Dynamic responses of the active hydraulic pneumatic tensioner for a TLP in internal solitary waves

Wang, Jianwei; Liu, Pengfa; Liu, Xuchu; Wang, Yuqing

doi:10.1016/j.oceaneng.2023.114023

Cited by 10 publications

(1 citation statement)

References 21 publications

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“…5 c. The co-simulation model is established according to the actual caving mechanism, which belongs to ZF5600/16.5/26 hydraulic support, as shown in Fig. 5 d. Adams and AMESim can realize complex mechanical–hydraulic co-simulation by configuring the interface environment variables 33 , 34 . In the co-simulation process, the second is divided into n steps.…”

Section: Model Establishmentmentioning

confidence: 99%

Vibration response difference of caving mechanism under coal rock impact based on mechanical–hydraulic coupling

Zhu,

Zeng,

Wan

et al. 2023

Sci Rep

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Top coal caving in fully mechanized caving mining will cause an irregular impact on the caving mechanism of hydraulic support. The vibration response of the caving mechanism varies under different forms of impact. This response difference is a prerequisite for new coal rock identification technology in intelligent mining. Therefore, this work studies the difference in vibration response of the caving mechanism under different forms of impact. An innovative mechanical–hydraulic coupling system model of the caving mechanism impact by coal rock is established. The metal plate impact test proved the significant difference in vibration response of the caving mechanism under coal rock impact of different materials. Afterward, a more improved mechanical–hydraulic co-simulation model analyzed the difference in the vibration response of the caving mechanism under different rock materials, volumes, velocities and impact positions. The results show that the vibration response is more intense under rock impact than under coal impact. A lower position, a faster velocity and a larger volume correspond to a more noticeable response difference in the caving mechanism. The vibration and fault sensitive areas of the caving mechanism are determined. This study has a reference significance for improving the caving mechanism's structural design and failure prevention. The conclusions provide guidance for a new intelligent coal rock identification technology based on vibration signals.

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Section: Model Establishmentmentioning

confidence: 99%