Nondestructive Experimental Measurement, Model Updating, and Fatigue Life Assessment of Çarşamba Suspension Bridge

Günaydın, Murat; Sunca, Fezayil; Altunışık, Ahmet Can; Ergün, Mustafa; Okur, Fatih Yesevi

doi:10.1061/(asce)be.1943-5592.0001818

Cited by 10 publications

(5 citation statements)

References 54 publications

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“…In the 2 nd case, the model is prepared for "Transient Analysis" (Günaydin et al, 2022). Transient Analysis is performed for three speeds, i.e.…”

Section: Methodsmentioning

confidence: 99%

Dynamic Response Analysis of Simply Supported Bridge through Experimental and Numerical Modelling Approaches

Singh,

Mandal,

Dey

2024

Preprint

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In earlier days, bridges were designed with the maximum possible static load on them. In the failure of some bridge structures, it is established that dynamic load often plays a vital role in the failure of bridges. Considering this, it is established that the responses of the bridges under dynamic loading should be evaluated for prior understanding of the bridge condition. This paper reports one such case study carried out on a newly constructed bridge to understand the response of the bridge under dynamic loading. The physical experiments are carried out to monitor the response of the bridge under the dynamic loading from the movement of a 35.5 Metric Tonne (MT) vehicle weight at varying speeds. Numerical simulation of the bridge structure is also carried out using modal analysis and transient analysis methods. The response of the bridge is simulated for varying dynamic load conditions generated through vehicle speed ranging from 30 km/h to 87 km/h and the vehicle weight ranging from 35.5 MT to 106.5 MT. A generic equation for a simply supported bridge for varying speed and vehicle weight is proposed. This study, however, has the limitation of ignoring the influence of uncontrolled environmental factors such as humidity, temperature, and wind effects on bridge dynamic behaviours.

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“…In the 2 nd case, the model is prepared for "Transient Analysis" (Günaydin et al, 2022). Transient Analysis is performed for three speeds, i.e.…”

Section: Methodsmentioning

confidence: 99%

Dynamic Response Analysis of Simply Supported Bridge through Experimental and Numerical Modelling Approaches

Singh,

Mandal,

Dey

2024

Preprint

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“…Vortex-induced vibration (VIV) [ 1 , 2 ] is a common wind-induced vibration phenomenon occurring on various types of bridges generated at a lower wind speed, especially in long-span suspension bridges [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. When the frequency of vortex shedding is close to one of the bridge’s natural frequencies, VIV will happen, and the vibration amplitude of the beam will continue to increase until it reaches stability.…”

Section: Introductionmentioning

confidence: 99%

Online Collaborative Perception of Full Bridge Deck Driving Visual of Far Blind Area on Suspension Bridge during Vortex-Induced Vibration

Dan,

Zeng,

2024

Sensors

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During a vertical vortex-induced vibration (VVIV), an undulating bridge deck will affect drivers’ sightlines, causing the phenomenon of drifting and changes in the far blind area, thus presenting a potential threat to driving safety. Consequently, to ensure the safety of driving on a suspension bridge deck under VVIV, it is necessary to perceive the far blind spot caused by the occlusion of the driving sightlines under this condition, and to establish an online perception and evaluation mechanism for driving safety. With a long-span suspension bridge experiencing VVIV as the engineering background, this paper utilizes the acceleration integration algorithm and the sine function fitting method to achieve the online perception of real-time dynamic configurations of the main girder. Then, based on the configurations, the maximum height of the driver’s far blind area and effective sight distance are calculated accordingly, and the impact of different driving conditions on them is discussed. The proposed technical framework for driving safety perception in far blind spots is feasible, as it can achieve real-time estimation of the maximum height and effective distance of the far blind area, thereby providing technical support for bridge–vehicle–human collaborative perception and traffic control during vortex-induced vibration.

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“…Modal parameters, including frequencies, damping ratios, and mode shapes, reflect the stiffness, mass, and damping of a bridge, and become essential in structural model updating (Fang et al, 2022), vibration control (Xu et al, 2022), damage detection (He et al, 2019; Yang and Yang, 2017), and performance assessment (Günaydin et al, 2022). An increasing attention has been paid on effective modal identification of railway bridges in past decades.…”

Section: Introductionmentioning

confidence: 99%

High-resolution frequency domain decomposition for modal analysis of bridges using train-induced free-vibrations

Chen,

Wang,

Yao

2024

Advances in Structural Engineering

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Modal parameters are structural inherent characteristics that can be applied for revealing performance of railway bridges. Free vibration signals generated by a passage of train are commonly utilized to estimate the modal parameters of railway bridges due to their higher signal-to-noise ratios compared to random vibrations caused by ambient loads. However, since free vibration signals rapidly decay over time, the available free-vibration data is typically short-time. When using the fast Fourier transform-based spectral estimation method for modal identification from short-time vibration data, a phenomenon known as spectral leakage occurs, leading to miss-identification of some structural modes. In this study, the classical frequency domain decomposition (FDD) is improved for modal identification of railway bridges, in which the higher resolution auto-power spectral density (PSD) and cross-PSD functions are calculated through the autoregressive (AR) model-based method. The AR model-based method improves both the smoothness and resolution of the PSD functions compared to the fast Fourier transform technique. These AR model-based PSD functions are then employed in the FDD process to facilitate frequency and mode shape identification while avoiding spurious noise modes. The proposed eigenvalue fitting technique is subsequently utilized to estimate damping ratios. Numerical simulation data as well as vibration data from an actual bridge are analyzed to validate the proposed method, with a comparison made to the Welch’s PSD-based method. The results demonstrate that the modified FDD approach enables more effective identification of structural modes, even in the presence of closely-spaced modes.

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Nondestructive Experimental Measurement, Model Updating, and Fatigue Life Assessment of Çarşamba Suspension Bridge

Cited by 10 publications

References 54 publications

Dynamic Response Analysis of Simply Supported Bridge through Experimental and Numerical Modelling Approaches

Dynamic Response Analysis of Simply Supported Bridge through Experimental and Numerical Modelling Approaches

Online Collaborative Perception of Full Bridge Deck Driving Visual of Far Blind Area on Suspension Bridge during Vortex-Induced Vibration

High-resolution frequency domain decomposition for modal analysis of bridges using train-induced free-vibrations

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