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Data-driven multiscale method for composite plates

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Abstract

Composite plates are widely used in many engineering fields such as aerospace and automotive. An accurate and efficient multiscale modeling and simulation strategy is of paramount importance to improve design and manufacture. To this end, we propose an efficient data-driven computing scheme based on the classical plate theory for the multiscale analysis of composite plates. In order to accurately describe the relationship between the macroscopic mechanical properties and the microscopic architecture, the multiscale finite element method (FE\(^2\)) is adopted to compute the generalized strain and stress fields. These data are then used to construct a database for data-driven computing. Since the database is offline populated, the data-driven computing scheme allows for a reduced computational cost when compared to the traditional multiscale method, where the concurrent coupling of different scales is still a burden. And data are obtained from a reduced structural model for computational efficiency. The proposed scheme is therefore addressed as Structural-Genome-Driven (SGD) modeling of plates. Compared to the general data-driven computational mechanics modeling of plates, SGD is found to be more efficient since the number of integration points is significantly reduced. This scheme provides a robust alternative computational tool for composite plate structures analysis.

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Acknowledgements

This work has been supported by the National Natural Science Foundation of China (Grant Nos. 11920101002, 11772238 and 11902227), the Fundamental Research Funds for the Central Universities (Grant Nos. 2042020kf0006 and 2042020kf0007), and the Post Doctoral Innovation Research Post provided by Human Resources and Social Security Department of Hubei Province. Dr Belouettar acknowledge the financial support of the FNR through the Grant DeeMa project (INTER/MERA20/15011099).

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  1. Wei Yan and Wei Huang have contributed equally to this work.

Authors and Affiliations

  1. School of Civil Engineering, Wuhan University, 8 South Road of East Lake, Wuchang, Wuhan, 430072, People’s Republic of China

    Wei Yan, Wei Huang, Qun Huang, Jie Yang & Heng Hu

  2. Luxembourg Institute of Science and Technology, 5, avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg

    Gaetano Giunta & Salim Belouettar

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  1. Wei Yan
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  2. Wei Huang
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  3. Qun Huang
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Correspondence to Heng Hu.

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Yan, W., Huang, W., Huang, Q. et al. Data-driven multiscale method for composite plates. Comput Mech 70, 1025–1040 (2022). https://doi.org/10.1007/s00466-022-02195-6

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