi, Bastien Chapuis, Olivier Mesnil, Oscar D'Almeida
Summary: This paper presents an automatic defect localization and sizing procedure for Structural Health Monitoring using guided waves imaging, applied to an aluminum plate with active piezoelectric sensors. The strategy utilizes a convolutional neural network trained on numerical simulations of guided wave signals and processed by the delay and sum imaging algorithm, showing effectiveness in inverting both synthetic and experimental data.
NDT & E INTERNATIONAL
(2021)
Article
Engineering, Mechanical
Giuliano Gardolinski Venson, Karina Mayumi Tsuruta, Roberto Mendes Finzi, Aldemir Ap Cavalini Jr, Valder Steffen jr
Summary: This work presents the use of the Hurst exponent as a new damage metric in structural health monitoring based on the electromechanical impedance method. The effectiveness of the Hurst exponent for damage detection is evaluated through experiments on small aluminum beams. The results demonstrate the advantages and disadvantages of the Hurst method in the context of the electromechanical impedance technique for structural health monitoring.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Keunyoung Jang, Yun-Kyu An, Byunghyun Kim, Soojin Cho
Summary: This article introduces a deep learning-based automated crack evaluation technique using a ring-type climbing robot for high-rise bridge piers, achieving a precision of 90.92%. The technique utilizes various image processing algorithms to quantify cracks and automatically establish a digital crack map.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Hyunjin Bae, Keunyoung Jang, Yun-Kyu An
Summary: This article introduces a new deep learning approach, SrcNet, which improves crack detection by enhancing the resolution of raw digital images. Experimental results show a 24% improvement in crack detection compared to using raw images.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Mechanical
Santhakumar Sampath, R. Dhayalan, Anish Kumar, N. N. Kishore, Hoon Sohn
Summary: This paper introduces a new method using PAUT with FMC to measure acoustic properties and evaluate material degradation. Experimental results show that this method is more accurate than the conventional CUT technique, making it suitable for assessing material degradation.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Engineering, Multidisciplinary
Hyung Jin Lim, Soonkyu Hwang, Hyeonjin Kim, Hoon Sohn
Summary: This study utilizes a faster region-based convolutional neural network for automated detection and classification of surface and subsurface corrosion in steel bridges by combining vision and thermographic images.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Myung Soo Kang, Yun-Kyu An
Summary: This paper proposes a deep learning-based technique for automatically removing background objects from digital images for structural exterior image stitching, achieving a computational cost reduction of 85.7% and generating precise structural exterior maps.
APPLIED SCIENCES-BASEL
(2021)
Article
Materials Science, Characterization & Testing
Peipei Liu, Kiyoon Yi, Ikgeun Jeon, Hoon Sohn
Summary: This study developed a transient thermoreflectance (TTR) technique using a femtosecond laser for porosity inspection in directed energy deposition (DED) additive manufacturing. By comparing thermoreflectance measured at different pump excitation modulation frequencies, the technique is sensitive to porosity rather than thermal property variation. The noncontact nature and scanning capability of the proposed technique make it feasible for in-situ monitoring of porosity during DED additive manufacturing.
NDT & E INTERNATIONAL
(2021)
Article
Materials Science, Multidisciplinary
Ikgeun Jeon, Hoon Sohn
Summary: An online melt pool depth estimation technique was developed in this study to accurately estimate the melt pool depth of laser metal deposition (LMD) parts. Real-time measurements of melt pool shape and temperature distribution were achieved using an infrared camera and a charge-coupled device camera, and the heat conduction equation induced by laser was solved to calculate the temperature distribution within the deposited layer, thus obtaining the melt pool depth.
JOURNAL OF LASER APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Peipei Liu, Liu Yang, Kiyoon Yi, Tribikram Kundu, Hoon Sohn
Summary: Nonlinear ultrasonic techniques have high sensitivity to defects and can be used for in situ porosity monitoring. The sideband peak count (SPC) technique, combined with synchrosqueezed wavelet transform (SWT), is adopted for this purpose in the study. The proposed technique is more sensitive to porosity than conventional linear techniques.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Mechanical
Santhakumar Sampath, Hoon Sohn
Summary: In this study, a non-contact nonlinear Lamb wave mixing technique based on laser line-array excitation is developed for microcrack detection in plate-like structures. The developed system allows the user to selectively implement the Lamb wave mode at the desired input frequency by adjusting the optical lens. Experimental validation shows that the proposed system can locate and detect microcracks in plate-like structures.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Materials Science, Multidisciplinary
Seong-Hyun Park, Kiyoon Yi, Peipei Liu, Gwanghwo Choi, Kyung-Young Jhang, Hoon Sohn
Summary: In this study, a layer-by-layer grain size estimation technique using femtosecond laser ultrasonics was developed for in situ monitoring during DED. The technique employed noncontact and nondestructive testing for grain size estimation and achieved spatial resolution in the micrometer range. The developed technique was validated using Ti-6Al-4V specimens fabricated by DED.
JOURNAL OF LASER APPLICATIONS
(2023)
Article
Construction & Building Technology
Zhanxiong Ma, Jaemook Choi, Jinho Jang, Ohjun Kwon, Hoon Sohn
Summary: This study estimated the displacement and mooring cable tension of a submerged floating tunnel (SFT) using acceleration and strain measurements for the purpose of integrity assessment. Strain measurements were transformed into displacement using simplified mode shapes and mode-scaling factors, and the displacement estimation accuracy was improved by combining strain-based displacement with acceleration measurements. The tension force of a mooring cable was estimated from the displacement at the connection between the tunnel and mooring cable. The proposed technique was examined through numerical simulations and laboratory tests.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Article
Engineering, Mechanical
Zhanxiong Ma, Jaemook Choi, Hoon Sohn
Summary: Monitoring bridge displacement accurately and continuously is challenging, but essential for assessing the health of bridge structures. This study proposes a technique that combines accelerometer, strain gauge, and millimeter-wave radar to estimate bridge displacement, considering intermittent radar occlusion. The technique switches between radar and accelerometer measurements when radar targets are occluded, and includes an automated calibration process and an artificial neural network model for accurate strain-displacement transformation.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Jaemook Choi, Junyeon Chung, Kiyoung Kim, Hoon Sohn
Summary: This study proposes a seismic-induced permanent displacement estimation technique that combines acceleration and computer vision measurements. The technique involves installing a vision camera and accelerometer on a target building to estimate the permanent displacement by capturing the change in position of surrounding objects after a seismic event. The performance of the proposed technique is validated through indoor and outdoor experiments, showing improved results compared to previous techniques.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Materials Science, Characterization & Testing
Jinho Jang, Peipei Liu, Ohjun Kwon, Jaemook Choi, Zhanxiong Ma, Hoon Sohn
Summary: In this study, a reference-free damage detection method was developed by applying a deep long short-term memory network (DLSTM) to nonlinear ultrasonic modulation signals. The proposed method avoids the need for a reference signal or user-specified threshold, thus eliminating false alarms in noisy environments. The results highlight the feasibility of the proposed method for automatic fatigue crack detection.
NDT & E INTERNATIONAL
(2023)
Article
Optics
Sangjun Kim, Ikgeun Jeon, Hoon Sohn
Summary: In this study, a real-time layer height estimation system based on infrared thermographic imaging was developed for the directed energy deposition (DED) process. The system utilizes an artificial neural network (ANN) to estimate the layer height using melt pool properties and printing process parameters as inputs. The proposed system has unique advantages, such as its ability to estimate layer height even under complex movement of the printing nozzle and its simultaneous estimation of melt pool width, length, depth, and layer height. The performance of the layer height estimation was examined through printing experiments, with an overall root mean squared error of 25.44 μm and an absolute percentage error of 12.62% for an average layer height of 200 μm.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
