Excluding the variations of structural dynamic characteristics due to operational loads in
finite element model updating (FEMU) is essential for response prediction and structural …

The research on the application scenarios of smart bridge management platforms is of great
significance to improve the efficiency and safety of bridge management. Although there have …

Vehicle overloading seriously threatens the safety and long-term operation of global traffic
infrastructure. The emergence of computer vision-based non-contact weigh-in-motion (NC …

This study presents a two-step FE model updating approach for health monitoring and
damage identification of prestressed concrete girder bridges. To reduce the effects of …

The regular cable force detection during the service period is necessary for ensuring the
safety and health of the prestressed grid structure. However, because the cable is threaded …

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

In this paper, the problem of moving load identification using pure displacement
measurements is addressed. It is known that when no assumptions are made on the …

The expanding structural health monitoring (SHM) systems on bridge structures have
provided an abundance of multi-source data for finite element model updating (FEMU). The …

Traffic loads have an important impact on long-term performance of buried urban pipelines
due to generation of cyclic stress and fatigue damage. As a key task for pipeline fatigue …

This article focuses on the construction monitoring and control of a pre-stressed concrete
continuous beam bridge, consisting of 13 spans. The goal is to ensure that the bridge …