Temperature Study of an Experimental Segmental Concrete Bridge

Hoffman, Paul; McClure, R M; West, Harry

doi:10.15554/pcij.03011983.78.97

Cited by 13 publications

(5 citation statements)

References 1 publication

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“…Field monitoring studies. Hoffman et al (1980) presented the field monitoring results of an experimental segmental box girder bridge. Despite the bridge being curved in the southnorth direction, no significant longitudinal and transverse temperature differences were observed.…”

Section: Beam Bridgesmentioning

confidence: 99%

Thermal behaviors of bridges — A literature review

Chen

Zhou

et al. 2023

Advances in Structural Engineering

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This work provides a comprehensive review of previous studies concerning the static thermal behaviors of various types of bridges, including beam bridges, arch bridges, cable-stayed, and suspension bridges. Given that thermal behaviors are closely associated with the temperature distribution of bridges, the basis of the heat transfer analysis is briefly introduced first. The studies of the temperature distribution and the temperature actions of each type of bridge are then reviewed from the perspective of theoretical analysis, numerical simulation, experimental tests, and field monitoring. Finally, some existing problems are discussed, and future research topics are recommended.

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Section: Beam Bridgesmentioning

confidence: 99%

Thermal behaviors of bridges — A literature review

Chen

Zhou

et al. 2023

Advances in Structural Engineering

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“…Churchward [10] analyzed the influence of atmospheric temperature, wind speed, solar radiation, and other related environmental factors on the temperature field of the structure and derived the temperature distribution function of the vertical section of the box girder under the combined action of the DTMAX and sunshine parameters. Hoffman [11] found that the temperature variation in the longitudinal direction of the bridge is small, and variations in solar radiation and atmospheric temperature cause a non-linear temperature gradient along the vertical height direction in the main girder section. Xia et al [12] combined field measurements with finite element simulations to calculate the temperature distribution of different components of the bridge structure and analyze the displacement and strain response of the structure.…”

Section: Introductionmentioning

confidence: 99%

Simulation Study on Sunshine Temperature Field of a Concrete Box Girder of the Cable-Stayed Bridge

et al. 2023

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This paper investigates the distribution of the sunshine temperature field in bridge structures. To implement thermodynamic boundary conditions on the structure under the influence of sunshine, this study utilized the FILM and DFLUX subroutines provided by ABAQUS. Based on this method, the sunshine temperature field of the concrete box girder of a cable-stayed bridge was analyzed. The results showed that the simulated temperature values were in good agreement with the measured values. The temperature difference between the internal and external surfaces of the box girder under the influence of sunshine was significant, with the maximum negative temperature difference appearing around 6:00 a.m. and the maximum positive temperature difference appearing around 2:00 p.m. The temperature gradient of the box girder section calculated by the method presented a C-shaped distribution pattern, which differs from the double-line distribution pattern specified in the current “General Specifications for Design of Highway Bridges and Culverts” in China (JTG D60-2015). Furthermore, a sensitivity analysis of thermal parameters using the proposed simulation method for the sunshine temperature field of the concrete box girder was conducted, and the results indicated that the solar radiation absorption coefficient had a significant impact on the temperature field. A 30% increase or decrease in the solar radiation absorption coefficient caused the maximum temperature change on the surface of the structure to exceed 10 °C. This paper provides an accurate simulation of the sunshine temperature field of the concrete box girder of a cable-stayed bridge, and the research results are significant for controlling bridge alignment and stress state during the construction period, ensuring the reasonable initial operating state of the bridge, and enhancing the sustainability of the structure.

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“…In New Zealand, some scholars have carried out several model tests on one viaduct, and proposed the formulas to predict the temperature distribution along the concrete box girder [4][5]. Hoffman obtained the factors influencing the nonlinear temperature distribu-tion of a prestressed concrete box girder through the long-term observation of bridge temperature [6]. With the development of finite element theory and computer technology, temperature field can be analyzed and summarized by finite element method [7].…”

Section: Introductionmentioning

confidence: 99%

Predicting Temperature-induced Deflection and Abnormality Recognition of Cable-stayed Bridge Based on Machine Learning

Sun¹,

Sun²,

Wang³

et al. 2022

Journal of Compurters

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<p>The vertical deflection of the main girder on a cable-stayed bridge is a direct reflection of the vertical stiffness of bridge structure, which represents the comprehensive mechanical performance of cable-stayed bridge. Compared with the deflection caused by vehicles, the deflection caused by temperature is often more significant and the change frequency is very low, which is easy to extract from raw data, and can be used as an index to evaluate the state of cable-stayed bridge. To obtain the control value for recognizing the abnormal deflection, it is necessary to establish an accurate input-output relationship between temperature and temperature-induced deflection. However, because of the high-order nonlinear relationship between the temperature and the temperature-induced deflection, the traditional linear regression is not accurate enough in modeling this relationship. To establish a high-precision model for the deflection, this paper uses the machine learning tools with the highly nonlinear fitting performance to further model the project. Considering both the precision and modeling efficiency, the Long-Short Term Memory (LSTM) network can build the optimal model between temperature and temperature-induced deflection. Use the regression value output by LSTM as the control value combining with the statistical pattern of t-test, the 6% abnormal deflection can be recognized. The 6% sensitivity can help to recognize bridge abnormalities earlier. </p> <p> </p>

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Temperature Study of an Experimental Segmental Concrete Bridge

Cited by 13 publications

References 1 publication

Thermal behaviors of bridges — A literature review

Thermal behaviors of bridges — A literature review

Simulation Study on Sunshine Temperature Field of a Concrete Box Girder of the Cable-Stayed Bridge

Predicting Temperature-induced Deflection and Abnormality Recognition of Cable-stayed Bridge Based on Machine Learning

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