Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data

Abstract

Building information modeling (BIM) in industrialized bridge construction is usually performed based on initial design information. Differences exist between the model of the structure and its actual geometric dimensions and features due to the manufacturing, transportation, hoisting, assembly, and load bearing of the structure. These variations affect the construction project handover and facility management. The solutions available at present entail the use of point clouds to reconstruct BIM. However, these solutions still encounter problems, such as the inability to obtain the actual geometric features of a bridge quickly and accurately. Moreover, the created BIM is nonparametric and cannot be dynamically adjusted. This paper proposes a fully automatic method of reconstructing parameterized BIM by using point clouds to address the abovementioned problems. An algorithm for bridge point cloud segmentation is developed; the algorithm can separate the bridge point cloud from the entire scanning scene and segment the unit structure point cloud. Another algorithm for extracting the geometric features of the bridge point cloud is also proposed; this algorithm is effective for partially missing point clouds. The feasibility of the proposed method is evaluated and verified using theoretical and actual bridge point clouds, respectively. The reconstruction quality of BIM is also evaluated visually and quantitatively, and the results show that the reconstructed BIM is accurate and reliable.

Abstraktion digitaler Bauwerksmodelle als Grundlage für das digitale Instandhaltungsmanagement

“…Die Erzeugung der Bauwerksmodelle ist nach aktuellem Stand der Forschung ein aufwendiger Prozess [21,22], der einer fl ächendeckenden Anwendung von digitalen Lösungsansätzen entgegensteht. Durch die Interpretation von digitalen Punktwolken und die (teil-) automatisierte Ableitung von objektorientierten Bauteilen soll der Prozess der Modellbereitstellung unterstützt werden [23,24]. Hierbei wird i. d. R. das Ziel verfolgt, ein genaues geometrisches Modell des Bestandsbauwerks zu erzeugen [25,26].…”

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

“…Compared to other general techniques like a total station, the main advantage of terrestrial laser scanning is the fast collection of high-density points with x, y, z coordinates and RGB and intensity values, which can be further used in reconstructing a 3D model of objects in construction environments. With the development of TLS and modeling approaches, relevant studies have been conducted on the reconstruction of different objects, including buildings [ 49 , 51 , 53 , 54 , 58 , 60 , 61 , 65 , 70 , 72 ], civil infrastructure and its components (bridges [ 55 , 62 , 63 , 64 , 73 , 74 , 75 , 76 , 77 ], tunnels [ 50 ], precast concrete elements [ 71 , 79 ], removable floodwalls [ 56 ], bridge piers [ 66 ], pipe racks [ 52 ]), and construction sites [ 67 , 68 , 69 ]. The process of 3D model reconstruction using TLS can be classified into three main phases: (1) data collection, (2) data pre-processing, in which the critical task is to register multiple scans in a common coordinate system, and (3) modeling.…”

“…In this regard, the majority of research has focused on assembly process management for prefabricated components. Zhou et al [ 76 ] proposed a framework for the virtual trial assembly (VTA) of steel structures with bolted connections to reduce on-site assembly discrepancies. After collecting high-precision point clouds of prefabricated segments, a finite element analysis is performed on the basis of the reconstructed BIM to simulate the deformation and stresses caused by forced assembly.…”

Semi-automated Generation of Geometric Digital Twin for Bridge Based on Terrestrial Laser Scanning Data

“…An average modeling distance of 7.05 cm of gDT was obtained. Qin et al [12] proposed an automatic method of reconstructing parameterized BIM by using point clouds to target simply supported beam bridges, and the accuracy was within 2 cm. For arch bridges with a complex structure, point clouds have more advantages than traditional total station measurement.…”