This paper presents a numerical study on the high‐temperature mechanical properties of a long‐span double‐deck suspension bridge. The main focus of this paper is the behavior analysis of Wuhan Yangtze River Bridge. A three‐dimensional thermal model of the bridge was established by the Fire Dynamics software (FDS) to obtain the 3D temperature field distribution, and the thermal analysis result was then applied to the three‐dimensional finite element model of the suspension bridge. The shortest failure time of the main cable and sling was determined to obtain the rescue time of a bridge fire. According to the calculation results of the suspension bridge under a tanker fire initiated at the upper deck of the bridge, the middle lane in the upper deck of the suspension bridge was determined to be a safe lane. Thus, the tanker should be guided to go in this lane of the bridge. The numerical analysis of the experimental results shows that when the fuel tanker is located on the upper and lower floors of the bridge, the bridge structure is affected by the fire. When the oil tanker burns in the outermost lane of the upper bridge, it will have a great impact on the main cables and slings of the bridge. When the fuel tanker burns in the lower nonmotorized lane of the bridge, it will have a great impact on the upper stiffening beam steel plates and truss rods.

To investigate the pitting evolution behavior of carbon steel in industrial–coastal atmospheric environments, a multiphysics numerical model was established by coupling tertiary current distribution, mass transport, and deforming geometry based on electrochemical corrosion mechanisms. Based on this framework, the effects of pH, salt concentration, and relative humidity (RH) on the pitting corrosion rate were systematically analyzed, and a predictive model for the pitting rate was subsequently developed. The results indicate that the pitting morphology gradually evolves from an initial conical shape to a hemispherical morphology and eventually develops into a quasi-cylindrical form. When the pH value increases from 6.0 to 7.0, the pitting rate decreases significantly, with a maximum reduction of 23.96%. Within the salt concentration range of 0.5%–1% (mass fraction), increasing salt concentration markedly accelerates the pitting process, resulting in a maximum increase in the pitting rate of 10%. In addition, the pitting rate exhibits a pronounced peak within the RH range of 72%–77%. The corrosion rates predicted by the proposed model are in good agreement with the experimental results, with relative errors within 5%. These results indicate that the numerical model and prediction formula established in the present study can reasonably predict the pitting evolution behavior and corrosion rate of carbon steel.

The SRC (steel‐frame reinforced concrete) arch bridge is an important part of the development of arch bridges. Scholars worldwide have studied it from various aspects because of its stronger stiffness and stability than other types of bridges especially when crossing the canyon. The steel frame is a stress bracket during construction. Concrete becomes the main axial‐pressure bearing structure when it fills the inner pipe and the encased frame. This article mainly focuses on the crack problems of SRC arch bridging during the postconstruction operation, local model of the midspan arch rib, and the equivalent relationship between the coefficient of expansion and the temperature of concrete. This study uses a cooling method to simulate the shrinkage process with detailed analysis of three properties including concrete shrinkage, temperature gradients, and concentrated hanger rod force. It is concluded that the SRC arch bridge will have large tensile stress on both inner and outer surfaces of slab and web when the temperature changes, and it is the main cause of cracks. The results agree well with measured data. At last, we come up with some reference suggestions in the design and construction of similar bridges in the future.

Surface temperature ( T _s ) and the thermal state of air immediately above urban surfaces are strongly coupled. This study used a 12‐day field campaign over a homogeneous 100 × 60 m artificial‐turf football field to examine the covariation among radiation, T _s , and a shaded near‐surface temperature proxy at 0.5 m height. Incident shortwave ( I ), reflected shortwave ( R ), downward longwave ( D ), and upward longwave ( U ) radiation were recorded every 10 s with a four‐component net radiometer and aggregated to hourly values. T _s was derived from longwave radiation using the Stefan–Boltzmann law with an emissivity of 0.95 and correction for reflected downward longwave radiation. The field exhibited a low effective albedo under high‐irradiance conditions, while the ratio U/D generally ranged from 1.1 to 1.6. T _s consistently exceeded the shaded near‐surface temperature proxy by about 5°C–30°C during daytime, and both variables covaried with incoming shortwave and net radiation. Linear associations were evident at the daily scale, although the explained variance differed among metrics, indicating modulation by atmospheric conditions. These results quantify the radiation‐temperature behavior of a homogeneous artificial‐turf surface and support the interpretation that low‐albedo surfaces can intensify near‐surface warming under sunny conditions.