15 research outputs found
Determination of appropriate updating parameters for effective life-cycle management of deteriorating structures under uncertainty
Probabilistic service life prediction updating with inspection information for RC structures subjected to coupled corrosion and fatigue
Determination of Updating Parameters for Predicting Fatigue Cracks of Steel Structures
Effective optimum maintenance planning with updating based on inspection information for fatigue-sensitive structures
Probabilistic Optimum Bridge System Maintenance Management Considering Correlations of Deteriorating Components and Service Life Extensions
Optimum Target Reliability Determination for Efficient Service Life Management of Bridge Networks
Probabilistic multi-objective optimum combined inspection and monitoring planning and decision making with updating
Optimum bridge life-cycle management with updating based on inspected fatigue crack under uncertainty
Vehicle–Bridge Coupling of Road–Rail Dual-Use Network Arch Bridge Based on a Noniterative Approach: Parametric Analysis and Case Study
In the realm of road–rail dual-use bridges, conducting accurate vehicle–bridge coupling analysis is crucial, as the combined effects of road traffic and rail transit induce complex dynamic challenges. This study investigates a road–rail dual-use network arch bridge, highlighting the dynamic effects induced by light rail loadings. By employing a noniterative vehicle–bridge coupling analysis method, the dynamic responses of hangers caused by vehicular and light rail loads are effectively captured. Additionally, this study explores the influence of various parameters, including vehicle types, driving lanes, and road surface roughness on the responses of hangers positioned at different locations along the bridge. The findings reveal that light rail induces significantly larger dynamic effects compared to motor vehicles. When the light rail operates closer to the hanger, the responses of hangers are more pronounced. Furthermore, different road surface roughness level notably affects the amplitude of axial stress and bending moment fluctuations. Poorer road conditions amplify these dynamic effects, leading to increased stress variations. These insights underscore the necessity of integrating considerations for both road and rail traffic in the structural analysis and design of network arch bridges to ensure their reliability and serviceability
