Article
Engineering, Civil
M. Makki Alamdari, K. C. Chang, C. W. Kim, K. Kildashti, H. Kalhori
Summary: This paper introduces a novel metric based on transmission performance between a vehicle and a bridge, with higher sensitivity index vehicles showing superior performance in identifying bridge frequencies. Experimental validation shows successful identification of the first three vibration modes of the bridge under constant slow speed, highlighting the potential for real-world application in drive-by bridge inspection systems.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Multidisciplinary
Qingxia Zhang, Jilin Hou, Xiaoyang Hu, Li Yuan, Lukasz Jankowski, Xinhao An, Zhongdong Duan
Summary: In this study, a method for estimating vehicle parameters and road roughness using field test data was developed. The method is efficient, economical, and accurate, and its effectiveness was verified through experimental tests.
Article
Acoustics
Heng Wei, Jianwei Lu, Lei Shi, Hangyu Lu, Shengyong Ye
Summary: This paper develops a 12-degree-of-freedom dynamic model of the vehicle-road system to analyze the influence of road roughness excitation on vehicle shimmy. By using Hopf bifurcation theory and modal analysis, the stability and modal properties of the vehicle system are studied. The results show that the roll mode is crucial for vehicle stability and decreasing the front wheel track is an effective way to attenuate vehicle shimmy.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Mechanical
Yi He, Judy P. Yang, Jiuquan Chen
Summary: This study presents a method to estimate bridge frequencies, damping ratios, and mode shapes using the responses of two connected single-axle vehicles. The method involves deriving a semi-analytical solution to understand the frequency content of a contact-point residual response and back-calculating the contact-point responses from the vehicle responses. Singular spectrum analysis is then conducted to extract the bridge frequency-related components, enabling the estimation of bridge damping ratios and construction of mode shapes. The proposed method shows satisfactory accuracy in estimating the first two bridge damping ratios and constructing the first mode shape.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(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
Engineering, Civil
Jian-An Li, Dongming Feng
Summary: Bridge stay cables are prone to fatigue damage from cyclic traffic loads. However, the impact of road roughness on fatigue assessment is often disregarded, despite its role in magnifying vehicle-bridge interaction (VBI) responses. To address this gap, a framework for cable fatigue assessment considering road roughness is proposed, which includes VBI analysis accounting for road roughness, random traffic flow generation, and cable fatigue evaluation. A case study on a typical cable-stayed bridge demonstrates the effectiveness of the framework in assessing cable fatigue. Poor road surfaces are found to decrease cable fatigue life, causing up to 4.47 times more damage compared to smooth roads. Cable fatigue life reduction due to road roughness is primarily concentrated near the main towers, with minimal effect on other cables. The estimated minimum cable fatigue life is 64 years based on measured traffic volume under poor road conditions. Furthermore, the study highlights the increasing cable fatigue damage with higher traffic volume, emphasizing the importance of considering road roughness and maintaining bridge decks to prevent cable fatigue life reduction.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Ibrahim Hashlamon, Ehsan Nikbakht
Summary: In this study, the frequency identification of bridges using a moving and stationary vehicle was investigated theoretically and numerically. Unlike previous experimental studies, this research provided theoretical and numerical understanding of the stationary vehicle response due to the movement of another vehicle. The results showed that the moving vehicle provided higher visibility of bridge frequency compared to the stationary vehicle.
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
Chemistry, Multidisciplinary
Li Dai, Mi-Da Cui, Ze-Wen Zhu, Yi Li, Jiang-Rui Qiu, Xiao-Xiang Cheng
Summary: Based on a case study of Renyihe Bridge, this article reveals that with the increase in road surface roughness, the resonant responses of the bridge are significantly amplified for cases of low vehicle speed. Field experiments further reveal the related mechanism, showing that the frequency of the vehicle excitation for a bridge with sufficient road surface roughness might be closer to the low-order natural frequencies of a bridge with a decrease in vehicle speed. Therefore, the resonant responses are supposed to be more significantly amplified in cases of low vehicle speed after an increase in road surface roughness.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Mijia Yang, Chang Liu
Summary: Based on virtual simulations of vehicle-bridge interactions, this study tested the possibility of detecting stiffness reduction damages in bridges through vehicle responses in both 2D and 3D settings. Short-Time Fourier Transformation (STFT) processing of vehicle acceleration data showed strong correlation between energy band variation and damage parameters, highlighting the importance of initial entering conditions for accurate vehicle responses in the interaction models. Additionally, the study determined the offset distance required for vehicle-bridge interaction modeling under different road profile roughness levels, presenting a new integrated method for drive-by bridge inspection.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Yi He, Judy P. Yang, Zhitao Yan
Summary: This study proposes using two residual contact responses from three-connected moving vehicles to enhance the identification of bridge modal parameters. By back-calculating the contact-point accelerations from the vertical accelerations of three vehicles, the magnitudes of pavement irregularity-related frequencies can be largely reduced in the residual contact responses. The bridge frequencies are identified from the residual contact responses using FFT spectrum analysis, while the damping ratios are estimated using curve fitting and variational mode decomposition techniques.
Article
Engineering, Civil
Y. B. Yang, Yi He, Hao Xu
Summary: This paper proposes a technique for automatically identifying bridge frequencies using singularity spectrum analysis and K-means clustering, which removes subjective judgment. The technique avoids the adverse effect of vehicle frequency by processing the vehicle-bridge contact-point acceleration signal and extracts peak frequencies using principal component analysis and FFT. The peak frequencies are then grouped using K-means clustering to obtain the bridge frequencies.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2022)
Article
Multidisciplinary Sciences
Meshkat Botshekan, Erfan Asaadi, Jake Roxon, Franz-Josef Ulm, Mazdak Tootkaboni, Arghavan Louhghalam
Summary: This study develops a framework that combines vehicle dynamics, random vibration theory, and two-layer inverse analysis to estimate road roughness using in-cabin recordings of a vehicle's vertical acceleration measured by a smartphone. The framework links the frequency spectrum of the vehicle's vertical acceleration to the road roughness power spectral density for quantitative characterization of roughness-induced energy dissipation. The framework's critical crowdsourcing features and transferability were examined and its utility in identifying vehicle classes on roadway networks through big data analytics was demonstrated.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Engineering, Mechanical
Marek Szafranski
Summary: This paper discusses the methodology of defining the bridge-vehicle dynamic model based on free response measurements and identifies global modal parameters of two structures using modal identification techniques. Field tests are conducted to validate numerical models, and numerical simulations of train passing over bridges are compared with in situ measurements.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Civil
X. X. Cheng, Y. C. Liao
Summary: This article proposes a practical approach based on finite-element model updating to improve the accuracy of modal experiments using vehicle excitations. The method compensates for the adverse effects of running vehicles by identifying the equivalent vehicle weight and updating the FE model. Validated through experiments on Renyihe Bridge, the results show that the compensated modal frequencies are very close and within a small range, confirming the effectiveness of the proposed method.
Article
Acoustics
Qikai Sun, Nan Zhang, Guobing Yan, Xinqun Zhu, Xiao Liu, Wangwang Li
Summary: The free vibration characteristics of steel-concrete composite continuous beams are analyzed through Euler-Bernoulli beam theory and a modified dynamic direct stiffness method, showing that stronger interfacial interaction leads to higher natural frequency values, along with larger steel subbeam and thinner concrete slab. Additionally, the number of spans does not influence natural frequency reduction, but equal total length with equal single-span length and different ratios of side span to main span are affected, only by bending stiffness, with a reasonable ratio of side span to main span being 0.9 to 1.0.
SHOCK AND VIBRATION
(2021)
Article
Environmental Sciences
Solmaz Pourzeynali, Xinqun Zhu, Ali Ghari Zadeh, Maria Rashidi, Bijan Samali
Summary: Bridge infrastructures are at risk of degradation due to aging and excessive loading, prompting the development of a method for identifying moving loads. The proposed method shows high accuracy and robustness in numerical and experimental studies, demonstrating insensitivity to sensor placement and sampling frequencies.
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)
Article
Construction & Building Technology
Huidong Zhang, Xinqun Zhu, Yuanfeng Wang, Shu Yao
Summary: This study quantifies the equivalent friction damping ratio (EFDR) at the bearings of welded large-scale single-layer lattice domes subjected to earthquake ground motions using an approximate method based on the energy balance concept. The complex friction behavior and energy dissipation between contact surfaces are investigated by employing an equivalent modeling method.
STEEL AND COMPOSITE STRUCTURES
(2021)
