A deep learning-based framework for impact load identification using strain data on composite plates

Yang Wu

doi:10.1016/j.measurement.2025.118497

A deep learning-based framework for impact load identification using strain data on composite plates

2025-07-22

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DOI：10.1016/j.measurement.2025.118497

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• A novel deep learning-based framework is proposed to identify the impact load on composite plates from strain data. • The error propagation from the load localization to impact load time history reconstruction is considered. • A partition collection strategy of training samples is proposed to enhance the ability of ISMA-SE-CNN-BiLSTM network.

Keywords:

deep learning

composite plates

impact load identification

strain data

neural networks

A deep learning-based framework for impact load identification using strain data on composite plates

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