Abstract
Modular construction methods are adopted in many spatial and temporal limited projects. As the major equipment used in modular construction, the mobile crane affects the safety and efficiency of construction significantly. Currently, building information modeling (BIM) is widely adopted to improve the lifting operation planning of cranes. However, the inaccurate simulation of the dynamic construction environment makes those BIM‐based lifting operation planning methods unsuitable for land mobile cranes operation planning, such as in the overpass bridge construction project, which may cause several safety risks during the lifting process. Based on an overpass steel bridge construction project, this paper attempted to integrate the BIM and unmanned aerial vehicles (UAVs) to streamline lifting operation planning and construction monitoring. Specifically, in the preliminary stage, a level of development (LOD) 400 steel superstructure model was built and then divided into eighty sections. In addition, a three‐dimensional (3D) geology model of the as‐is construction site was modeled by UAV‐captured images. Then, a fusion model which contains the lifting modules models, the as‐is site model, and the crane model was gathered, based on which the collision detection was conducted by 4D crane operating path simulation. According to the results, three potential collisions were found and eliminated by lengthening the jib of the crane from 43.5 m to 46.5 m. Furthermore, the optimum crane location for lifting each steel structure was determined based on the 3D geology model. The study shows that the UAV is able to acquire geological information and then 3D simulates the real construction environment quickly and accurately. Furthermore, BIM and UAV have the potential to optimize the design and construction as well as the monitoring of bridge projects.
Highlights
According to Amap and State Information Center of China, in 2019, there were 4% of cities in China with an urban traffic congestion delay index of more than 1.8 and 61% of cities with a peak congestion delay index of more than 1.5, which means that the travel time under congested traffic situation was 1.5 or 1.8 times of the normal travel time without traffic congestion [1]
The incremental launching construction technology is prevailing in steel box girder overpass bridge construction [2]. is kind of construction method involves breaking down the entire steel box girder into modules, prefabricating modules off-site, and transporting modules to the construction site [2]. e modules, which are always large and heavy objects, are typically lifted by cranes and installed on the designed positions
After unmanned aerial vehicles (UAVs) photogrammetric flights obtain a series of image sequences with a certain overlap rate for the target area, the features of the images were analyzed by Structure from Motion (SfM) photogrammetry. is photogrammetry technology is an image-based technology that can extract feature points from multiple overlapping 2D images and maps them into a 3D space. en, after computing critical parameters, 3D coordinates of surface points can be obtained
Summary
According to Amap and State Information Center of China, in 2019, there were 4% of cities in China with an urban traffic congestion delay index of more than 1.8 and 61% of cities with a peak congestion delay index of more than 1.5, which means that the travel time under congested traffic situation was 1.5 or 1.8 times of the normal travel time without traffic congestion [1]. Because the information provided by CAD is 2D drawing, it differs from the real construction process, which makes operators suffer from the separation between the design and construction phases [4] To address this problem, building information modeling (BIM) was introduced to the crane operation plan. Is study attempts to integrate the BIM and UAV in the modular construction of a steel bridge to provide an accurate way in crane path planning and construction monitoring.
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