研究目的
To generate and validate an efficient CUF-based finite element analysis (FEA) model for the deformation simulation and prediction of complex structures.
研究成果
The article successfully integrates laser-based technology with the CUF method for deformation analysis of arch structures. The CUF model is validated with high-accuracy laser tracker measurements, showing deviations of approximately 2.27%, 5.19%, and 2.38% for different measurement points. The study also explores the effects of structural damage and reinforcement, providing insights into the design and analysis of complex structures.
研究不足
The study focuses on linear static analysis and does not consider the ultimate load capacity of the arch structures. The experimental setup is limited to specific boundary conditions and does not explore dynamic loading scenarios.
1：Experimental Design and Method Selection:
The study combines laser-based measurement technology with the Carrera unified formulation (CUF) method to investigate the deformation of engineering structures. The CUF geometric model is used to simulate architectural structures, validated with laser tracker experiments.
2：Sample Selection and Data Sources:
The experiment involves an arch structure supported with two piers, where one pier is fixed and the other can be moved to simulate lateral displacement. Displacements are measured using corner cube reflectors (CCRs).
3：List of Experimental Equipment and Materials:
Laser tracker and terrestrial laser scanning (TLS) technologies are used for spatial data collection. The arch structure's geometric parameters are defined, including length, width, thickness, height, and radius.
4：Experimental Procedures and Operational Workflow:
The arch structure is subjected to varying loads, and displacements at specific points (CCRs) are measured. The CUF model is then used to simulate these conditions, and results are compared with experimental data.
5：Data Analysis Methods:
The material properties of the arch structure, such as Young's modulus and Poisson's ratio, are calibrated by comparing numerical simulations with experimental test results. The deviation between simulations and experiments is analyzed.
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