Article
Engineering, Mechanical
Difei Wu, Mengyuan Zeng, Hongduo Zhao, Yang Wang, Yuchuan Du
Summary: This paper introduces a novel method for detecting debonding beneath concrete pavement using transmissibility function analysis, demonstrating its feasibility through theoretical deduction, finite element analysis, and field tests. The study reveals the crucial influence of measurement node layout and frequency range on the analysis results, with denser node arrays and lower noise levels contributing to more precise debonding localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Aerospace
Ziwei Luo, Huanlin Liu, Ling Yu
Summary: The study introduces a novel damage indicator (WTAC) to enhance the sensitivity of structural damage detection, and validates its effectiveness and robustness through numerical simulations and experimental studies.
JOURNAL OF AEROSPACE ENGINEERING
(2021)
Article
Acoustics
Xiaojuan Wang, Feng Chen, Hongyuan Zhou, Pinghe Ni, Lihui Wang, Jian Zhang
Summary: In this study, an identification strategy based on cross-correlation function with data fusion of various dynamic measurements was proposed to improve the accuracy of structural damage detection. The results showed that the cross-correlation function among different types of vibration measurements significantly improved the accuracy of the identification results, and the proposed strategy exhibited excellent robustness to measurement noise.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Aerospace
Seyed-Ehsan Mir-Haidari, Kamran Behdinan
Summary: The research proposes a novel theoretical approach using bond graph methodology for structural health assessment of aeroengine structures. The results can detect and localize damage to the structure, with damage indicator factors identified for specified regions to assess severity of propagation. The proposed methodology offers advantages over other processes, reducing costs associated with damage detection and providing an accurate benchmark for structural integrity assessment.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Mechanical
Wang-Ji Yan, Dimitrios Chronopoulos, Ka-Veng Yuen, Yi-Chen Zhu
Summary: Transmissibility function (TF) is widely used in structural damage detection due to its robustness and a new statistical, data-driven damage detection algorithm is proposed in this study. The algorithm computes the probabilistic distance of TFs to detect structural anomalies and offers a statistically rigorous threshold selection scheme for detecting damage. Results show satisfactory performance in detecting and quantifying damage severity.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Lin-Feng Mei, Wang-Ji Yan, Ka-Veng Yuen, Wei-Xin Ren, Michael Beer
Summary: This paper proposes a new damage detection method by integrating the advantage of transmissibility function (TF) as a health index sensitive to damage but robust to excitation and agglomerative hierarchical clustering (AHC) with intuitive explanation and visualization but avoiding specifying the number of clusters. The method utilizes a multivariate probabilistic distance-based similarity metric to account for the uncertainty and correlation of multiple TFs. The performance of the method has been validated through case studies and it shows better performance compared to traditional methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Civil
Yasaman J. Soofi, Maryam Bitaraf
Summary: This paper introduces an output-only structural damage identification methodology that combines information entropy and transmissibility function, demonstrating effectiveness and robustness through case studies on numerical and experimental datasets. The methodology introduces a damage index and compares the performance with other indices to identify damage presence, type, and severity.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Engineering, Civil
Ziwei Luo, Huanlin Liu, Ling Yu
Summary: In this study, a multi-state strategy based on weighted TF (WTF) is proposed to improve sensitivity of TF to change in parameters and obtain a more reasonable FE model for structural damage detection (SDD). The effectiveness of the proposed method is verified through numerical simulations and laboratory experiments, showing improved sensitivity to structural damages and accurate detection of damage locations and degrees with the updated FE model obtained by the multi-state strategy.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2021)
Article
Acoustics
Kaixuan Tong, Hanying Mao, Ruixuan Wu, Jiankang Zhong, Hanling Mao, Zhenfeng Huang, Xinxin Li
Summary: This paper constructs a correlation transmissibility damage indicator (CTDI) to analyze the degradation performance of the hydropower generator unit (HGU) based on the transmissibility function (TF). The results show that the method can accurately detect and locate faults under different operating conditions, and reveal the deterioration pattern of HGU performance, which is of great significance for HGU maintenance.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Acoustics
Jun Lin, Huanlin Liu, Shihua Huang, Zhenhua Nie, Hongwei Ma
Summary: This paper presents a novel method for structural damage detection in beam bridges using limited sensors. The method involves cutting out measured acceleration responses with a moving window, extracting principal components through subspace analysis, and obtaining correlation coefficients between the components using canonical correlation analysis. A new damage factor is defined based on the output of the correlation analysis. Numerical and experimental results demonstrate the successful identification of single and multiple damages using a limited number of sensors.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Civil
M. S. Dizaji, M. Alipour, D. K. Harris
Summary: This paper introduces a novel method for detecting and reconstructing internal damage in structural members using structural health monitoring and digital image correlation techniques. Results demonstrate the successful extraction of detailed internal damage information, showing promise as a subsurface damage detection method.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Mechanical
Zhandong Yuan, Shengyang Zhu, Stefano Mariani, Qinglai Zhang, Jiang Wu, Wanming Zhai
Summary: This study proposes a multi-strategy-based domain adaptation method for cross-domain damage detection and localization of steel-spring vibration isolators. The method incorporates domain adversarial training and feature distribution discrepancy regularization. The advantage of the proposed method is that it only requires labeled data from the source domain and does not need labeled data related to the real structure for model training. The effectiveness of the proposed method is validated using an experimental dataset collected during field tests.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Construction & Building Technology
Lihua Zhai, Gensen Cai, Yuehua Liang, Shaoxiang Guan, Shuying Wang, Luqman Liaquat
Summary: In order to meet the operational needs of a new metro line in Guangzhou, China, a complex tunneling project was carried out in a business area surrounded by high-rise buildings and underground utility pipelines. The study investigated the deformation and stress characteristics of the newly built tunnel lining structures and the settlement of existing tunnels during various construction stages. The findings suggest that ground pressure resulting from deep-hole grouting may compromise the structural integrity of the newly constructed tunnels.
Article
Acoustics
Lijun Liu, Xin Zhang, Ying Lei
Summary: In recent years, a methodology based on the energy variations of structural dynamic strain responses has been developed for efficient data-driven structural damage identification. However, it can only be applied to structures under impulse or known excitations. To overcome this limitation, an improved method is proposed in this paper for rapid damage identification of beam-like structures using structural dynamic strain responses under unknown seismic excitations. The method utilizes transmissibility functions (TFs) of measured structural strain responses to eliminate the influence of different excitations and power spectral density transmissibility functions (PSDTFs) instead of traditional Fourier transform TFs to avoid frequency band selection issues. The effectiveness and robustness of the improved method are demonstrated through numerical examples and experimental validation.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Engineering, Multidisciplinary
Michael Siu Hey Leung, Joseph Corcoran
Summary: The value of using permanently installed monitoring systems for managing engineering assets depends on the confidence in their damage detection capabilities. A proposed framework integrates detection data with probabilistic structural integrity assessments, utilizing probability of detection (POD) curves and particle filtering methods to continuously update estimated defect size and failure probability. The framework demonstrates the potential of permanently installed sensors to maintain confidence in fitness-for-service while reducing the need for frequent inspections, ultimately improving integrity management.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Chemistry, Analytical
Dan Li, Yang Wang
Article
Engineering, Multidisciplinary
Dan Li, Yang Wang
Summary: This article proposes a modified differentiable Bouc-Wen model and a constrained extended Kalman filter for reliable identification of hysteretic model parameters. The study demonstrates that the constrained extended Kalman filter can achieve more reliable identification results than the standard extended Kalman filter.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Engineering, Mechanical
Dan Li, Yang Wang
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2020)
Article
Engineering, Mechanical
Xi Liu, Yang Wang, Erik Verriest
Summary: This paper introduces a unified minimum-mean-square-error (MMSE) estimation framework for the simultaneous input-state estimation problem in discrete-time linear stochastic systems with unknown input. It compares the FIC estimator with other estimators, demonstrating its superiority in handling unknown input dynamics.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Civil
Yu Otsuki, Dan Li, Santanu S. Dey, Masahiro Kurata, Yang Wang
Summary: This paper proposes a method to improve the accuracy of FE model updating by introducing the branch-and-bound algorithm, which is validated through comparison of experimental and simulation data.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2021)
Editorial Material
Chemistry, Analytical
Hyun Myung, Yang Wang
Article
Construction & Building Technology
Yu Otsuki, Peter Lander, Xinjun Dong, Yang Wang
Summary: This paper describes a MATLAB package called SMU for structural model updating. The package updates parameter values of a finite element model using optimization problems and modal properties obtained from sensor measurements. SMU offers three model updating formulations and implements the analytical Jacobian derivative for each formulation. To improve the chances of finding a better local minimum, SMU can perform gradient search. The paper demonstrates the functionality of SMU through examples of model updating for an 18-DOF model and a concrete building frame model.
ADVANCES IN STRUCTURAL ENGINEERING
(2022)
Article
Engineering, Mechanical
Difei Wu, Mengyuan Zeng, Hongduo Zhao, Yang Wang, Yuchuan Du
Summary: This paper introduces a novel method for detecting debonding beneath concrete pavement using transmissibility function analysis, demonstrating its feasibility through theoretical deduction, finite element analysis, and field tests. The study reveals the crucial influence of measurement node layout and frequency range on the analysis results, with denser node arrays and lower noise levels contributing to more precise debonding localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Construction & Building Technology
Dan Li, Yang Wang
Summary: This paper discusses and compares several constrained UKF methods for parameter identification of structural systems, and evaluates their effectiveness and robustness through numerical simulation and experimental data. The results demonstrate that with properly handling constraints, the identification accuracy can be improved.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Mechanical
Yu Otsuki, Son Thanh Nguyen, Hung Manh La, Yang Wang
Summary: This paper presents a steel-climbing bicycle robot with an ultrasonic sensing device for autonomous thickness measurement of steel bridge members. The robot is equipped with magnetic wheels and a compact ultrasonic sensing device capable of high-speed analog-to-digital conversions. It also carries a dual element transducer, a gel couplant dispenser, a position tracking sensor, and a camera. The developed system has been validated in various tests and a supplementary video is provided for demonstration.
JOURNAL OF ENGINEERING MECHANICS
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Yu Otsuki, Peter Lander, Yang Wang
Summary: This paper describes the recent development of ultrasonic thickness measurement for the Martlet wireless sensing system, using a newly developed ultrasonic daughter board with improved sampling frequency, and successfully conducting thickness measurement tests on steel and rusty steel plates.
2021 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2021)
(2021)
Article
Engineering, Civil
Zhichao Wang, Yang Wang
Summary: This research explores bridge weigh-in-motion using recurrent neural networks, training the network by building a finite element bridge model and simulating thousands of different vehicle formations. Test results show that the network achieves higher accuracy in estimating axle weights compared to conventional methods like moving force identification.
SMART STRUCTURES AND SYSTEMS
(2021)
Proceedings Paper
Engineering, Mechanical
Xi Liu, Yang Wang
MODEL VALIDATION AND UNCERTAINTY QUANTIFICATION, VOL 3
(2020)
Article
Engineering, Multidisciplinary
Dan Li, Yang Wang
JOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS
(2019)
Proceedings Paper
Engineering, Aerospace
Xi Liu, Xinjun Dong, Yang Wang, Lauren Stewart, Jacob Dodson, Bryan Joyce
SENSORS AND INSTRUMENTATION, AIRCRAFT/AEROSPACE AND ENERGY HARVESTING, VOL 8
(2019)
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)
