The developments in building information modeling (BIM) technology provide a new approach for remote real-time visualized bridge health monitoring and structural damage detection, but so far, there are scarcely any application cases of a BIM-based SHM system for butterfly arch bridges around the world. This paper reviewed the recent progress on the butterfly arch bridge and its requirements for the integration between SHM and BIM. Based on an actual project in southwest China, work on the spatial mechanical properties, the analysis of monitoring requirements, and the design of functional modules of SHM are elaborately conducted. Subsequently, the lightweight BIM is established and integrated into the web client-side of the SHM system with the skeleton-template method, CATIA platform, and sensor data. With the implementation of user-defined virtual sensor parameter linkage, the design of the specific databases is accomplished in the SQL server environment. Based on one actual incident that saw an overweight/oversize vehicle (with the weight of 80 t, 2015) pass over the arch bridge, the fuzzy relation synthesis and data cleaning method were improved to compare the standard deviation with the threshold value of the correlation degree, and a method is adopted to evaluate the structural operation behavior of the bridge and the service condition of the BIM-based SHM system after the ultra-limit accident. The study results evince the validity and efficiency of the BIM-based SHM system, which could lay a foundation for the visualized assessment and early warning system of long-span bridges.

High-rise building structures with podiums are widely present, and establishing a fast numerical prediction method to evaluate their wind-induced response characteristics is of great significance for engineering applications. This article proposes a process algorithm based on the AR (autoregression) method to solve the time history of fluctuating wind speed and determine fluctuating wind load. The simulated fluctuating wind speed spectrum obtained through this algorithm matches the target wind speed spectrum, and the wind-induced response characteristics of high-rise buildings with podiums were studied using MIDAS GEN (2021) structural analysis software. In order to evaluate the influence of different parameters on the wind-induced vibration response of high-rise buildings with podiums, a total of 11 comparative conditions were set, including the presence or absence of podiums, podium height, podium area, and podium layout conditions. A comprehensive time history analysis was conducted on the displacement, acceleration, shear force, and overturning moment of the wind-induced vibration response of high-rise buildings with podiums. The results indicate that in high-rise buildings with podiums, adding podiums and increasing their height and area can help suppress the inter-story displacement of the main building and the inter-story acceleration, inter-story shear force, and intra-story overturning moment of the middle and lower floors, which is beneficial for the safety and stability of the high-rise building structure. The layout of the podium has an impact on the wind-induced vibration response of the main building. When the podium and main building are symmetrically arranged in the downwind direction, the maximum displacement of each floor is small, while the maximum displacement curve of buildings with asymmetric layout at the junction of the podium and main building is not smooth. The design of the central layout of the podium and main building can effectively reduce the maximum shear force and maximum overturning moment of the higher floors of the building, but the effect is opposite at lower floors.

Bond strength degradation of corroded reinforced concrete (RC) structures involves complex mechanical interactions that are difficult to capture through experimental or purely data-driven methods alone. This study proposes a physics-informed neural network (PINN) framework that embeds a thin-walled cylinder rust expansion model as differentiable soft constraints in the loss function, achieving deep integration of mechanical priors with data-driven learning. The PINN predicts the bond strength τ_u alongside intermediate physical quantities including rust expansion stress σ_r, hoop stress σ_θ, and damage variable D_θ. A four-stage progressive training strategy is adopted to balance data fitting and physical consistency. The results show that the proposed PINN improves R² by 5.49–15.66% and reduces SMAPE by 33.91–58.87% compared to XGBoost, RF, and SVM, while achieving an average prediction error of 1.66% in experimental validation. Under the cover thickness extrapolation scenario (15 mm → 10 mm), the PINN maintains prediction errors within 1.5%, significantly outperforming both ML models and empirical formulas. The framework’s interpretability is further demonstrated through decomposition of the bond strength into frictional and mechanical interlock components, providing mechanistic insight into the corrosion-induced failure process.

High rise building structures with podiums are widely present, and establishing a fast numerical prediction method to evaluate their wind-induced response characteristics is of great significance for engineering applications. This article proposes a process algo-rithm based on AR (autoregression) method to solve the time history of fluctuating wind speed and determine fluctuating wind load. The simulated fluctuating wind speed spectrum obtained through this algorithm matches the target wind speed spec-trum, and the wind-induced response characteristics of high-rise buildings with po-diums were studied using MIDAS GEN structural analysis software. In order to eval-uate the influence of different parameters on the wind-induced vibration response of high-rise buildings with podiums, a total of 11 comparative conditions were set, in-cluding the presence or absence of podiums, podium height, podium area, and podium layout conditions. A comprehensive time history analysis was conducted on the dis-placement, acceleration, shear force, and overturning moment of wind-induced vibra-tion response of high-rise buildings with podiums. The results indicate that in high-rise buildings with podiums, adding podiums and increasing their height and area can help suppress the inter story displacement of the main building and the inter story acceleration, inter story shear force, and intra story overturning moment of the middle and lower floors, which is beneficial for the safety and stability of the high-rise building structure. The layout of the podium has an impact on the wind-induced vibration re-sponse of the main building. When the podium and main building are symmetrically arranged in the downwind direction, the maximum displacement of each floor is small, while the maximum displacement curve of buildings with asymmetric layout at the junction of the podium and main building is not smooth. The design of the central layout of the podium and main building can effectively reduce the maximum shear force and maximum overturning moment of the higher floors of the building, but the effect is opposite at lower floors.