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A data-driven CUF-based beam model based on the tree-search algorithm
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DOI：10.1016/j.compstruct.2022.116123.png)
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Abstract
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Data-driven Computational Mechanics (DDCM) has been proposed as a new computational paradigm in recent years. Most of the DDCM models are discretised in the FEM framework. In this paper, two strategies are employed in the framework of DDCM to improve computational efficiency. Firstly, an advanced structural theory, Carrera Unified Formula, is used to build the numerical model, which reduces the computational cost (amount of gauss points) and the number of iterations. Secondly, the tree-search algorithm is employed to build the hierarchical database, which speeds up the data searching efficiency. The corresponding results are compared with the FEM model, FE2 model and FEM-based data-driven model to verify the proposed scheme. Some numerical cases have been conducted to demonstrate the validation and robustness of the hierarchical database.
Keywords:
Data-driven
Multi-layer database
Data search
Carrera unified formula
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