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Exploring the Relation between Seismic Coefficient and Rock Properties Through Field Measurements and Empirical Model for Evaluating the Effect of Blast-Induced Ground Vibration in OpenPit Mines: A Case Study at the Thuong Tan III Quarry (Vietnam)

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Blasting is one of the most effective methods for fragmenting rock in quarries. Nevertheless, its adverse effects are significant, especially blast-induced ground vibration. Field measurement and empirical equations are simple methods to determine and estimate the intensity of blast-induced ground vibration. However, we cannot evaluate the effects of blast-induced ground vibration on the surrounding environment based on these outcomes. Therefore, this study explores the relation between seismic coefficient and rock properties through field measurements and an empirical model for evaluating the effect of blast-induced ground vibration in open-pit mines. Accordingly, the seismic coefficient (K) is considered the main objective in this study. Firstly, it was determined based on the rock properties. Subsequently, an empirical model for estimating blast-induced ground vibration was developed based on field measurements. This empirical equation was then expanded to determine K to check whether it matches the determined K by the rock properties. Finally, it was used as the threshold to determine the maximum explosive charged per delay to ensure the safety of the surrounding environment from blastinduced ground vibration. For this aim, the Thuong Tan III quarry (in Binh Duong province, Vietnam) was selected as a case study. Fifth-teen blasting events with a total of 75 blast-induced ground vibration values were recorded and collected. An empirical equation for estimating blast-induced ground vibration was then developed based on the collected dataset, and K was determined in the range of 539 to 713 for the Thuong Tan III quarry. Based on the measured blast-induced ground vibrations, developed empirical model, and K values, the Phase 2 software was applied to simulate the effects of blast-induced ground vibration on the stability of slopes as one of the impacts on the surrounding environment. From the simulation results, we can determine the maximum explosive charged per delay for each type of rock to ensure the stability of the slope.
Rocznik
Tom
Strony
567--577
Opis fizyczny
Bibliogr. 30 poz., rys., tab., wykr., zdj.
Twórcy
  • Hanoi University of Mining and Geology, 18 Viet street, Hanoi, Vietnam
Bibliografia
  • 1. Bui, X.-N., Choi, Y., Atrushkevich, V., Nguyen, H., Tran, Q.-H., Long, N. Q., et al., 2020. Prediction of Blast-Induced Ground Vibration Intensity in Open-Pit Mines Using Unmanned Aerial Vehicle and a Novel Intelligence System. Natural Resources Research, 29(2): 771-790, doi:10.1007/s11053-019-09573-7.
  • 2. Nguyen, H., Bui, X.-N., & Moayedi, H., 2019a. A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine. [journal article]. Acta Geophysica, 67(4): 1025-1037, doi:10.1007/s11600-019-00304-3.
  • 3. Nguyen, H., Bui., X.-N., Tran, Q.-H., Le, T.-Q., & Do, N.-H., 2019b. Evaluating and predicting blast-induced ground vibration in open-cast mine using ANN: A case study in Vietnam. SN Applied Sciences, 1(1): 125.
  • 4. Ding, Z., Nguyen, H., Bui, X.-N., Zhou, J., & Moayedi, H., 2020. Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms. Natural Resources Research, 29(2): 751-769, doi:10.1007/s11053-019-09548-8.
  • 5. Armaghani, D. J., Momeni, E., Abad, S. V. A. N. K., & Khandelwal, M., 2015. Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting. Environmental Earth Sciences, 74(4): 2845-2860.
  • 6. Khandelwal, M., & Singh, T., 2006. Prediction of blast induced ground vibrations and frequency in opencast mine: a neural network approach. Journal of sound and vibration, 289(4): 711-725.
  • 7. Monjezi, M., Hasanipanah, M., & Khandelwal, M., 2013. Evaluation and prediction of blastinduced ground vibration at Shur River Dam, Iran, by artificial neural network. Neural Computing and Applications, 22(7-8): 1637-1643.
  • 8. Evaluation of the impact during and after mining on the cote -100m of Thuong Tan III and Thuong Tan IV quarries, Thuong Tan commune, Bac Tan Uyen district, Binh Duong province, Code 3209/QD-UBND Binh Duong, Chairman, Acceptance 24/01/2019.
  • 9. Bui Xuan Nam., Lee Changwoo., Nguyen Quoc Long., Adeel Ahmad., Cao Xuan Cuong., Nguyen Viet Nghia., Le Van Canh., Nguyen Hoang., Le Qui Thao., Duong Thuy Huong., Nguyen Van Duc., 2019. Use of Unmanned Aerial Vehicles for 3D topographic Mapping and Monitoring the Air Quality of Open-pit Mines, Inzynieria Mineralna, 2: 222-238.
  • 10. Nguyen Quoc Long., Ropesh Goyal., Bui Khac Luyen., Le Van Canh., Cao Xuan Cuong., Pham Van Chung., Bui Ngoc Quy., Xuan-Nam Bui., 2020. Influence of Flight Height on The Accuracy of UAV Derived Digital Elevation Model of Complex Terrain, Inzynieria Mineralna, 1: 179-187.
  • 11. Le Van Canh., Cao Xuan Cuong., Le Hong Viet., Dinh Tien., 2020. Volume computation of quarries in Vietnam based on Unmanned Aerial Vehicle (UAV) data (in Vietnamese). Journal of Mining and Earth Sciences. 61, 1: 21-30. DOI:https://doi.org/10.46326/JMES.2020.61(1): 03.
  • 12. Nguyen Quoc Long., Vo Ngoc Dung., Vo Chi My., 2020. Advanced Mining Geomatic Technologies Serving Open-Pit Mining Operation in Vietnam (in Vietnamese). Journal of Mining and Earth Sciences. 61(5): 125-133. DOI:https://doi.org/10.46326/JMES.KTLT2020.11.
  • 13. Nguyen Viet Nghia., 2020. Building DEM for deep open-pit coal mines using DJI Inspire 2 (in Vietnamese). Journal of Mining and Earth Sciences. 61(1): 1-10. DOI:https://doi.org/10.46326/JMES.2020.61(1).01.
  • 14. L. Q. Nguyen, 2021. Accuracy assessment of open - pit mine’s digital surface models generated using photos captured by Unmanned Aerial Vehicles in the post - processing kinematic mode (in Vietnamese). Journal of Mining and Earth Sciences, Vol. 62, no. 4, Aug. 2021, p 38-47, doi:10.46326/JMES.2021.62(4).05.
  • 15. Nguyen, Q. L., Le, T. T. H., Tong, S. S., Kim, T. T. H., (2020). UAV Photogrammetry-Based For Open Pit Coal Mine Large Scale Mapping, Case Studies In Cam Pha City, Vietnam. Sustainable Development of Mountain Territories, 12(4), 501-509. DOI: 10.21177/1998-4502-2020-12-4-501-509.
  • 16. Nguyen Q. L., Ropesh G., Bui, K. L, Cao X. C., Le V. C., Nguyen Q. M., Xuan-Nam B., (2021). Optimal Choice of the Number of Ground Control Points for Developing Precise DSM using LightWeight UAV in Small and Medium-Sized Open-Pit Mine. Archives of Mining Sciences, 66 (3), p 369-384, doi: 10.24425/ams.2021.138594.
  • 17. Tran Quang Hieu., Hoang Nguyen., Xuan-Nam Bui., Carsten Drebenstedt., Belin Vladimir Arnoldovich., Victor Atrushkevich., 2021. Evaluating the Effect of Meteorological Conditions on Blast-Induced Air Over-Pressure in Open Pit Coal Mines, Xuan-Nam Bui et al. (Eds.): Proceedings of the International Conference on Innovationsfor Sustainable and Responsible Mining. 1, Springer (indexed by Scopus), https://doi.org/10.1007/978-3-030-60839-2_9.
  • 18. Nguyen Hoang., Bui Xuan Nam., Tran Quang Hieu., Le Thi Huong Giang., 2020. A novel soft computing model for predicting blast - induced ground vibration in open - pit mines using gene expression programming (in Vietnamese). Journal of Mining and Earth Sciences. 61(5): 107-116. DOI:https://doi.org/10.46326/JMES.KTLT2020.09.
  • 19. Tran Quang Hieu., Bui Xuan Nam., Nguyen Hoang., Nguyen Anh Tuan., Nguyen Quoc Long., 2020. Applicable posssibility of advanced technologies and equipment in surface mines of Vietnam. Journal of Mining and Earth Sciences. 61(5): 16-32. DOI:https://doi.org/10.46326/JMES.KTLT2020.02.
  • 20. Carcione, J.M., Tinivella, U., 2000. Bottom simulating reflectors: seismic velocities and AVO effects. 65: 54-67.
  • 21. С.В. Густов., Л.В., 2012. Суровицкий. Влияние диаметра заряда на коэффициент, характеризующий кдельный сейсмический эффект в управнении садовоооского,– 61 с.
  • 22. Лобова Г.А., 2012. Полевая геофизика и геофизические исследования скважин: методические указания по выполнению домашнего задания по дисциплинам «Полевая геофизика» и «Геофизические исследования скважин» (заочная форма обучения). – Томский политехнический университет, 16с.
  • 23. J.P.Castagna., M.L. Batzle., and R.L.Eastwood., 1985. Relationship between compressional-wave and shearwave velocities in clastic silicate rocks, Geophysics, 50: 571-581.
  • 24. Per Avseth., et al., 2008. "Quantitative Seismic Interpretation", Cambridge University Press, 2005P.F. Anderson and L.R. Lines, "A comparison of inversion techniques for estimating Vp/Vs from 3D seismic data", CREWES Research Report. 20.
  • 25. Dam Trong Thang., Bui Xuan Nam., Tran Quang Hieu., 2014, Blasting in mining and structures. Publishing house of natural and technology science. Ha Noi. 454.
  • 26. QCVN 01:2019/BCT., National technical regulation on safety in the storage, transportation, use and disposal of industrial explosive materials.
  • 27. Садовский М.А., 2004. Оценка сейсмически опасных зон при взрывах // В кн. М.А.Садовский. Избранные труды: Геофизика и физика взрыва. - М.: Наука. С. 93-102.
  • 28. Le Dinh Tan., 2000. The dynamic calculation of underground structures under impacting of blasting wave. Doctor thesis. Military Technical Academy. Ha Noi.
  • 29. Martin Stolárik,. Modeling of vibration effect within small distances, Acta Geodyn. Geomater. 2008. 5(2): 137-146.
  • 30. Tran Tuan Minh., Bui Xuan Nam., Tran Quang Hieu., Nguyen Quang Huy., 2018. Research on the effects of the blasting pressure values on the stability of concrete lining in the existing tunnel during expansion auxiliary tunnel in Hai Van pass project of Viet Nam, Журнал «Устойчивое развитие горных территорий», 3(37): 411-419.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e037f3fa-6061-4f8e-a8f4-015fddb73f41
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