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2021 Vol.31, Issue 6 Preview Page

Original Article

31 December 2021. pp. 508-519
Abstract
References
1
Alpaydin, E., 2020, Introduction to machine learning. MIT press. 10.7551/mitpress/13811.001.0001
2
Ambraseys, N.R. and Hendron, A.J., 1968, Dynamic behavior of rock masses. In: Stagg KG, Zienkiewicz OC (eds), Rock mechanics in engineering practices, 203-207.
3
Agrawal, H. and Mishra, A.K., 2019, Modified scaled distance regression analysis approach for prediction of blast-induced ground vibration in multi-hole blasting, Journal of Rock Mechanics and Geotechnical Engineering, 11, 202-207. 10.1016/j.jrmge.2018.07.004
4
Armaghani, D.J., Hasanipanah, M., Amnieh, H.B. and Mohamad, E. T., 2018, Feasibility of ICA in approximating ground vibration resulting from mine blasting, Neural Comput & Applic, 29, 457-465. 10.1007/s00521-016-2577-0
5
Attewell, P.B., Farmer, I.W. and Haslam, D., 1965, Prediction of Ground Vibration Parameters from Major Quarry Blasts, Mining and Minerals Engineering, Dec, 621-626.
6
Bui, X.N., Choi, Y., Atrushkevich, V., Nguyen, H., Tran, Q.H., Long, N.Q. and Hoang, H.T., 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. 10.1007/s11053-019-09573-7
7
Chandar, K.R., Sastry, V.R. and Hegde, C., 2017, A critical comparison of regression models and artificial neural networks to predict ground vibrations, Geotechnical and geological engineering, 35(2), 573-583. 10.1007/s10706-016-0126-3
8
Chen, G. and Huang, S.L., 2001, Analysis of Ground Vibrations Caused by Open Pit Production Blasts - A Case Study, Fragblast, 5.1-2, 91-107. 10.1076/frag.5.1.91.3316
9
Choi, Y.H. and Lee, S.S., 2021, Predictive Modelling for Blasting-Induced Vibrations from Open-Pit Excavations, Appl. Sci, 11, 7487. 10.3390/app11167487
10
Cortes, C. and Vapnik, V., 1995, Support vector machine. Machine learning, 20(3), 273-297. 10.1007/BF00994018
11
Coursen, D.L., 1995, Method of reducing ground vibration from delay blasting, US5388521A, https://patents.google.com/patent/ US5388521A/en.
12
Devine, J.F. and Duvall, W.I., 1963, Effect of charge weight on vibration levels for millisecond delayed quarry blasts, Seismological Research Letters, 34, 17-24. 10.1785/gssrl.34.2.16
13
Dowding, C.H., 1971, Response of Buildings to Ground Vibrations Resulting from Construction Blasting, Ph.D. Dissertation, Univ. of Illinois at Urbana-Champaign, 204.
14
Duvall, W.I. and Fogelson. D.E., 1962, Review of criteria for estimating damage to residences from blasting vibrations, US Departꠓment of the Interior, Bureau of Mines.
15
Eberhart, R., and Kennedy, J., 1995, A new optimizer using particle swarm theory, In MHS95. Proceedings of the sixth international symposium on micro machine and human science, 39-43.
16
Elevado, K., Galupino, J.G. and Gallardo, R.S., 2018, Compressive strength modelling of concrete mixed with fly ash and waste ceramics using K-nearest neighbor algorithm, International Journal of Geomate, 15(48), 169-174. 10.21660/2018.48.99305
17
Fang, Q., Nguyen, H., Bui, X.N. and Nguyen-Thoi, T., 2020, Prediction of blast-induced ground vibration in open-pit mines using a new technique based on imperialist competitive algorithm and M5Rules, Natural Resources Research, 29(2), 791-806. 10.1007/s11053-019-09577-3
18
Gad, E.F., Wilson, J.L., Moore, A.J. and Richards, A.B. 2005, Effects of Mine Blasting on Residential Structures, Journal of Performance of Constructed Facilities, 19.3, 222-228. 10.1061/(ASCE)0887-3828(2005)19:3(222)
19
Ghasemi, E., Ataei, M. and Hashemolhosseini, H., 2013, Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining, J Vib Control, 19, 755-770. 10.1177/1077546312437002
20
Ghosh, A. and Daemen, J.J.K., 1983, A Simple New Vibration Predictor (Based on Wave Propagation Laws), 24th US Symp on Rock Mech, Texas, 151-157.
21
Gustafsson, R., 1973, Swedish Blasting Technique, SPI, Gothenburg, Sweden, 211-221.
22
Habberjam, J.M. and Whetton, J.T., 1952, On the Relation Between Seismic Amplitude and Charge of Explosive Fired in Routine Blasting Operation, Geophysics, 17, 116-128. 10.1190/1.1437728
23
Hajihassani, M., Armaghani, D.J., Marto, A. and Mohamad, E.T., 2015, Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm, Bull Eng Geol Environ, 74, 873-886. 10.1007/s10064-014-0657-x
24
Hasanipanah, M., Faradonbeh, R.S., Amnieh, H.B., Armaghani, D.J. and Monjezi, M., 2017, Forecasting blast-induced ground vibration developing a CART model. Engineering with Computers, 33(2), 307-316. 10.1007/s00366-016-0475-9
25
Hasanipanah, M., Monjezi, M., Shahnazar, A., Armaghani, D.J. and Farazmand, A., 2015, Feasibility of indirect determination of blast induced ground vibration based on support vector machine, Measurement, 75, 289-297. 10.1016/j.measurement.2015.07.019
26
Lee, C.S., Hong K.S. and Cho, T.C., 2001, Estimation of usable cut-out volume considering the structural and engineering properties of rock mass, The Journal of Engineering Geology, 11, 101-113.
27
Lee, C.W., 2017, Blasting-induced vibration prediction of Jinhae Area, Changwon, Gyeongnam. J. Korean Soc. Hazard Mitig, 17, 73-85. 10.9798/KOSHAM.2017.17.4.73
28
Monjezi, M., Khoshalan, H.A. and Varjani, A.Y., 2012, Prediction of flyrock and backbreak in open pit blasting operation: a neuro-genetic approach, Arabian Journal of Geosciences, 5(3), 441-448. 10.1007/s12517-010-0185-3
29
Morris, G., 1950, Vibration due to blasting and their effects on building structure. The Engineer, London, UK, 394-395.
30
Nguyen, H., 2019, Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam, SN Applied Sciences, 1(4), 1-10. 10.1007/s42452-019-0295-9
31
Nguyen, H., Bui, X.N. and Moayedi,. H., 2019b, A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine, Acta Geophysica, 67(4), 1025-1037. 10.1007/s11600-019-00304-3
32
Nguyen, H., Bui, X.N., Bui, H.B. and Cuong, D.T., 2019a, Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study, Acta Geophysica, 67(2), 477-490. 10.1007/s11600-019-00268-4
33
Nguyen, H., Choi, Y., Bui, X.N., and Nguyen, Thoi. T., 2020a, Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms, Sensors, 20, 132. 10.3390/s2001013231878226PMC6983179
34
Nguyen, H., Drebenstedt, C., Bui, X.N. and Bui, D.T., 2020b, Prediction of blast-induced ground vibration in an open-pit mine by a novel hybrid model based on clustering and artificial neural network, Natural Resources Research, 29(2), 691-709. 10.1007/s11053-019-09470-z
35
Nugraha, Y.R., Wibawa, A.P. and Zaeni, I.A.E., 2019, Particle Swarm Optimization-Support Vector Machine (PSO-SVM) Algorithm for Journal Rank Classification, In 2019 2nd International Conference of Computer and Informatics Engineering (IC2IE), 69-73. 10.1109/IC2IE47452.2019.8940822
36
Pandya, D.H., Upadhyay, S.H., and Harsha, S.P., 2013, Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN, Expert Systems with Applications, 40(10), 4137-4145. 10.1016/j.eswa.2013.01.033
37
Quiros, A.R.F., Bedruz, R.A., Uy, A.C., Abad, A., Bandala, A., Dadios, E.P. and Fernando, A., 2017, A kNN-based approach for the machine vision of character recognition of license plate numbers, In TENCON 2017-2017 IEEE Region 10 Conference, 1081-1086. 10.1109/TENCON.2017.8228018
38
Roy, P.P., 1991, Prediction and Control of Ground Vibrations due to Blasting, Colliery Gaurdian, 239, 215-219.
39
Shang, Y., Nguyen, H., Bui, X.N., Tran, Q.H. and Moayedi, H., 2020, A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network. Nat Resour Res, 29, 723-737. 10.1007/s11053-019-09503-7
40
Xu, S., Li, Y., Liu, J. and Zhang, F., 2019, Optimization of blasting parameters for an underground mine through prediction of blasting vibration, Journal of Vibration and Control, 25(9), 1585-1595. 10.1177/1077546319829938
41
Zhang, X., Nguyen, H., Bui, X.N., Tran, Q.H., Nguyen, D.A., Bui, D.T. and Moayedi, H., 2020, Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost. Nat Resour Res, 29, 711-721. 10.1007/s11053-019-09492-7
42
Zhou, J., Shi, X. and Li, X., 2016, Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining, Journal of Vibration and Control, 22(19), 3986-3997. 10.1177/1077546314568172
Information
  • Publisher :Korean Society for Rock Mechanics and Rock Engineering
  • Publisher(Ko) :한국암반공학회
  • Journal Title :Tunnel and Underground Space
  • Journal Title(Ko) :터널과 지하공간
  • Volume : 31
  • No :6
  • Pages :508-519
  • Received Date :2021. 11. 22
  • Revised Date :2021. 12. 10
  • Accepted Date : 2021. 12. 10