Review of wave forces on bridge decks with experimental and numerical methods

Chen, Xuebin; Chen, Zhiwu; Xu, Guoji; Zhuo, Xianrong; Deng, Qinghua

doi:10.1186/s43251-020-00022-7

Cited by 31 publications

(2 citation statements)

References 102 publications

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“…Wave load is one of the major environmental loads acting on the sea-crossing bridge [1][2][3], which may impact the dynamic behavior of the bridge and lead to some problems such as obvious structural response [4][5][6] and fatigue [7,8]. Moreover, in the construction stage, the extreme hydrodynamic pressure caused by high waves may severely threaten the safety of the bridge and other temporary structures [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Probability Distribution Analysis of Hydrodynamic Wave Pressure on Large-Scale Thin-Walled Structure for Sea-Crossing Bridge

Pan

You

2023

JMSE

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Evaluation of hydrodynamic wave pressure on large-scale structure is an important task in the wave load design of thin-walled components used in sea-crossing bridge. This study focuses on the probability distribution of hydrodynamic wave pressure on a large-scale thin-walled structure using on-site measurement data. An in-situ observation project is conducted to collect the wave elevation and the wave pressure on a rectangle cofferdam during a tropical cyclone event. With the measured data, the wave conditions and the fluctuating wave pressure are extracted, and the corresponding statistical characteristics such as the cumulative density function (CDF) are derived. In addition, a time domain boundary element model (TDBEM) is introduced to provide the statistical comparison. Several wave conditions derived by the statistical wave indicators during the cyclone event are fed to the numerical model for pressure investigation. Based on the statistical indicators and the modeling results, the comparison of wave pressure spatial distribution between TDBEM and the on-site measurement is presented. The pressure probability distribution is presented to further reveal the differences on the statistical characteristics. The resultant bias mainly occurs in the low-exceeding-probability range on the up-wave side and the high-exceeding-probability range on the down-wave side.

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Section: Introductionmentioning

confidence: 99%

Probability Distribution Analysis of Hydrodynamic Wave Pressure on Large-Scale Thin-Walled Structure for Sea-Crossing Bridge

Pan

You

2023

JMSE

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“…Indeed, many coastal regions have sustained devastating damages to the bridges under the impact of extreme waves, e.g., more than 182 bridge spans were completely removed from their supporting structures over the gulf coast of Louisiana and Mississippi in Hurricane Katrina in 2005 and a total of 252 bridges were washed away in the 2011 Great East Japan Tsunami. The destruction of bridges may severely impact the recovery and prosperity of the coastal communities [5,6], thus it is necessary to evaluate the magnitude of wave forces and the bridge capacity before appropriate preventive measures are taken. In this regard, a method that can accurately predict the wave forces on the bridge decks promptly is essential for the stakeholders to make critical decisions prior to the landfall of hurricanes [7].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Surrogate Model for the Prediction of Solitary Wave Forces on the Coastal Bridge Decks

Wang

Xue

2021

Infrastructures

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To facilitate the establishment of the probabilistic model for quantifying the vulnerability of coastal bridges to natural hazards and support the associated risk assessment and mitigation activities, it is imperative to develop an accurate and efficient method for wave forces prediction. With the fast development of computer science, surrogate modeling techniques have been commonly used as an effective alternative to computational fluid dynamics for the establishment of a predictive model in coastal engineering. In this paper, a hybrid surrogate model is proposed for the efficient and accurate prediction of the solitary wave forces acting on coastal bridge decks. The underlying idea of the proposed method is to enhance the prediction capability of the constructed model by introducing an additional surrogate to correct the errors made by the main predictor. Specifically, the regression-type polynomial chaos expansion (PCE) is employed as the main predictor to capture the global feature of the computational model, whereas the interpolation-type Kriging is adopted to learn the local variations of the prediction error from the PCE. An engineering case is employed to validate the effectiveness of the hybrid model, and it is observed that the prediction performance (in terms of residual mean square error and correlation coefficient) of the hybrid model is superior to the optimal PCE and artificial neural network (ANN) for both horizontal and vertical wave forces, albeit the maximum PCE degrees used in the hybrid model are lower than the optimal degrees identified in the pure PCE model. Moreover, the proposed hybrid model also enables the extraction of explicit predictive equations for the parameters of interest. It is expected that the hybrid model could be extended to more complex wave conditions and structural shapes to facilitate the life-cycle structural design and analysis of coastal bridges.

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Intensity measures, fragility analysis and dimensionality reduction of rocking under far‐field ground motions

Sieber

Vassiliou

Anastasopoulos

2022

Earthq Engng Struct Dyn

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Problems for which it is impossible to make a precise causal prediction are commonly tackled with statistical analysis. Although fairly simple, the problem of a rocking block on a rigid base subjected to seismic excitation exhibits a fascinating, complex response, making it extremely difficult to validate numerical models against experimental results, thus calling for a statistical approach. In this context, this paper statistically studies the rocking behaviour of rigid blocks, excited by synthetic far‐field ground motions. A total of 50 million analyses are performed, considering rocking blocks of height ranging from 1 to 20 m and slenderness angle ranging from 0.1 to 0.35 rad. The results are used to explore the performance of different ground motion intensity measures (IMs), in terms of their ability to predict the maximum rocking rotation. By comparing the efficiency, sufficiency and proficiency of the IMs, it is found that the peak ground velocity (PGV) performs optimally. Then, fragility curves are constructed using different IMs, concluding again that the PGV is the most efficient IM. Impressively, the fragility curves for different block sizes collapse to a single curve, if a non‐dimensional IM that involves PGV and the block geometry is used. Finally, the results produced on the basis of far‐field synthetic motions are compared to results based on recorded ground motions.

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Review of wave forces on bridge decks with experimental and numerical methods

Cited by 31 publications

References 102 publications

Probability Distribution Analysis of Hydrodynamic Wave Pressure on Large-Scale Thin-Walled Structure for Sea-Crossing Bridge

Probability Distribution Analysis of Hydrodynamic Wave Pressure on Large-Scale Thin-Walled Structure for Sea-Crossing Bridge

A Hybrid Surrogate Model for the Prediction of Solitary Wave Forces on the Coastal Bridge Decks

Intensity measures, fragility analysis and dimensionality reduction of rocking under far‐field ground motions

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