Over recent decades, 3D point clouds have been a popular data source applied in automatic
change detection in a wide variety of applications. Compared with 2D images, using 3D …

Traffic load is a crucial but complicated factor in determining the in-service performance and
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …

Abstract Vehicle Load Monitoring (VLM) on entire long-span bridge decks presents
significant challenges due to the spatial and temporal randomness of vehicles. Existing VLM …

Within the domain of operational bridges, the assessment of vehicle loads assumes
paramount significance due to the inherent uncertainty and randomness associated with …

Current traffic simulation approaches analyze vehicle loads and load effects from a statistical
perspective; however, they fail to reproduce the spatiotemporal distribution of bridge loads …

The simply supported slab bridge is a typical perfricated reinforced concrete bridge. Under
the influence of increasing vehicle loads and natural environmental erosion, the hinge joints …

Traffic load simulation (TLS) is critical for the design and assessment of long-span bridges.
Traditional methods, such as Monte-Carlo sampling and Cellular Automaton, rely on actual …

Vision-based traffic load monitoring has attracted considerable attention in recent years due
to its promise to enable continuous identification of full-bridge traffic load (FBTL). However …

Traffic load monitoring based on deep learning and computer vision has garnered
significant attention in bridge engineering worldwide. Unlike traditional traffic load …

Timely wear evaluation is crucial in maintaining the functionality of bridge expansion joints
(BEJs), ultimately ensuring the safety of bridges. Despite the significance of traffic load …