Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties

Liu, Yizhe; Mei, Yue; Chen, Yuli; Ding, Bin

doi:10.1016/j.compositesb.2024.111353

Composites Part B: Engineering

2024

DOI: 10.1016/j.compositesb.2024.111353

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Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties

Yizhe Liu,

Yue Mei,

Yuli Chen

et al.

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Cited by 4 publications

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Finite Element Model Updating for Material Model Calibration: A Review and Guide to Practice

Chen,

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Finite element model updating (FEMU) is an advanced inverse parameter identification method capable of identifying multiple parameters in a material model through one or a few well-designed material tests. The method has become more mature thanks to the widespread use of full-field measurement techniques, such as digital image correlation. Proper application of FEMU requires extensive expertise. This paper offers a review of FEMU and a guide to practice. It also presents FEMU-DIC, an open-source software package. We conclude by discussing the challenges and opportunities in this field with the intent of inspiring future research.

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Finite Element Model Updating for Material Model Calibration: A Review and Guide to Practice

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Halilovič

et al. 2024

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

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Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties

Cited by 4 publications

References 58 publications

Finite Element Model Updating for Material Model Calibration: A Review and Guide to Practice

Finite Element Model Updating for Material Model Calibration: A Review and Guide to Practice

A deep learning framework based on attention mechanism for predicting the mechanical properties and failure mode of embedded wrinkle fiber-reinforced composites

Multimodal data fusion enhanced deep learning prediction of crack path segmentation in CFRP composites

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