Research on Predicting the Mechanical Characteristics of Deep-Sea Mining Transportation Pipelines
Source abstract
Abstract
Deep-sea mining, as a critical direction for the future development of mineral resources, places significant importance on the mechanical characteristics of its transportation pipelines for the safety and efficiency of the entire mining system. This paper establishes a simulation model of the deep-sea mining system based on oceanic environmental loads and the mechanical theory of deep-sea mining transportation pipelines. Through a static analysis, the effective tension along the pipeline length, the maximum values of bending moment, and the minimum values of bending radius are determined as critical points for the dynamic analysis of pipeline mechanical characteristic monitoring. A dynamic simulation analysis of the pipeline’s mechanical characteristics was conducted, and simulation sensor data were obtained as inputs for the prediction model construction. A prediction model of pipeline mechanical characteristics based on the BP neural network was constructed, with the model’s prediction correlation coefficients all exceeding 0.95, enabling an accurate prediction of pipeline state parameters.
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Research context
OpenAlex topics: Geotechnical Engineering and Underground Structures · Mechanical stress and fatigue analysis · Industrial Engineering and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
State Key Laboratory of Deep Sea Mineral Resources Development and Utilization Technology, Changsha 410012, China
Funding
Natural Science Foundation of Hunan Province · National Key Research and Development Project of China
References (43)
Show source-provided references
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