Joint values determination of wind and temperature actions on long-span bridges: Copula-based analysis using long-term meteorological data

Wang, Zhiwei; Zhang, Wenming; Tian, Gen-min; Liu, Zhao

doi:10.1016/j.engstruct.2020.110866

Cited by 26 publications

(4 citation statements)

References 42 publications

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“…Equations ( 1)-( 4) have been used in some other studies (Wang et al, 2020). However, their application is limited as the climate conditions in different areas are not the same.…”

Section: Intrinsic Law Between Structural Temperature and Atmospheric...mentioning

confidence: 99%

Modelling of extreme uniform temperature for high-speed railway bridge piers using maximum entropy and field monitoring

Dai

Wang

Chen

et al. 2022

Advances in Structural Engineering

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Due to the atmospheric temperature and solar radiation, the effects of temperature variation in bridge structures should be considered. Such variation induces notable deformations and movements, jeopardizing the safety of bridges and high-speed trains operations. However, the temperature action is a random process and its distribution is difficult to determine. The existing methods for analyzing structural temperatures are insufficient to meet the precision requirement. Therefore, the accurate prediction of extreme structural temperatures relates to the accurate evaluation on the bridge safety. This paper proposes a robust and accurate model for predicting the extreme structural temperature of a bridge. A field experiment, spanning over 2 years, was carried out on a high-speed railway bridge; and the long-term (56-years) atmospheric temperature data was adopted. Probabilistic models for the structural temperature were established using the Maximum Entropy (MaxEnt) model and the Generalized Pareto distribution (GPD) model; and the predictions on the uniform structural temperature ( T u) with 50 and 100 years return periods are presented. Additionally, the performance between the MaxEnt model and the GPD model is compared, based on the estimates with different return levels. The results show that the MaxEnt model is more stable and is significantly robust to the variation of sample sizes; and indicates that the MaxEnt model reduces the uncertainty of outcomes and avoids the high risk of bias. The MaxEnt model has a great potential to the applications of the extreme value analysis with small sample size. It offers a wider applicability and helps solve practical problems.

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“…Equations ( 1)-( 4) have been used in some other studies (Wang et al, 2020). However, their application is limited as the climate conditions in different areas are not the same.…”

Section: Intrinsic Law Between Structural Temperature and Atmospheric...mentioning

confidence: 99%

Modelling of extreme uniform temperature for high-speed railway bridge piers using maximum entropy and field monitoring

Dai

Wang

Chen

et al. 2022

Advances in Structural Engineering

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“…These wind field characteristics play a crucial role during the construction and operation phases of bridge engineering, and influence the sustainable design of bridges [7]. Currently, researchers have extensively studied these phenomena, making many significant contributions based on their field measurements [8][9][10][11], wind tunnel tests [12][13][14][15], and numerical simulations [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wind Field Characteristics of Ideal V-Shaped and U-Shaped Canyons

Zhou

Xin

Yu³

et al. 2023

Sustainability

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As an important part of road transportation, bridge engineering plays a pivotal role in infrastructure construction. The wind field characteristics of the bridge site area have an essential influence on both the construction and operation period of the bridge, especially in mountainous canyon terrain. In this paper, a numerical simulation using computational fluid dynamics software was conducted to examine the intricate wind field characteristics in mountainous regions. The study focused on ideal V-shaped and U-shaped canyons, aiming to investigate the influence of various parameters. These parameters included three distinct heights, seven angles, and seven widths of the canyon. The findings indicate that in both ideal V-shaped and U-shaped canyons, the canyon acceleration effect weakens as the angles or widths of the canyon increase. The wind speed amplification effect gradually disappears when the V-shaped canyon angle exceeds 160° or when the U-shaped canyon has a width-to-height ratio of approximately 5:1. The wind speed amplification effect strengthens as the canyon height increases. The wind speed acceleration effect exhibits a linear relationship with the angle of the V-shaped canyon, while it demonstrates a logarithmic relationship with the width of the U-shaped canyon. Additionally, the wind speed amplification factor follows a logarithmic distribution along the canyon height. The wind field characteristics observed in this study offer valuable insights for future bridge designs in mountainous regions featuring V-shaped and U-shaped canyons.

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“…Modeling of environmental loads are also a topic of interest for the assessment of structures, for example, in [23], a copula-model is used to characterize the joint distribution of wind speed and rain intensity to perform a failure analysis of a transmission line. In [24], wind speed and air temperature are characterized using copulas for the assessment of long span bridges. Another example of an application of copula-based models and reliability analysis was presented in [25] to investigating the failure of a dike by overflow.…”

Section: Introductionmentioning

confidence: 99%

Structural reliability analysis of a submerged floating tunnel under copula-based traffic load simulations

Torres-Alves

Hart

Morales-Nápoles

et al. 2022

Engineering Structures

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Joint values determination of wind and temperature actions on long-span bridges: Copula-based analysis using long-term meteorological data

Cited by 26 publications

References 42 publications

Modelling of extreme uniform temperature for high-speed railway bridge piers using maximum entropy and field monitoring

Modelling of extreme uniform temperature for high-speed railway bridge piers using maximum entropy and field monitoring

Analysis of Wind Field Characteristics of Ideal V-Shaped and U-Shaped Canyons

Structural reliability analysis of a submerged floating tunnel under copula-based traffic load simulations

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