Article
Engineering, Electrical & Electronic
Yongchun Miao
Summary: This paper proposes a novel automatic instantaneous frequency (IF) estimator for multicomponent signals with a variable number of components in noise. An extended synchrosqueezing transform is developed to achieve maximum energy concentration along the IF by combining fractional spectrograms. The IF estimation is then achieved using a novel automatic ridge extraction (AREA) algorithm from the time-frequency representation.
Article
Engineering, Mechanical
Lian Lu, Wei-Xin Ren, Shi-Dong Wang
Summary: The paper introduces the concept of fractional Fourier transform and its application in processing non-stationary signals in the time-frequency domain. Through deriving the time-frequency representation of fractional Fourier transform and studying the window parameter properties, an algorithm based on fractional Fourier transform for instantaneous frequency identification is proposed. The numerical and experimental results demonstrate the robustness of this method in handling non-stationary signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Yongchun Miao, Zeyad A. H. Qasem, Yingsong Li
Summary: This paper proposes a novel adaptive directional ridge prediction tracker for the instantaneous frequency estimation of signals with intersecting components. An instantaneous rotating operator is defined to provide direction information at each time and frequency point, leading to an accurate prediction of the ridge. The proposed tracker utilizes time-frequency amplitude and direction information jointly to tune the predicted ridge. The performance of the algorithm is demonstrated against benchmarks using synthetic and real signals.
Article
Engineering, Civil
Y. B. Yang, M. Yang, Ding-Han Liu, Y. H. Liu, H. Xu
Summary: This paper derives a simple formula for calculating the modal damping ratio of a bridge by studying the correlation between the instantaneous amplitudes of the front and rear contact responses of a two-axle test vehicle. The reliability of the derived formula was verified in a numerical study.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Multidisciplinary Sciences
Dongmei Guo, Zhiquan Xiao, Xingjun Qi, Xvfa Sun
Summary: The dynamic response of passing vehicles is crucial for the safety monitoring of highway bridges to identify beam bridge damage. Numerical simulations were conducted using the vehicle-bridge coupling vibration theory and the indirect measurement method. The identified instantaneous amplitude square (IAS) value detected the damage location of the bridge. This paper provides a theoretical reference for the application of IAS motion sensing to identify the damage location indirectly in structural health monitoring for bridges.
Article
Chemistry, Multidisciplinary
Zhaozhi Wu, Nan Zhang, Jinbao Yao, Vladimir Poliakov
Summary: With the increasing speed of trains, the impact of train-induced vibration on bridges through the track has become more prominent. This study adopts continuous wavelet transform to analyze the resonant response of bridges and compare it with the non-resonant cases. The results show that resonance and quasi-resonance can significantly enhance the bridge response, while the staggered domination between steady-state and transient response is the main phenomenon for non-resonant bridges.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Zhen Fang, Jiayong Yu, Xiaolin Meng
Summary: The proposed method based on improved empirical wavelet transform was able to accurately identify the modal parameters of bridge structures using GNSS data. Experimental validations showed the feasibility and reliability of this method in identifying the dynamic deformation of bridges.
Article
Chemistry, Multidisciplinary
Chengjun Tan, Hua Zhao, Nasim Uddin, Banfu Yan
Summary: This paper proposes a wavelet-based approach to detect bridge defects using wavelet energy, and develops a damage index to localize the damage. Numerical simulation results show that the proposed approach performs well even when considering road roughness. Furthermore, the effects of other factors on this approach are investigated.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Freddy Alejandro Chaurra-Gutierrez, Claudia Feregrino-Uribe, Julio Cesar Perez-Sansalvador, Gustavo Rodriguez-Gomez
Summary: We propose the first quantum version of the one-dimensional integer wavelet S-Transform (QIST). The QIST is based on a new Quantum Block Representation by Basis States (QBRBS) and a quantum rounding operator that avoids nonlinearities. Complete quantum circuits for addition, subtraction, and halving operations are developed with polynomial quantum complexity and constant time complexity. The experimental results on MATLAB and Qiskit coincide with the theoretical results of the classical version. This new quantum transform enables new developments in information hiding, compression, and IoT applications.
INFORMATION SCIENCES
(2023)
Article
Engineering, Civil
Yi He, Judy P. Yang
Summary: This study proposes an efficient method to extract bridge frequencies using the acceleration residual spectrum obtained by the front and rear vehicle-bridge contact points in a two axle vehicle. The numerical results show that this method achieves better resolution of bridge frequencies compared to existing methods, and can clearly extract the first three or four bridge frequencies regardless of different bridge boundary conditions.
ENGINEERING STRUCTURES
(2022)
Article
Automation & Control Systems
Yue Hua, Xiaotong Tu, Fucai Li, Yanping Zhu, Jing Lu
Summary: The instantaneous frequency (IF) is an important feature for analyzing non-stationary signals. Extracting multiple, crossing, and discontinuous IF ridges simultaneously is a challenging task. To address this issue, an adaptive IF ridge extraction method is proposed, which can effectively extract multiple, crossing, and discontinuous IF ridges.
Article
Engineering, Electrical & Electronic
Xiaolong Wang, Guiji Tang, Tai Wang, Xiong Zhang, Bo Peng, Longjiang Dou, Yuling He
Summary: The study proposes an innovative diagnostic framework based on LGAEWT and PIED for extracting periodic impacts from original vibration signals, identifying defects, and improving accuracy in bearing fault detection. The feasibility and effectiveness of this framework have been validated through experimental signals and engineering cases, demonstrating its potential for enhancing fault detection under low SNR environments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Civil
Yazhou Qin, Yong Fan
Summary: This study investigates the variations in the natural frequency of the Humber Bridge and presents the waveforms of individual vibration modes using acceleration response data. Three synchrosqueezed transform analysis methods were employed to process the data and identify suitable techniques for real-world applications. The results show a less than 5% change in the bridge's vertical natural frequency, with mode 1 exhibiting an 11% variation. The study also demonstrates the feasibility of synchrosqueezed transform methods for accurately tracking the bridge's frequency variations.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Engineering, Electrical & Electronic
Jun Shi, Gong Chen, Yanan Zhao, Ran Tao
Summary: The objective of this paper is to overcome the deficiency of the synchrosqueezed wavelet transform (SSWT) in dealing with signals with fast varying instantaneous frequencies by introducing the fractional wavelet transform (FRWT). A synchrosqueezed FRWT (SSFRWT) is proposed, which shares many properties with SSWT while offering new features. The theoretical analysis of SSFRWT, including derivation of its basic properties, is presented. The theoretical derivations are validated through simulations.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Article
Geochemistry & Geophysics
Naihao Liu, Teng Huang, Jinghuai Gao, Xiudi Jiang, Fangyu Li
Summary: Seismic instantaneous frequency (IF) is widely used in seismic interpretation and stratigraphy analysis. However, the Hilbert transform (HT)-based methods are sensitive to noise in field data. In this study, we propose a workflow to extract local IF and demonstrate its stability in describing superposed sands.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Civil
Ning An, Huidong Zhang, Xinqun Zhu, Fei Xu
Summary: A new method is proposed in this paper to efficiently and reliably assess the probability of failure of single-layer lattice domes under earthquake ground motions, taking into account uncertainties. By integrating different methods, the method can automatically capture the instability points of the domes.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2021)
Article
Construction & Building Technology
Wenkui Dong, Wengui Li, Xinqun Zhu, Daichao Sheng, Surendra P. Shah
Summary: Multifunctional cementitious composites with integrated self-sensing and hydrophobicity capacities were developed and investigated using conductive graphene nanoplate (GNP) and silicone hydrophobic powder (SHP). The highest compressive and flexural strengths were achieved with 1% SHP and 2% GNP, while water absorption decreased significantly with SHP content. The water contact angle initially increased and then decreased with the dosages of GNP and SHP.
CEMENT & CONCRETE COMPOSITES
(2021)
Article
Construction & Building Technology
Jianying Ren, Bing Zhang, Xinqun Zhu, Shaohua Li
Summary: A new two-step approach using Support Vector Machine is developed for damaged cable identification in a cable-stayed bridge. The approach includes constructing a Damaged Cable Identification Machine (DCIM) and a Damage Severity Identification Machine (DSIM) based on support vector classification and regression respectively. The proposed method is verified using a field cable-stayed bridge and has shown good generalization capability and anti-noise capability.
ADVANCES IN STRUCTURAL ENGINEERING
(2022)
Article
Engineering, Geological
Huidong Zhang, Ning An, Xinqun Zhu
Summary: This paper presents an efficient solution for the dynamic reliability problems of super-large-scale structures by using the stochastic finite element method. The results show that the proposed methods are highly efficient and reliable for super-large-scale structures.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2022)
Article
Construction & Building Technology
Jiantao Li, Xinqun Zhu, Jian Guo
Summary: The method suppresses the vehicle response component and reduces the effect of road surface roughness to enhance bridge modal identification by extracting components related to bridge vibration.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Environmental Sciences
Solmaz Pourzeynali, Xinqun Zhu, Ali Ghari Zadeh, Maria Rashidi, Bijan Samali
Summary: This study proposes a method for simultaneous identification of moving loads and structural damage while considering factors such as road roughness. Results show that the method is able to detect damage with at least three sensors, and is not sensitive to sensors location, vehicle speed, and road roughness level.
Article
Construction & Building Technology
Jiantao Li, Xinqun Zhu, Jian Guo
Summary: This paper presents a new method based on successive variational mode decomposition (SVMD) to extract the dynamic components of a bridge and estimate its modal parameters. The effectiveness and feasibility of the proposed method are investigated through numerical analysis and experimental tests.
ADVANCES IN STRUCTURAL ENGINEERING
(2022)
Article
Architecture
Shujie Qin, Na Yang, Xinqun Zhu, Zhijia Wang
Summary: This paper investigates the influence of Queti inclination on the performance of Tibetan timber beam-column joint and proposes an analytical model for prediction. Experimental verification and a parametric study reveal that material property, Queti dimensions, and dowel height all affect the load-carrying capacity of the joint.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2023)
Article
Engineering, Civil
Jiantao Li, Jian Guo, Xinqun Zhu, Yang Yu
Summary: This study proposes a new method based on parameter-optimized VMD to extract the nonlinear dynamic characteristics from bridge responses. Through experimental and numerical simulations considering bridge damage and vehicle-bridge interaction, the dynamic properties of the bridge model are successfully identified, and the extracted instantaneous frequency is proven to be a potential indicator of bridge damage.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Engineering, Civil
Huidong Zhang, Yaqiang Zhang, Xinqun Zhu, Hui Wang, Yafei Song
Summary: The global time-dependent performance analysis of structural systems has become a topic of interest for researchers. The conventional finite element analysis technique is computationally intensive in evaluating the time-dependent performance of structures with multiple variables. This paper proposes a new hybrid method that integrates a surrogate model with subset simulation to evaluate the time-dependent performance of large-scale complex structures subjected to earthquakes. The results demonstrate that the surrogate models have high accuracy in estimating extreme structural deformations compared to the finite element method. The hybrid method is efficient and accurate for global time-dependent reliability analysis. Additionally, the paper conducts global sensitivity analysis and evaluates the importance of variables over the life cycle using surrogate models. Numerical examples show that the method is highly efficient and accurate in quantifying uncertainty in the time-dependent performance of large-scale complex structures.
ENGINEERING STRUCTURES
(2022)
Article
Construction & Building Technology
Faraz Sadeghi, Mohsen Mousavi, Xinqun Zhu, Maria Rashidi, Bijan Samali, Amir H. Gandomi
Summary: This paper presents a novel method for detecting damage in steel-concrete composite beams by using variational mode decomposition (VMD) of shear slip data. The results show that the proposed method is successful in detecting damage and can be considered as a reliable and robust technique.
JOURNAL OF STRUCTURAL ENGINEERING
(2023)
Article
Engineering, Civil
Saeid Talaei, Xinqun Zhu, Jianchun Li, Yang Yu, Tommy H. T. Chan
Summary: In this research, a novel transfer learning-based approach is presented for identifying the location of damage in concrete bridges utilizing the time-frequency characteristics from dynamic responses of the bridge under moving vehicles.
Article
Engineering, Civil
Jiajia Hao, Xinqu Zhu, Yang Yu, Chunwei Zhang, Jianchun Li
Summary: This study proposes an updated loss function specifically designed for deep-learning-based structural damage detection in structural health monitoring. By adapting the coefficients of the loss function, the deep learning network can focus on damage severity identification and avoid unnecessary iterations on damage localization. Experimental results demonstrate that the proposed method achieves faster convergence and improved performance through data augmentation and feature extraction.
SMART STRUCTURES AND SYSTEMS
(2022)
Article
Construction & Building Technology
Kai Q. Sun, Nan Zhang, Qun X. Zhu, Xiao Liu
Summary: An exact dynamic analytical method for free vibrations of continuous partial-interaction composite beams based on the Timoshenko beam theory is proposed in this study. The method considers the independent shear deformations and rotary inertia of sub-beams, leading to improved accuracy of eigenfrequencies, especially for higher order modes. The study also presents an exact analytical solution for the simply supported case and proposes an approximate expression for the fundamental frequency of continuous partial-interaction composite beams, which has practical engineering applications.
STEEL AND COMPOSITE STRUCTURES
(2022)
