China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (9): 106-112.doi: 10.16265/j.cnki.issn1003-3033.2025.09.1124

• Safety engineering technology • Previous Articles     Next Articles

Application of spatial point cloud data in finite element modeling of storage tanks

DU Liang1,2(), XING Shu1,2, WANG Dapeng1,2, ZHANG Chunyi1,2, SHI Xiushan1,2,**(), YAN He1,2   

  1. 1 China Special Equipment Inspection and Research Institute, Beijing 100029, China
    2 Technology Innovation Center of Oil and Gas Pipeline and Storage Equipment Safety, State Administration for Market Regulation, Beijing 100029, China
  • Received:2025-04-22 Revised:2025-07-02 Online:2025-09-28 Published:2026-03-28
  • Contact: SHI Xiushan

Abstract:

To improve the accuracy of structural safety evaluation results for hazardous chemical storage tanks, a finite element model construction process for storage tanks based on 3D laser scanning was proposed. This process utilized point cloud data to build a finite element simulation model that accurately reflected the actual structural topology of the tank, such as out-of-roundness and local concave-convex deformations, thereby enhancing the accuracy of the analytical model. First, high-precision spatial structural data from the field were acquired using a 3D laser scanning system. A lightweight regularization preprocessing method was proposed, including coordinate system transformation, node correspondence, and coordinate value updates. Next, combined with the finite element model unit construction method, the point cloud nodes with updated coordinates were used to generate a numerical simulation model that accounted for initial geometric defects, followed by an analysis of model accuracy. Finally, taking an in-service dome-roof tank as an example, deformation analysis of the storage tank was conducted based on 3D laser scanning data. A high-precision finite element model construction method was employed to build a full-scale finite element model of the tank wall, and an evaluation of the wall's strength performance was carried out. The results indicate that the point cloud data processing method proposed in this paper enables the construction of a finite element model that accounts for geometric deformation of storage tanks. The spatial position accuracy of the unit nodes can reach 0.01 mm, and the volume of the reduced point cloud data can be decreased by 70%. Compared to traditional finite element simulation models that consider initial geometric deformation, the structural safety evaluation data obtained from this model are more conservative, leading to safer assessment conclusions for storage tanks.

Key words: storage tank structure, point cloud data, finite element, safety assessment, cylindrical structures

CLC Number: