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RESEARCH PAPER · Acta Mechanica Sinica · 2024

Predicting surface roughness of carbon/phenolic composites in extreme environments using machine learning

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Predicting surface roughness of carbon/phenolic composites in extreme environments using machine learningOriginalSpatial vibration analysis of thin-walled box girders subject to moving random loads considering the shear effect2Model predictive control based on LSTM neural network for maglev vehicle’ suspension system3A mesoscopic thermochemical ablation-erosion coupling model of 3D woven C/C composites under high-speed airflow shear5Prediction of grain boundary energy and understanding of grain boundary structure-energy relationship by machine learning0A Theoretical Model for Structural Health Monitoring of the Thermal-Mechanical Behaviour of Plates Under Combined Laser Irradiation and Airflow0

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  1. Spatial vibration analysis of thin-walled box girders subject to moving random loads considering the shear effect

    Acta Mechanica Sinica · 2025-05-09

    Yong Cai, Laifu Zhang, Qiqi Feng, Xiaoyong Lv

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  2. Model predictive control based on LSTM neural network for maglev vehicle’ suspension system

    Acta Mechanica Sinica · 2025-08-25

    Mengjuan Liu, Han C. Wu, Xin Liang, Jiali Liu, Xiaohui Zeng, Kaixuan Hu

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  3. A mesoscopic thermochemical ablation-erosion coupling model of 3D woven C/C composites under high-speed airflow shear

    Aerospace Science and Technology · 2025-12-26

    Jing Yang, Jingran Ge, Jun Liang

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  4. Prediction of grain boundary energy and understanding of grain boundary structure-energy relationship by machine learning

    Acta Mechanica Sinica · 2026-07-28

    Songjiang Lu

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  5. A Theoretical Model for Structural Health Monitoring of the Thermal-Mechanical Behaviour of Plates Under Combined Laser Irradiation and Airflow

    Materials · 2026-10-09

    Qi Pu, Xiaodong Jia, Yizhuo Gui, Shaozun Hong, Te Ma, Hongwei Song, Cheng Qiu

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