Temperature extreme value evaluation of composite beams based on Copula functions

The solar temperature field of steel-concrete composite girder bridges has a significant impact on structural stress. To evaluate the distribution of solar temperatures, this paper conducted analyses of the solar temperature field of the Xuefeng Lake Bridge through on-site measurements and numerical simulations. The study investigated the temperature field characteristics of the composite girders according to the temperature data. Based on the numerical simulation results, a finite element computational model for the vertical temperature gradient of the steel-concrete composite girder bridge was established, and the maximum gradient temperature values of the composite girders were calculated by using the 24-year historical data from 2000 to 2023. The extreme value parameters related to the GEV distribution model were determined. Taking into account the correlation between the annual maximum environmental temperature and wind speed, a joint distribution model was established using Copula functions. The results indicate that the average error of the numerical model is within 5 %. The wind-temperature joint distribution model, considering the effects of wind speed, tends to provide more conservative results. The calculated extreme values of temperature gradient load show an expanding trend, with the exceedance probabilities for recurrence periods of 100 years, 50 years, 20 years, 10 years, and 5 years being 0.64 %, 1.34 %, 2.29 %, 3.51 %, and 7.32 %, respectively.

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Publication Details

Journal
Case Studies in Construction Materials
Published
2024-08-29
DOI
https://doi.org/10.1016/j.cscm.2024.e03702
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.26

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article

Temperature extreme value evaluation of composite beams based on Copula functions

Yi Lü, Sanhong Zhang, Chang He, Wenhao Yu et al.
1 citations
Case Studies in Construction Materials
Structural Health Monitoring Techniques
0.26
article

Temperature extreme value evaluation of composite beams based on Copula functions

Yi Lü, Sanhong Zhang, Chang He, Wenhao Yu, Qiuliang Long, Fengqi Guo
article en
1 citations

Abstract

The solar temperature field of steel-concrete composite girder bridges has a significant impact on structural stress. To evaluate the distribution of solar temperatures, this paper conducted analyses of the solar temperature field of the Xuefeng Lake Bridge through on-site measurements and numerical simulations. The study investigated the temperature field characteristics of the composite girders according to the temperature data. Based on the numerical simulation results, a finite element computational model for the vertical temperature gradient of the steel-concrete composite girder bridge was established, and the maximum gradient temperature values of the composite girders were calculated by using the 24-year historical data from 2000 to 2023. The extreme value parameters related to the GEV distribution model were determined. Taking into account the correlation between the annual maximum environmental temperature and wind speed, a joint distribution model was established using Copula functions. The results indicate that the average error of the numerical model is within 5 %. The wind-temperature joint distribution model, considering the effects of wind speed, tends to provide more conservative results. The calculated extreme values of temperature gradient load show an expanding trend, with the exceedance probabilities for recurrence periods of 100 years, 50 years, 20 years, 10 years, and 5 years being 0.64 %, 1.34 %, 2.29 %, 3.51 %, and 7.32 %, respectively.

Case Studies in Construction MaterialsVol. 21
Central South University (CN), CCCC Wuhan Harbour Engineering Design and Research (China) (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 46%
Structural Health Monitoring Techniques
0.26
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Temperature extreme value evaluation of composite beams based on Copula functions — Yi Lü, Sanhong Zhang, et al. · Case Studies in Construction Materials (2024) | TGRS Research Map | TGRS