Additional damping effect on bridges because of vehicle-bridge interaction

Stoura, Charikleia D.; Dimitrakopoulos, Elias G.

doi:10.1016/j.jsv.2020.115294

Cited by 39 publications

(42 citation statements)

References 27 publications

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“…The present study extends the previous work of the authors [21,26], to the case of multi-degree of freedom (MDOF) vehicle-MDOF bridge systems, representative of practical (conventional and high speed) trainbridge systems. The study decouples the VBI dynamics, in the vertical plane, through an asymptotic expansion analysis of the response of the coupled system [28], and proposes decoupling formulations applicable to any bridge type.…”

Section: Introductionsupporting

confidence: 68%

“…is the impedance ratio of the primary suspension system of the vehicle [26], where m B ω B is the bridge's mechanical impedance, denoting the resistance of the bridge to vibrations because of its mass [26].…”

Section: Dimensionless Description Of the Problemmentioning

confidence: 99%

“…The simplest approach is the well-known moving load approximation, which treats vehicles as moving loads on the supporting bridge [22,23]. As an improvement, Eurocode proposes combining the moving load approximation with a damping ratio, in addition to the structural damping of the bridge, to account for the favorable damping effect of VBI [20,[24][25][26]. This additional damping method (ADM) [14] applies to simply supported bridges and recommends an additional damping ratio [14] that is merely a function of the bridge's length.…”

Section: Introductionmentioning

confidence: 99%

“…This additional damping method (ADM) [14] applies to simply supported bridges and recommends an additional damping ratio [14] that is merely a function of the bridge's length. Later studies [24][25][26] showed that the ADM does not accurately estimate the additional damping effect of VBI on a bridge, as this actually depends on the dynamic characteristics of both vehicle and bridge. These studies [25,26] also offer analytical formulas to estimate the additional damping ratio for different types of bridges.…”

Section: Introductionmentioning

confidence: 99%

“…Later studies [24][25][26] showed that the ADM does not accurately estimate the additional damping effect of VBI on a bridge, as this actually depends on the dynamic characteristics of both vehicle and bridge. These studies [25,26] also offer analytical formulas to estimate the additional damping ratio for different types of bridges. Furthermore, Eurocode suggests an amplification factor ϕ to estimate the increase in the vibration of a bridge due to the irregularities in the rails [14].…”

Section: Introductionmentioning

confidence: 99%

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MDOF extension of the Modified Bridge System method for vehicle–bridge interaction

Stoura

Dimitrakopoulos

2020

Nonlinear Dyn

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This study examines the effect of vehicle–bridge interaction (VBI) on the vibration of coupled train–bridge systems and proposes a consistent approach to decouple the VBI problem; the Extended Modified Bridge System (EMBS) method. This constitutes an extension of the formerly developed, for simply supported bridges, Modified Bridge System method. The analysis considers a generic, multi-degree of freedom (MDOF) vehicle–MDOF bridge configuration, representative of a wide class of practical train–bridge systems. This approach enables the MDOF representation of the constituent VBI mechanisms on the mechanical system of the bridge. Based on an asymptotic expansion analysis of the coupled system response, the study brings forward the dominant coupling parameters and their relative importance on the bridge response. The proposed decoupling EMBS method solves the bridge independently of the vehicle by changing its mechanical system via additional damping, stiffness and loading terms. The MDOF description of these terms makes the proposed scheme appropriate for involved bridge configurations, such as continuous and arch bridges. In addition, it allows the accurate estimation of the deck acceleration of bridges, which is an important serviceability limit state. Numerical examples demonstrate the accuracy and efficiency of the EMBS method compared with the solution of the fully coupled system and other decoupling methodologies. Lastly, the proposed approach is simpler than the coupled analysis, which can be of particular importance in bridge design practice.

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Section: Introductionsupporting

confidence: 68%

Section: Dimensionless Description Of the Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MDOF extension of the Modified Bridge System method for vehicle–bridge interaction

Stoura

Dimitrakopoulos

2020

Nonlinear Dyn

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Does vehicle‐bridge interaction resemble the effect of tuned‐mass dampers on bridges during earthquakes?

Homaei,

Dimitrakopoulos

2023

ce papers

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In many seismic studies, the coupled vehicle‐bridge system is treated as a tuned‐mass damper (TMD)‐bridge system, and unsurprisingly, the vehicle usually reduces the seismic bridge response. The current study challenges this common belief. To this end, it investigates the influence of running vehicles on the seismic performance of bridges. Specifically, it compares the effect of vehicle‐bridge interaction (VBI) to that of a TMD on bridges subjected to earthquakes. The discussion explores the underlying physical mechanisms of VBI and TMD, and highlights the superficial similarities and the substantial differences between them. In this context, the study presents pertinent numerical simulations for a set of natural earthquake records.

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Seismic fragility analysis of railway reinforced concrete bridges considering real‐time vehicle‐bridge interaction with the aid of co‐simulation techniques

Paraskevopoulos

2022

Earthq Engng Struct Dyn

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Based on past earthquake events, bridges are the most critical and most vulnerable component of road and rail transport systems, while bridge damage is related to substantial direct and indirect losses. For the case of railway bridges, the estimation of seismic fragility is a rather complex and computationally demanding procedure given the real-time interaction of the train movement and the bridge and the different failure modes of subsystems. Considering vehicle-bridge interaction (VBI) in the frame of railway bridge fragility analysis is rather challenging, requiring analysis of the bridge and the vehicle at every time step. Partitioning of the coupled VBI problem proposing a weak formulation scheme and a set of second-order ordinary differential equations (ODEs) is performed in a way that allows for independent subsystem (vehicle and bridge) analysis. Several methodologies are available in the literature to estimate the seismic fragility of train-bridge systems that ignore the nonlinear behavior of the bridge during earthquake loading, the step-by-step VBI, and the different failure modes of critical components. The scope of this research paper is to propose a real-time component-based methodology for estimating bridge fragility curves, considering all critical components and failure modes of subsystems. The two subsystems are incorporated in a uniform software platform using the co-simulation approach and a Gauss-Seidel communication pattern. The vehicle-rail system is solved using a C++ tailor-made code, including a mathematical formulation that is based on the description of the constrained problem with a set of pure ODEs, avoiding issues related to differential-algebraic equations, constraint violation, drifts, energy loss, stability, and convergence. The vehicle subsystem is solved using multibody dynamics (MBD), while the bridge subsystem is modeled and solved using OpenSees.py. An ad-hoc software for the implementation of the probabilistic framework and the derivation of fragility curves is developed in Python. A novel methodological procedure is proposed, dully tailored to the demanding estimation of fragility curves of the coupled vehicle-bridge problem.The step-by-step solution of subsystems is performed using the co-simulation technique. Real-time interaction is allowed, considering a rational transfer of

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Additional damping effect on bridges because of vehicle-bridge interaction

Cited by 39 publications

References 27 publications

MDOF extension of the Modified Bridge System method for vehicle–bridge interaction

MDOF extension of the Modified Bridge System method for vehicle–bridge interaction

Does vehicle‐bridge interaction resemble the effect of tuned‐mass dampers on bridges during earthquakes?

Seismic fragility analysis of railway reinforced concrete bridges considering real‐time vehicle‐bridge interaction with the aid of co‐simulation techniques

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