Relevance of a complete road surface description in vehicle–bridge interaction dynamics

Oliva, Javier; Ruigómez, José María Goicolea; Antolín, Pablo; Suárez, Miguel Ángel Astiz

doi:10.1016/j.engstruct.2013.05.029

Cited by 59 publications

(41 citation statements)

References 23 publications

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“…These experiments show that the most important parameter to affect the dynamic vehicle/bridge deck interaction force was the road's surface roughness. Olivia et al came to the same conclusion [24] as did Deng and Cai [12] for a 1-axle 2-DOF vehicle model and for a 2-axle vehicle model with 4 DOF moving at a constant speed along a simply supported beam. Dinga [21] reported an increase of DAF of 25 to 39% due road surface roughness (DAF was maximum at lower speeds).…”

Section: Orthotropic Bridge Decksupporting

confidence: 55%

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Dynamic amplification of a multi-span, continuous orthotropic bridge deck under vehicular movement

Rezaiguia

Ouelaa

Laefer

et al. 2015

Engineering Structures

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__________________________________________________________________________The response of a multi-span, continuous orthotropic bridge deck during truck loading is investigated to better understand the dynamic interaction between moving vehicles and highway bridge decks. The present study is based on a recently published, semi-analytical approach for free vibration in which the modal superposition method incorporates intermodal coupling. Herein, the bridge deck is modeled as a jointless, multi-span, orthotropic plate, and the vehicle is modeled as a dynamic, multi-body system. The road surface roughness randomness is modeled as a normal, stationary, random process described by its PSD. The coupled equations of the motion vehicle/bridge deck are solved by Newmark's method. An iterative process in each time step is performed to find the equilibrium between the bridge deck and vehicle tires using an uncoupled algorithm previously developed by other authors.Two numerical application examples are presented: an isotropic and an orthotropic, threespan bridge deck both crossed by an AASHTO-based vehicle model. In example one, the intermodal coupling affects the dynamic deflection of bridge deck but only slightly. Example two demonstrates that the loading mode and the vehicle speed have a significant influence on the Dynamic Amplification Factor. However, the most important parameter to affect the 2 dynamic vehicle/bridge deck interaction force is the road's surface roughness, as has been shown for other bridge types under various load conditions. Key-words:

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Section: Orthotropic Bridge Decksupporting

confidence: 55%

“…The work by Oliva et al [24] Despite this significant body of work, what remains poorly defined is the dynamic truckbridge interaction in the presence of random irregularities for a jointless, multi-span, composite bridge, which is the topic of this paper. The bridge deck is modeled as an orthotropic, three-span plate.…”

Section: Introductionmentioning

confidence: 99%

Dynamic amplification of a multi-span, continuous orthotropic bridge deck under vehicular movement

Rezaiguia

Ouelaa

Laefer

et al. 2015

Engineering Structures

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“…[1][2][3] The two-dimensional (2D) models are usually implemented with the grillage method 4 or the four-node plate/shell elements. 5,6 The three-dimensional (3D) models generally adopt the eight-node solid elements 7,8 or are composed of an assemblage of shell and beam elements. 9,10 The vehicle is generally simulated as one of the following: moving-force, movingmass, a spring-damper-mass (SDM) system and a full-scale¯nite-element (FE) model.…”

Section: Introductionmentioning

confidence: 99%

“…18 Road roughness is recognized as one of the most important excitation sources in the vehicle-bridge interacted vibrations. Some researchers considered the di®erence of the roughness pro¯les in the transverse direction, 5,6,19 while others assumed that the roughness pro¯les are fully-correlated (FC). 8 To date, little work has been devoted to compare the accuracy e±ciency and suitability of di®erent VBI models comprehensively for di®erent circumstances.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Different Numerical Models for Vehicle–Bridge Interaction Analysis

Zou

Deng

Guo

et al. 2016

Int. J. Str. Stab. Dyn.

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In this paper, a comprehensive comparative study on several existing vehicle-bridge interaction (VBI) models is presented with the aim to provide a useful reference to the selection of vehicle and bridge models when conducting the VBI simulation. A simply-supported slab-on-girder highway bridge and the AASHTO HS20-44 vehicle are adopted in the numerical analysis. The bridge is modeled as an Euler-Bernoulli beam, grillage, plate-and-beam system and solid-element system, respectively, while the vehicle is modeled as a moving-force, moving-mass and spring-damper-mass (SDM) system, respectively. Other factors, including the road roughness and the contact condition between the vehicle tire and bridge, are also considered. The e®ects of di®erent VBI models on the bridge responses are studied and the results from di®erent models are compared in terms of their accuracy, e±ciency and suitability. The results show that the accuracy of di®erent types of bridge responses calculated varies with the number of bridge vibration modes used in the simulation. It is also found that the type of element used in the bridge model and the vehicle tire model both have a larger impact on the bridge acceleration than bridge de°ection.

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“…The existence of road roughness may cause a higher level of amplitude of excitation at the vehicle-related frequencies than the bridge-related ones making it difficult to identify the bridge frequencies (Yang et al 2012a). Oliva et al (2013) proposed a method to generate parallel road profile pairs to define a complete surface description for vehicle-bridge interaction dynamics. Two connected vehicles were used to reduce the blurring effect of road surface roughness by subtracting the response spectrum obtained from one moving vehicle from the other one (Yang et al 2012b).…”

Section: Structural Identification Under Trafficmentioning

confidence: 99%

Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

Zhu

Law

2015

Advances in Structural Engineering

133

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The use of the vehicle-bridge interaction (VBI) data for structural health monitoring has received considerable interest in the last decade. Compared with the traditional bridge health monitoring, the VBI based approach allows the target bridges to be monitored or assessed under operating conditions. The VBI system has time-variant features and the vehicle can serve as a moving exciter and a mobile sensor in the system. Many bridge damage identification techniques based on VBI have been developed, and they could be divided into three categories, namely, technique based on the bridge responses, technique based on the vehicle responses and technique based on both the vehicle and bridge responses. This paper presents a review on the structural health monitoring based on VBI and the challenges for its general implementation in practice.

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Relevance of a complete road surface description in vehicle–bridge interaction dynamics

Cited by 59 publications

References 23 publications

Dynamic amplification of a multi-span, continuous orthotropic bridge deck under vehicular movement

Dynamic amplification of a multi-span, continuous orthotropic bridge deck under vehicular movement

Comparative Study of Different Numerical Models for Vehicle–Bridge Interaction Analysis

Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

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