Determination of rational technological conditions for the use of pump dredger suction heads
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- Category: Content №6 2025
- Last Updated on 25 December 2025
- Published on 30 November -0001
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Authors:
A. Bondarenko, orcid.org/0000-0002-7666-6752, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. Pavlychenko, orcid.org/0000-0003-4652-9180, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O. Shustov*, orcid.org/0000-0002-2738-9891, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O. Cherniaiev, orcid.org/0000-0001-8288-4011, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (6): 035 - 042
https://doi.org/10.33271/nvngu/2025-6/035
Abstract:
Purpose. Development of theoretical foundations for determining rational technological conditions for the use of pump dredger suction heads in underwater mining of unconsolidated minerals.
Methodology. In calculating the volume of complex geometric figures formed by the intersection of cones of different heights, whose vertices lie in the same plane, a standard method of integration was applied.
Findings. The feasibility of using funnel technology in underwater soil mining has been substantiated. An analysis of technological schemes for the use of pump dredger suction heads intended for underwater mining of unconsolidated minerals has been performed. As a limiting criterion for selecting the layout scheme of mining funnels, it is proposed to use the dimensionless coefficient of mineral recovery. For comparative analysis, the most suitable schemes for moving pump dredger suction heads with final positions of funnel centers were proposed – referred to as the square-nest and triangular-nest schemes. Graphic representations of the mined space of the underwater quarry using the funnel method with square-nest and triangular-nest layouts are provided. Based on the analysis, it is assumed that during the mining of unconsolidated soil using a single suction pipe, the extraction funnel will take the shape of a cone. It is proposed to determine the volume of soil extracted from such a funnel by calculating the sum of volumes of the following geometric figures: parallelepiped; a complex figure obtained by cutting off the volume of a truncated cone with planes parallel to its axis; and cone.
Originality. For the first time, it is proposed to determine the volume of soil extracted from an underwater dredging site of a suction dredger using the integration method. Theoretical dependencies were obtained to determine the extraction coefficients when applying square-nest and triangular-nest schemes for repositioning the suction head during funnel-type underwater mining operations.
Practical value. The calculated values of extraction coefficients for the square-nest and triangular-nest schemes of repositioning the suction head will enable efficient use of the funnel mining method. The technological feasibility of applying the triangular-nest scheme has been established according to the criterion of the mineral extraction coefficient from the underwater mining site.
Keywords: suction head, underwater mining, extraction coefficient, technological conditions
References.
1. Bondarenko, A.O., Shustov, O.O., Pavlychenko, A.V., & Adamchuk, A.A. (2023). Substantiation of technological resource-saving conditions for the use of equipment in the sand deposit mining. IOP Conference Series: Earth and Environmental Science, 1269(1), 012024. https://doi.org/10.1088/1755-1315/1269/1/012024
2. Hao, G., Yu, M., & Su, Z. (2020). Study on optimization of rake head density of suction hopper dredger based on bat algorithm and extreme learning machine. MATEC Web of Conferences, 309, 04018. https://doi.org/10.1051/matecconf/202030904018
3. Bai, S., Li, M., Kong, R., Han, S., Li, H., & Qin, L. (2021). Data mining approach to construction productivity prediction for cutter suction dredgers. Automation in Construction, 122, 103470. https://doi.org/10.1016/j.autcon.2020.103470
4. Ozaki, M. (2018). Dredging technologies making use of cutter suction, grab and backhoe dredgers. Marine Engineering, 53(6), 852-855. https://doi.org/10.5988/jime.53.852
5. Bondarenko, A., Shustov, O., & Adamchuk, A. (2023). Studying the interaction process of a solid particles flow with the hydraulic classifier flowing part. IOP Conference Series: Earth and Environmental Science, 1254(1), 012047. https://doi.org/10.1088/1755-1315/1254/1/012047
6. Sobko, B., Lozhnikov, O., & Drebenshtedt, C. (2020). Investigation of the influence of flooded bench hydraulic mining parameters on sludge pond formation in the pit residual space. E3S Web of Conferences, 168, 00037. EDP Sciences. https://doi.org/10.1051/e3sconf/202016800037
7. Bai, S., Li, M., Lu, Q., Tian, H., & Qin, L. (2022). Global time optimization method for dredging construction cycles of trailing suction hopper dredger based on Grey system model. Journal of Construction Engineering and Management, 148(2), 2239. https://doi.org/10.1061/(ASCE)CO.19437862.0002239
8. Cheng, T., Lu, Q., Kang, H., Fan, Z., & Bai, S. (2022). Productivity prediction and analysis method of large trailing suction hopper dredger based on construction big data. Buildings, 12(10), 1505. https://doi.org/10.3390/buildings12101505
9. Bai, Z., Hu, X., Wang, B., Hu, Z., Yang, X., & Zhao, T. (2021). Construction of fairways and reconstruction of channels using rotarybucket dredgers and calculation of soilcollecting devices. E3S Web of Conferences, 274, 13003. https://doi.org/10.1051/e3sconf/202127413003
10. Cherniaiev, O., Anisimov, O., Saik, P., & Akimov, O. (2024). Theoretical substantiation of water inflow into the mined-out space of quarries mining hard-rock building materials. IOP Conference Series: Earth and Environmental Science, 1319(1), 012002. https://doi.org/10.1088/1755-1315/1319/1/012004
11. Pelevin, L. Ye., Gorbatyuk, Ie. V., & Zaichenko, S. (2017). Developing a mathematical substantiation for the physical modelling of the soil ripping equipment work process. EasternEuropean Journal of Enterprise Technologies, 6(2(90)), 52-60. https://doi.org/10.15587/17294061.2017.118429
12. Cherniaiev, O., Anisimov, O., Dreshpak, O., & Shustov, O. (2025). Assessment of the mining impact at the Staroihrenivske river sand deposit development on the coastal zone stability. IOP Conference Series: Earth and Environmental Science, 1491, 012019. https://doi.org/10.1088/1755-1315/1491/1/012019
13. Fu, J., Tian, H., Song, L., Li, M., Bai, S., & Ren, Q. (2021). Productivity estimation of cutter suction dredger operation through data mining and learning from realtime big data. Engineering, Construction and Architectural Management, 28(7), 2023-2041. https://doi.org/10.1108/ECAM-05-2020-0357
14. Matei, V., & Koroviakа, Y. (2019). Improving operation efficiency of transportation vehicles equipped with a flexible tractive element under conditions of mining enterprises. E3S Web of Conferences, 123, 01040. https://doi.org/10.1051/e3sconf/201912301040
15. Snyder, M., Moftakhari, H., & Hossain, F. (2023). Statistical modeling of fine sediments dredged using a variable area dredging suction head to improve water quality. Hydrology, 10(3), 98. https://doi.org/
10.3390/hydrology10030098
16. Geng, H., Zhang, W., Zhang, Z., & Li, X. (2020). An experimental study of the geometric performance of the hydrosuction dredging system. Acta Geophysica, 68, 1075-1088. https://doi.org/10.1007/s11600-020-00524-y
17. Setiawan, R., (2015). Parametric analysis on offshore dredging process using cutter suction dredgers. ASEAN Engineering Journal, 6(1), 37-46. https://doi.org/10.11113/aej.v6.15477
18. Chen, X. J., Miedema, S. A., & van Rhee, C. (2015). Numerical modeling of excavation process in dredging engineering. Procedia Engineering, 102, 804-814. https://doi.org/10.1016/j.proeng.2015.01.194
19. Adamchuk, A., Pavlychenko, A., Shustov, O., & Bondarenko, A. (2024). Research of land-saving schemes of mining the horizontal sedimentary mineral deposits. IOP Conference Series: Earth and Environmental Science, 1319(1), 012012. https://doi.org/10.1088/1755-1315/1319/1/012012
20. Bondarenko, A. O. (2018). Theoretical bases of pulp suction process in the shallow dredge underwater face. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (3), 22-29. https://doi.org/10.29202/nvngu/2018-3/4
21. Chebanov, M., Borys, S., & Mykhailo, P. (2024). Substantiating the rational parameters for a complicated non-transport system when mining low-thickness fireclay deposits. IOP Conference Series: Earth and Environmental Science, 2024, 1319(1), 012001. https://doi.org/10.1088/1755-1315/1319/1/012001
22. Cherep, A., & Pilova, D. (2024). Justification for mining overburden without the use of conveyor transport at the Pivnichnyi open pit of the Pokrovskyi mining and processing enterprise. March 2024 IOP Conference Series Earth and Environmental Science, 1319(1), 012002. https://doi.org/10.1088/1755-1315/1319/1/012002
23. Wei, C. Y., Ni, F. S., & Chen, X. J. (2023). Cutting state estimation and time series prediction using deep learning for cutter suction dredger. Applied Ocean Research, 134, 103515. https://doi.org/10.1016/j.apor.2023.103515
24. Yang, J. B., Ni, F. S., & Wei, C. Y. (2015). A BP neural network model for predicting the production of a cutter suction dredger. 3 rd International Conference on Material, Mechanical and Manufacturing Engineering, (pp. 1221-1226). https://doi.org/10.1109/IC3ME.2015
25. Lai, H. H., Chang, K. H., & Lin, C. L. (2019). A novel method for evaluating dredging productivity using a data envelopment analysisbased technique. Mathematical Problems in Engineering, 2019, 5130835. https://doi.org/10.1155/2019/5130835
26. Liu, Y., Ma, Q., & Wang, J. (2016). Flow field analysis of cutter head for cutter suction dredgers. MATEC Web of Conferences, 63, 03048. EDP Sciences. https://doi.org/10.1051/matecconf/20166303048
27. Luo, Y., Liu, H., & Wang, Y. (2023). Optimization design of a winch suction underwater dredging robot. Journal of Marine Science and Engineering, 12(5), 741. https://doi.org/10.3390/jmse12050741
28. Wang, Y., Li, H., Fan, S. D., & Jiang, P. (2022). The replacement of dysfunctional sensors based on the digital twin method during the cutter suction dredger construction process. Measurement, 189, 110702. https://doi.org/10.1016/j.measurement.2022.110702
29. Han, S., Li, M. C., Tian, H. J., Qin, L., Yu, Y., Ma, J.,..., & Fan, S. D. (2022). Intelligent shortterm forecasting for mud concentration in CSD dredging construction. Ocean Engineering, 266, 112515. https://doi.org/10.1016/j.oceaneng.2022.112515
30. Wang, S., Zhang, W., & Li, Y. (2019). Research on the automatic control system of cutter suction dredger based on GPS. Journal of Marine Science and Technology, 27(1), 170-178. https://doi.org/10.6119/JMST.201902_27(1).170
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