Mean Square Response Analysis of Highway Bridges Under a Series of Moving Vehicles

Okabayashi, Takatoshi; Yamaguchi, Zituhiro

doi:10.2208/jscej1969.1983.334_1

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…However, the modal FRFs, under ideal conditions, should theoretically be the same. The system parameters are selected with reference to previous publications with modification [ 37 ]. The road bridge specified by Okabayashi and Yamaguchi [ 37 ] has span lengths of 20 m to 70 m, and the bridge parameters are adopted according to the design specifications in Japan.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…The system parameters are selected with reference to previous publications with modification [ 37 ]. The road bridge specified by Okabayashi and Yamaguchi [ 37 ] has span lengths of 20 m to 70 m, and the bridge parameters are adopted according to the design specifications in Japan. The compiled bridge models are presented in Table 2 .…”

Section: Numerical Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Estimating Bridge Natural Frequencies Based on Modal Analysis of Vehicle–Bridge Synchronized Vibration Data

Mudahemuka,

Miyagi,

Shin

et al. 2024

Sensors

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This paper presents a method for accurately estimating the natural frequencies of bridges by simultaneously measuring the acceleration vibration data of vehicles and bridges and applying modal analysis theory. Vibration sensors synchronized with GPS timing were installed on both vehicles and bridges, achieving stable and high-precision time synchronization. This enabled the computation of the bridge’s Frequency Response Functions (FRFs) for each mode, leading to a refined estimation of natural frequencies. The validity of the theory was confirmed through numerical simulations and experimental tests. The simulations confirmed its effectiveness, and similar trends were observed in actual bridge measurements. Consequently, this method significantly enhances the feasibility of bridge health monitoring systems. The proposed method is suitable for road bridges with spans ranging from short- to medium-span length, where the vehicle is capable of exciting the bridge.

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Section: Numerical Simulationmentioning

confidence: 99%

Section: Numerical Simulationmentioning

confidence: 99%

Estimating Bridge Natural Frequencies Based on Modal Analysis of Vehicle–Bridge Synchronized Vibration Data

Mudahemuka,

Miyagi,

Shin

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…The bridge is a 30 m span beam-like structure. The bridge parameters are based on a rough design process shown in the existing studies [35]. The old design procedure is adopted because old bridges are expected targets of the PRE method.…”

Section: Parameter Setting For Numerical Simulationmentioning

confidence: 99%

Numerical Verification of the Drive-By Monitoring Method for Identifying Vehicle and Bridge Mechanical Parameters

2023

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The PRE (numerical simulation-based vehicle and bridge parameter and road roughness estimation) method uses vehicle vibration data to identify the vehicle’s and bridge’s mechanical parameters and estimate road unevenness simultaneously. This method randomly assumes the mechanical parameters first. Secondly, it solves the vehicle’s IEP (input estimation problem) and the bridge’s DRS (dynamic response simulation) from the vehicle vibration data to obtain road profiles of the front and rear wheels. Repeat the random assumption of the mechanical parameters to minimize the residual between the obtained road unevenness because the road unevenness of the front and rear wheels are expected to match. To search for a better combination of the mechanical parameters, the MCMC (Monte Carlo Markov chain) algorithm is adopted in this paper. This paper also numerically simulates vehicle vibration data for the cases of the reduced-stiffness bridge model and examines whether this method can identify the position, range, and magnitude of stiffness reduction. The numerical simulation results show that bridge-stiffness reduction can be estimated reasonably.

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Effect of inclined angle on a vehicle-passenger-inclined highway bridge

修二¹,

慎一郎

2019

Transactions of the JSME (In Japanese)

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This paper presents a theoretical analysis of the dynamic interaction of a vehicle-passenger-inclined highway bridge. The mathematical vehicle-passenger model has 12 degrees of freedom: a vehicle model with four masses has six degrees of freedom, and an occupant model with four masses, which is the hinged beam model, has six degrees of freedom. The modal analysis technique using equations of motion are adapted for an inclined highway bridge. By considering both longitudinal and transverse vibrations, the governing differential equations of motion for the bridge are derived. The random roughness of an actual highway surface has been considered in the analysis. During application of the analytical system, the effects of an inclined angle of the highway bridge and speed parameter on vehicle and human dynamic behavior are investigated. The inclined angle is examined in the range of -20° to +20°, and the speed parameter is examined in the range of 0.02-1.5. These factors are found to exert significant influence on the mechanical behavior of vehicles, passenger, and inclined highway bridge. Some results are presented in the form of parametric plots.

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Mean Square Response Analysis of Highway Bridges Under a Series of Moving Vehicles

Cited by 4 publications

References 8 publications

Estimating Bridge Natural Frequencies Based on Modal Analysis of Vehicle–Bridge Synchronized Vibration Data

Estimating Bridge Natural Frequencies Based on Modal Analysis of Vehicle–Bridge Synchronized Vibration Data

Numerical Verification of the Drive-By Monitoring Method for Identifying Vehicle and Bridge Mechanical Parameters

Effect of inclined angle on a vehicle-passenger-inclined highway bridge

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