Spectra of Road Surface Roughness on Bridges

Honda, Hideyuki; Kajikawa, Yasuo; Kobori, Tameo

doi:10.1061/jsdeag.0006035

Cited by 81 publications

(17 citation statements)

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“…However, actual bridge deck profiles vary from bridge to bridge and are difficult to obtain because of moving traffic. Research shows that the normal bridge deck roughness is good and that road profile can be approximated by treatment with a stationary Gaussian random process (6,13,16,17 ). A field inspection shows that the riding surfaces of both the Arlington Bridge and Veteran's Memorial Bridge at approaches, bridge decks, and expansion joints are smooth.…”

Section: Road Profile Modelmentioning

confidence: 99%

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Dynamic Test and Analysis of Curved Steel Box Girder Bridges

Huang

2005

Transportation Research Record: Journal of the Transportation R

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This paper presents experimental and analytical impact factors for two existing curved steel box girder bridges. A Florida Department of Transportation test truck with a total weight of 468.8 kN applied the dynamic loading. The truck speed was incrementally increased from crawl to design speed. To evaluate the test results, the truck was simulated as a nonlinear vehicle model with 15 degrees of freedom. The bridge deck surface was assumed to be good and was simulated as a random process. Test and analytical results show that the impact factors of torsion are normally less than 30%, as are the impact factors of bending moment for bridges with span lengths less than 39 m. The impact factors of vertical shear are generally less than 15%, as are the impact factors of bending moment for bridges with span lengths greater than 50 m. The current AASHTO Guide Specifications for Horizontally Curved Highway Bridges appears to overestimate the dynamic loading of curved steel box girder bridges, especially for bridges with span lengths greater than 50 m. The research results are instructive and applicable to both bridge design and bridge load rating.

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Section: Road Profile Modelmentioning

confidence: 99%

“…S(ω i ) = power spectral density function, which is used to describe the road surface roughness (6,15,16); ω i = circular frequency = 2πφ i ; θ i = random number uniformly distributed from 0 to 2π; and N = 200 in this study.…”

Section: Road Profile Modelmentioning

confidence: 99%

Dynamic Test and Analysis of Curved Steel Box Girder Bridges

Huang

2005

Transportation Research Record: Journal of the Transportation R

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“…To this end, numerical investigations have been carried out on the vehicle-bridge interaction (VBI) problem by many researchers. Some of their work contributes to improved modeling of vehicle (Fafard et al, 1997;Cantero et al, 2010), bridge and road surface roughness (Dodds and Robson, 1973;Honda et al, 1982), while others concentrate on developing more practical and reliable VBI algorithms that can be easily employed for vehicle-induced response prediction (Henchi et al, 1998;Yang and Fonder, 1996;Yang and Lin, 1995).…”

Section: Introductionmentioning

confidence: 99%

Towards an efficient method of predicting vehicle-induced response of bridge

Sun

Zou

2016

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Purpose The purpose of this paper is to present a practical and efficient iterative method for predicting vehicle-induced response of bridge. Design/methodology/approach The vehicle-bridge interaction (VBI) problem is generalized mathematically and a computational algorithm for VBI is proposed. This method rests on an iterative procedure, which utilizes the whole interaction process for iteration. By this means, vehicle and bridge become totally uncoupled and are only linked by the contact force history. This method provides flexibility to choose simplified or refined vehicle and bridge models for the VBI problem, as well as open options for different commercial FEM software without specialized codes. Findings The method is verified through two numerical examples. The first example uses a simple 1D beam bridge model, which illustrates the procedure of this method and demonstrates its fast convergence in several iterations. The second example employs a realistic full 3D finite element bridge model, which shows that the method easily connects complex FEM bridge models in ABAQUS with a calibrated vehicle model in Matlab. The dynamic response of the bridge is reliably calculated within only a few iterations. Originality/value The proposed iterative method separates vehicle and bridge into independent subsystems in the computational process, thus providing more flexibility to utilize commercial FEM softwares. Its efficiency is realized through choosing the whole interaction force process for iteration, which considerably reduces the iteration steps.

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“…Despite the availability of high-speed computers, most of the methods used today for analyzing bridge vibration problems are essentially based on Inglis's or Hillerborg's early techniques. Relevant publications are by Saller (1921), Jeffcott (1929), Steuding (1934Steuding ( , 1935, Honda et al (1982), Leonard (1982), Gillespi et al (1993), Green and Cebon (1994), Green et al (1995), Zibdeh and Reckwitz (1996), Lee (1996), Michaltsos et al (1996), Xu and Genin (1997) , Foda and Abduljabbar (1998), and Michaltsos (2001Michaltsos ( , 2002.…”

Section: Introductionmentioning

confidence: 99%

Bouncing of a Vehicle on an Irregularity: A Mathematical Model

Michaltsos

2009

Journal of Vibration and Control

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This paper leads with the phenomenon of the bouncing of a vehicle due to an irregularity being on a road or on a bridge deck. Attention is focused on the determination of the critical velocity for which the vehicle loses touch with the road's or the bridge-deck's surface following a missile's orbit and then striking the road or the bridge during landing. If the vehicle moves with a velocity greater than the critical one, we determine the corresponding time (and thus the point of the bridge) at which touch is lost. Afterwards, we determine also the landing point of the vehicle. Solving firstly the above problem for a vehicle moving on a road, it is easy next to proceed to the solution of the same problem for a vehicle moving on a bridge. The theoretical formulation is based on a continuous approach in addition to the use of a two degrees of freedom model associated with the mass of the moving load.

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Spectra of Road Surface Roughness on Bridges

Cited by 81 publications

References 0 publications

Dynamic Test and Analysis of Curved Steel Box Girder Bridges

Dynamic Test and Analysis of Curved Steel Box Girder Bridges

Towards an efficient method of predicting vehicle-induced response of bridge

Bouncing of a Vehicle on an Irregularity: A Mathematical Model

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