Experimental and 3D numerical investigation of solitary wave forces on coastal bridges

Zhu, Deming; Dong, You

doi:10.1016/j.oceaneng.2020.107499

Cited by 49 publications

(12 citation statements)

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“…The demand, i.e., the maximum vertical wave loads acting upon the deck, can be assessed by the CFD modeling. Twodimensional CFD models are commonly adopted in fragility analysis (Li et al, 2020;Zhu and Dong, 2020). Although the two-dimensional numerical model reduces the computation cost, the analysis of the fluid-structure interaction is limited to the longitudinal axis, thus providing less accurate results.…”

Section: Vulnerability Analysis Under Hurricanesmentioning

confidence: 99%

“…Most of these bridges were simply supported and destroyed due to wave and surge forces, thus resulting in unseating of bridge superstructures (Padgett et al, 2008). Such unseating failure occurs when the uplift wave force on the deck exceeds vertical capacity (Ataei and Padgett, 2013;Mondoro et al, 2017;Zhu and Dong, 2020). Subsequently, the impact of hurricanes on coastal infrastructure and bridges is widely investigated, in terms of the vulnerability assessment (Ataei and Padgett, 2013;Saeidpour et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Copula-Based Vulnerability Analysis of Civil Infrastructure Subjected to Hurricanes

Dong

Zhu

2020

Front. Built Environ.

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Coastal civil infrastructure can be susceptible to damages caused by hurricanes throughout its service life. Vulnerability assessment is a key component in hazard risk management of civil infrastructure systems. Previously, most studies assume storm parameters are independent when computing the vulnerability of infrastructure to hurricanes. Due to the complicated interactive effects between storm parameters during hurricanes, the independent model may mis-specify such intercorrelation, thus resulting in inaccurate estimation of the probability of failure. This paper proposes a copula-based vulnerability assessment framework to investigate the impact of dependent storm parameters on the vulnerability of civil infrastructure subjected to hurricanes. The developed framework is applied to a typical simply supported bridge to compute the probability with respect to deck unseating failure under hurricane hazards. The copula approach provides superior efficiency in modeling dependency between the maximum wave height and peak water level, by separately considering marginal distributions and the joint effects. Probabilistic wave-induced load acting on the bridge deck is computed using a three-dimensional computational fluid dynamics model, incorporating uncertainties associated with hazard parameters. The effect of correlated storm parameters and the tail dependence characteristics on the bridge vulnerability is investigated by using different copula models, including Clayton, Gaussian, and Hüsler-Reiss copula functions. By incorporating dependent hazard parameters, the failure probability of the bridge may be significantly increased for non-major hurricanes (e.g., with a 50-year return period), while the failure probability under major hurricanes (e.g., with a 500-year return period) may not be severely affected.

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Section: Vulnerability Analysis Under Hurricanesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Copula-Based Vulnerability Analysis of Civil Infrastructure Subjected to Hurricanes

Dong

Zhu

2020

Front. Built Environ.

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“…A completed SHM system usually consists of 6 modules including sensory system, data acquisition and transmission system, data processing and control system, structural health evaluation system, structural health data management system, and inspection and maintenance system [6][7][8]. It can provide realtime information about structural conditions of bridges (environmental loads and status, operation loads, bridge features, and structural responses) by integrating various state-of-art technologies such as sensory technology, deep learning, big data, and machine vision [9,10]. ese valuable information can provide decision-making references for managers in maintenance and management of bridges.…”

Section: Introductionmentioning

confidence: 99%

A Computing Model for Quantifying the Value of Structural Health Monitoring Information in Bridge Engineering

Cheng

Wang

Huang

et al. 2020

Mathematical Problems in Engineering

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Structural health monitoring system can provide valuable information for improving decision-making process in maintenance and management of bridges. However, managers usually lack understanding of value of structural health monitoring information. This paper developed a computing model for quantifying the value of structural health monitoring information based on Bayesian theory. Then, the model was demonstrated and validated using a simple case and the key factors (i.e., system accuracy, reparation cost, prior probability of structural failure, and manager’s behavior pattern) influencing the value of structural health monitoring information were identified and discussed. Findings from this study help to answer the question of whether a structural health monitoring system should be installed and run, thus enriching the knowledge body of structural health monitoring.

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“…A significant number of laboratory tests have been carried out to study the wavedeck interaction since the turning point (e.g., Douglass et al 2006;IEMURA et al 2007;Sugimoto and Unjoh 2007;Bradner 2008;McPherson 2008;Cuomo et al 2009;Sheppard and Marin 2009;Bradner et al 2011;Lau et al 2011;Lukkunaprasit et al 2011;Hayatdavoodi et al 2014;Rahman et al 2014;Seiffert et al 2014;Seiffert et al 2015;Guo et al 2015a;Chen et al 2016;Chen et al 2018;Xiao and Guo 2018;Huang, Zhu, Cui, Duan, and Cai, 2018;Zhu et al 2018;Huang, Duan, et al, 2019;Fang et al 2019;Xiang et al 2020;Zhu and Dong 2020). To gain a better understanding of the wave-deck interaction, Douglass et al (2006) conducted experimental tests with a scale model (1:15) hit by normally incident waves under various water conditions, and some additional understandings of the magnitude of the forces that occurred for a set of wave conditions and given bridge geometry were provided.…”

mentioning

confidence: 99%

“…When the incident wave directly hits the elevated bridge deck, wave breaking occurs, resulting in wave overtopping above the deck surface and air bubbles forming in the water. The conventional potential flow method faces a difficult challenge in accurately predicting the highly nonlinear wave-deck interaction, and such cases are best studied by the use of the computational fluid dynamics (CFD) solvers regardless of the submerged or elevated condition of the bridge deck (e.g., Huang and Xiao 2009;Bozorgnia et al 2010;Xiao et al 2010;Jin and Meng 2011;Bricker et al 2012;Bozorgnia and Lee 2012;Yim and Azadbakht 2013;Azadbakht 2013;Azadbakht and Yim 2014;Hayatdavoodi et al 2014;Xu and Cai 2014;Ataei and Padgett 2014;Seiffert et al 2015;Xu and Cai 2015;Xu and Cai 2015;Chen et al 2016;Xu et al 2018a;Xu et al 2018b;Xiao and Guo 2018;Huang, Yang, et al, 2019;Istrati and Buckle 2019;Qu et al 2019;Moideen et al 2019;Montoya et al 2019;Greco et al 2020;Hu et al 2020;Qu et al 2020a;Qu et al 2020b;Xiang et al 2020;Yang et al 2020;Zhao et al 2020aZhao et al , 2020bZhu and Dong 2020).…”

mentioning

confidence: 99%

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

Chen

et al. 2021

ABEN

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Massive coastal bridges were damaged in Hurricanes Ivan (2004) and Katrina (2005), and considerable efforts have been devoted to the studies of wave forces acting on bridge decks since then. When the hurricane and tsunamis approach the coastal zones, the mean water level is elevated, making it possible for the incident wave to hit the bridge deck directly. The study of wave force acting on the bridge deck is essential for the investigation of bridge failure mechanism, and a literature review of wave forces with experimental and numerical methods after Hurricanes Ivan and Katrina is presented in this paper. Though the experiments and numerical models can not fully simulate the wave-deck interaction as in realistic conditions, remarkable progress has been achieved, and some significant findings help the researchers to further understand the failure mechanism of the bridge deck. Emphasis is given to the studies that have significantly improved our understanding of the topic. Challenges associated with the existing studies and suggestions for future studies are presented for a deeper understanding of the failure mechanism of the bridge deck, and more countermeasures are expected to protect the bridge deck under extreme wave forces.

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Experimental and 3D numerical investigation of solitary wave forces on coastal bridges

Cited by 49 publications

References 50 publications

Copula-Based Vulnerability Analysis of Civil Infrastructure Subjected to Hurricanes

Copula-Based Vulnerability Analysis of Civil Infrastructure Subjected to Hurricanes

A Computing Model for Quantifying the Value of Structural Health Monitoring Information in Bridge Engineering

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

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