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Development and Validation of a Dynamics Simulation Platform for Deep-Sea Mining Vehicles
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Junlin LIU1, Saifeng PENG1, 2, Hao ZHENG1, 2
Mining and Metallurgical Engineering | 2026, 46(3) : 61 - 67
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Mining and Metallurgical Engineering | 2026, 46(3): 61-67
• SPECIAL TOPIC ON BREAKTHROUGHS IN KEY TECHNOLOGIES AND COORDINATED DEVELOPMENT OF INDUSTRIAL CHAINS FOR DEEP-SEA MINERAL RESOURCE EXPLOITATION •
Development and Validation of a Dynamics Simulation Platform for Deep-Sea Mining Vehicles
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Junlin LIU1, Saifeng PENG1, 2, Hao ZHENG1, 2
Affiliations
  • 1.Changsha Research Institute of Mining and Metallurgy Co. Ltd., Changsha 410012, Hunan, China
  • 2.State Key Laboratory of Exploitation and Utilization of Deep-Sea Mineral Resources, Changsha 410012, Hunan, China
doi: 10.3969/j.issn.0253-6099.2026.03.007
Outline
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To address the problems of high costs and significant risks associated with at-sea tests of a full-scale deep-sea tracked mining vehicle, as well as the difficulty of existing simulation platforms in balancing physical fidelity and computational real-time performance, a co-simulation platform was developed and validated based on Project Chrono and ROS 2. With Chrono as the physics solving core and ROS 2 as the communication framework, the platform integrates a soil contact model and the Morison hydrodynamic model. Validation results demonstrate that the error of the simulated initial sinkage relative to the theoretical value is 2.4%, and the tractive force-slip ratio curve yields a coefficient of determination (R2) of 0.98 when fitted with theoretical values. Under the optimal engineering mesh resolution, the Real-Time Factor (RTF) stabilizes between 1.2 and 1.5, meeting the requirements of hardware-in-the-loop testing. This platform is available foe secondary development and also boasts higher computational efficiency, making it superior to the mainstream commercial softwares such as Adams and RecurDyn. Featuring both engineering-level physical fidelity and open-source extensibility, this platform provides a reliable virtual testing environment for the iteration of control algorithms and prior dynamic analysis of deep-sea mining equipment.

deep-sea mining  /  mining vehicle  /  vehicle dynamics  /  tracked mining vehicle  /  multi-physics simulation  /  Project Chrono  /  simulation platform  /  tractive force  /  slip ratio  /  machine learning  /  virtual testing
刘俊麟, 彭赛锋, 郑皓. 深海采矿车动力学仿真平台的构建与验证. 矿冶工程杂志, 2026 , 46 (3) : 61 -67 . DOI: 10.3969/j.issn.0253-6099.2026.03.007
Junlin LIU, Saifeng PENG, Hao ZHENG. Development and Validation of a Dynamics Simulation Platform for Deep-Sea Mining Vehicles[J]. Mining and Metallurgical Engineering, 2026 , 46 (3) : 61 -67 . DOI: 10.3969/j.issn.0253-6099.2026.03.007
Year 2026 volume 46 Issue 3
101
11
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doi: 10.3969/j.issn.0253-6099.2026.03.007
  • Receive Date:2026-03-09
  • Online Date:2026-10-08
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  • Received:2026-03-09
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Affiliations
    1.Changsha Research Institute of Mining and Metallurgy Co. Ltd., Changsha 410012, Hunan, China
    2.State Key Laboratory of Exploitation and Utilization of Deep-Sea Mineral Resources, Changsha 410012, Hunan, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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