The experimental data were analyzed and later validated by COMSOL modeling. The temperature field in other environments was simulated for validating the model. Another study [5] conducted temperature monitoring of three-cell concrete box girders for one year and developed temperature prediction equations for these using instantaneous air temperature, solar radiation, and wind speed. A different study [6] investigated the temperature distribution pattern of a combination girder under typical weather conditions based on a six-year temperature dataset and derived the distribution map and standard value of the most critical temperature gradient through statistical analysis. Another study [7] derived and established a vertical discrete dimensional reduction model for steel-concrete composite bridges by simplifying the temperature field of the bridge into a vertical temperature gradient for rapid calculation of temperature loads. Another study [8] calibrated the temperature gradient loading factors for different risk levels using a first-order reliability approach and considered sources of uncertainty such as material, fabrication, and loading effects. Another study [9] simulated the long-term temperature field at a site based on weather station observation data and obtained representative values with a 50-year return period by substituting the data into a generalized Pareto model through the temperature gradient model in the design specification; spatial interpolation was used to draw a map of the temperature action contours, and the contour map was simplified to obtain the map of the temperature action zones. Some scholars have achieved the prevention and monitoring of structural health of bridges under temperature effects by simulating or predicting the temperature field of bridges. One study [10] analyzed the temperature distribution and related responses of a suspension bridge using structural health monitoring as well as field tests and numerical analysis. A modeling system was developed to predict the effect of temperature on the bridge and its effectiveness was demonstrated by comparing the observed data with the predicted values. A different study [11] presented a model for predicting extreme temperatures of bridge structures. A probabilistic model of structural temperature was developed by combining experimental and environmental data; and the average structural temperatures for 50 and 100 years were predicted. Another study [12] proposed a temperature gradient pattern calculation method that considered condition dependence and the entire design service life. The temperature gradient pattern of the box girder throughout its service life was predicted. Another study [13] identified the main meteorological parameters affecting the temperature gradient through correlation analysis, considered the different mechanisms by which different meteorological conditions affect the temperature gradient, and established a correlation model between the temperature gradient and the meteorological parameters. In the temperature effect study of the structure, the boundary conditions of the temperature field must be clarified first, and the treatment of the boundary conditions directly affects the accuracy of the calculation results. One study [14] firstly calculated the temperature field boundary conditions with the formula before correction and then calculated the temperature field boundary conditions with the formula after correction, and compared the two. Then, ANSYS V19.2 was used to establish the temperature field simulation model. The modified temperature field boundary conditions were applied to the model, the calculated structural temperature was extracted, and the measured values in the field were compared with the numerical simulation values.