Changsha Mining and Metallurgy Research Institute (China)

Coupled adaptive neural network control for active suspension of deep-sea mining tracked vehicles under hydrodynamic effects and multiple parametric uncertainties

Deep-sea mining tracked vehicles are subject to substantial parametric uncertainty from hydrodynamic effects, soft-seabed interaction, suspension nonlinearities, and actuator degradation. This paper proposes a coupled adaptive neural network (CANN) strategy for an 8-DOF six-wheel...

Numerical study on track-sediment dynamics and travel stability of deep-sea mining vehicles

The travel stability of deep-sea mining vehicles is critical for ensuring the operational efficiency of deep-sea mining systems. This study developed a numerical travel model using the MBD-DEM method and validated its accuracy through travel experiments. Considering the effects o...

A comparative experiment of telluric field frequency selection method and audio-magnetotelluric method next a water well

The telluric field frequency selection method (TFFSM) has been proposed for more than 40 years and has achieved good exploration results in groundwater exploration. The cause of its anomaly formation has always been one of the issues that people are concerned about. This article...

Preparation Method of Simulated Deep Sandstone Materials Based on Dual Equivalence of Principal Components and Mechanical Properties, and Quantitative Evaluation of Simulation Effectiveness

Intact deep sandstone cores are scarce, heterogeneous with poorly repeatable, limiting systematic laboratory studies of deep-rock mechanical behavior. This study selected dense sandstone recovered from 1050 m in the Pingdingshan mining area as the prototype system for the develop...