Synergistic ductility deformation and helical design of carbon nanotube fiber composites

Wu, Yangfan; Wang, Pengfei; Wang, Deya; Bu, Lehu; Tian, Jie; Sun, Gengzhi; Xu, Songlin

doi:10.1016/j.carbon.2024.119441

Carbon

2024

DOI: 10.1016/j.carbon.2024.119441

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Synergistic ductility deformation and helical design of carbon nanotube fiber composites

Yangfan Wu,

Pengfei Wang,

Deya Wang

et al.

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Cited by 3 publications

References 69 publications

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Elucidating slipping behaviors between carbon nanotubes: Using nitrogen doping and electron irradiation to suppress slippage

Jeong,

Higashitani,

Kaneko

et al. 2025

Carbon

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Elucidating slipping behaviors between carbon nanotubes: Using nitrogen doping and electron irradiation to suppress slippage

Jeong,

Higashitani,

Kaneko

et al. 2025

Carbon

View full text Add to dashboard Cite

Uncovering the interface slipping and microplastic accumulation mechanism of carbon nanotube fibers under different temperatures

Wang,

et al. 2025

Carbon

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Research on Gas Emission Prediction Based on KPCA-ICSA-SVR

Liu,

Dai,

Mao

et al. 2024

Processes

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In the context of deep mining, the uncertainty of gas emission levels presents significant safety challenges for mines. This study proposes a gas emission prediction model based on Kernel Principal Component Analysis (KPCA), an Improved Crow Search Algorithm (ICSA) incorporating adaptive neighborhood search, and Support Vector Regression (SVR). Initially, data preprocessing is conducted to ensure a clean and complete dataset. Subsequently, KPCA is applied to reduce dimensionality by extracting key nonlinear features from the gas emission influencing factors, thereby enhancing computational efficiency. The ICSA is then employed to optimize SVR hyperparameters, improving the model’s optimization capabilities and generalization performance, leading to the development of a robust KPCA-ICSA-SVR prediction model. The results indicate that the KPCA-ICSA-SVR model achieves the best performance, with RMSE values of 0.17898 and 0.3071 for the training and testing sets, respectively, demonstrating superior robustness and generalization capability.

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Synergistic ductility deformation and helical design of carbon nanotube fiber composites

Cited by 3 publications

References 69 publications

Elucidating slipping behaviors between carbon nanotubes: Using nitrogen doping and electron irradiation to suppress slippage

Elucidating slipping behaviors between carbon nanotubes: Using nitrogen doping and electron irradiation to suppress slippage

Uncovering the interface slipping and microplastic accumulation mechanism of carbon nanotube fibers under different temperatures

Research on Gas Emission Prediction Based on KPCA-ICSA-SVR

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