Abstract

AbstractThis article presents an innovative modelling method, which can serve as a set of guidelines for future applications related to point cloud data processing of steel lattice structures used for FEA modelling purposes. This method is fully automated, resulting in repeatable results and saving time required for manual data processing. The study investigated two types of input point cloud data, aerial and terrestrial, and compared the resulting model to an idealized model based on design documentation. Results showed that the LiDAR point cloud data is a good source of information for reconstructing a geometric CAD model and can be implemented in FEA. The impact of point cloud data usage for FEA modelling is demonstrated by investigating differences between FEA results of the point cloud‐based and idealized models, allowing for an understanding of the influence of real‐life imperfections on force redistribution across the analyzed structure and ultimate forces reached by members loaded in compression. This modelling method and analysis can serve as guidelines for future applications related to point cloud data pro‐cessing of steel lattice structures used for FEA modelling purposes.

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