Experimental and numerical study on impact resistance of RC bridge piers under lateral impact loading

Li, R.W.; Zhou, Deyuan; Wu, Hao

doi:10.1016/j.engfailanal.2019.104319

Cited by 58 publications

(10 citation statements)

References 24 publications

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“…The flow past a square cylinder is a well-known engineering problem with multiple industrial applications in offshore platforms [28], bridge piers [29], high-rise buildings [30], or coastal engineering [31]. The state-of-the-art of this problem is well-developed with numerous numerical [32,33,34] and experimental studies [35,36,37], leading to a case that balances industry and research.…”

Section: Problem Descriptionmentioning

confidence: 99%

Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework

Gonzalez-Sieiro,

Pardo,

Nava

et al. 2024

Preprint

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We propose a method for reducing the spatial discretization error of coarse computational fluid dynamics (CFD) problems by enhancing the quality of low-resolution simulations using a deep learning model fed with high-quality data. We substitute the default differencing scheme for the convection term by a feed-forward neural network that interpolates velocities from cell centers to face values to produce velocities that approximate the fine-mesh data well. The deep learning framework incorporates the open-source CFD code OpenFOAM, resulting in an end-to-end differentiable model. We automatically differentiate the CFD physics using a discrete adjoint code version. We present a fast communication method between TensorFlow (Python) and OpenFOAM (c++) that accelerates the training process. We applied the model to the flow past a square cylinder problem, reducing the error to about 50% for simulations outside the training distribution compared to the traditional solver in the x- and y-velocity components using an 8x coarser mesh. The training is affordable in terms of time and data samples since the architecture exploits the local features of the physics while generating stable predictions for mid-term simulations.

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Section: Problem Descriptionmentioning

confidence: 99%

Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework

Gonzalez-Sieiro,

Pardo,

Nava

et al. 2024

Preprint

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show abstract

“…Under the action of the main peak value of the impact force on the beam body, the beam immediately obtains a downward acceleration, while simultaneously generating an upward inertial force. In the local response stage, the impact force is basically resisted by the inertial force (Li et al, 2020). Therefore, due to the existence of inertial effect, the beam basically does not deform at this stage, and the mid-span displacement and longitudinal reinforcement strain respond only minimally.…”

Section: Dynamic Damage Mechanism Of Sfsrcbmentioning

confidence: 99%

“…Zhao and Yi (2015), based on the momentum theorem and considering the beam-hammer mass ratio, created a formula and method for calculating the maximum mid-span deflection suitable for ordinary small beams. Li et al (2020) applied experimental and numerical analysis methods to simulate the impact scenario of vehicles on piers, and proposed the residual displacement of impact point as the criterion for evaluating the impact resistance of RC piers. In order to intuitively reflect the damage distribution of the beam in the longitudinal direction, Zhao et al (2019) established a numerical model of reinforced concrete beam under impact, and proposed a damage evaluation method based on section damage factor.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Property Test and Damage Evaluation Analysis of Steel Fiber Stainless-Steel Reinforced Concrete Beams (SFSRCBs) under Impact Load

Zhou

Wang

Deng³

et al. 2022

Lat. Am. j. solids struct.

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In this paper, the ultra-high drop hammer impact test system is adopted for the vertical impact experiment on six SFSRCBs with steel fiber volume fraction of 2.0% and build the relevant numerical model. The research variables mainly include impact energy, impact mass and cumulative impact mode. The results show that, under a single equal energy impact, with the increase of the impact speed, the crack distribution of the specimen gradually tends to the mid-span local position. Compared with the impact mass, the impact speed has a greater effect on the failure mode, deformation resistance and deformation recovery ability of SFSRCBs. When the total cumulative impact energy is the same as the single impact energy, then the overall damage of the specimen caused by high-mass low-velocity cumulative impact is less significant than that caused by low-mass high-velocity cumulative impact. Combined with the finite element analysis, the calculation formula of the maximum deflection of SFSRCB under impact load is obtained. Finally, the calculation method of the impact damage evaluation factor of SFSRCBs is proposed.

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“…In 2020, Li et al [3] presented an experimental and numerical study on the impact process, damage and failure mode, dynamic behavior, and impact resistance of reinforced concrete (RC) piers under lateral impact loading. Using a horizontal impact system, a series of simplified truck model collision tests on the square sectional RC piers were performed, in which two main design parameters, i.e., impact velocity and the longitudinal reinforcement ratio, were evaluated.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Concrete and Steel Jacket Methods for Reinforcing A Concrete Bridge Pier by Numerical and Experimental Studies

Faghihmaleki

2021

MST

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Various rehabilitation and strengthening procedures have been developed in recent decades. A study to determine which methods can be implemented to increase the useful life of the bridge before strengthening must be performed. In this study, the seismic behavior of a reinforced concrete bridge pier with dimension 3.5 × 3.5 m, which was reinforced by two steel and a concrete jacket, was investigated. Nonlinear geometric models and materials were analyzed to estimate the seismic parameters of the pier. Results show an increase in energy absorption, ultimate strength, and ductility for the steel jacket, as well as a greater increase in the concrete jacket. Using a box concrete jacket with a dimension of 3.5 × 3.5 m, the increase in percentages of energy absorption, ultimate strength, and ductility were 38, 14, and 13, respectively. Therefore, the concrete jacket enhances the mentioned parameters.

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Experimental and numerical study on impact resistance of RC bridge piers under lateral impact loading

Cited by 58 publications

References 24 publications

Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework

Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework

Mechanical Property Test and Damage Evaluation Analysis of Steel Fiber Stainless-Steel Reinforced Concrete Beams (SFSRCBs) under Impact Load

Comparison of Concrete and Steel Jacket Methods for Reinforcing A Concrete Bridge Pier by Numerical and Experimental Studies

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