Education, Science, Technology, Innovation and Life
Open Access
Sign In

Study on Excavation Period Estimation of Deep Hole Presplitting Blasting Based on Monte Carlo

Download as PDF

DOI: 10.23977/jceup.2022.040310 | Downloads: 23 | Views: 1568

Author(s)

Gao Jiyao 1, Wei Sijiang 2,3

Affiliation(s)

1 School of Business Administration, Henan Polytechnic University, Jiaozuo, Henan, 454000, China
2 School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan, 454000, China
3 Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization, Jiaozuo, Henan, 454000, China

Corresponding Author

Gao Jiyao

ABSTRACT

In order to improve the tunneling efficiency of hard rock roadway, its construction process is better controlled. The deep hole presplitting blasting excavation process of 1605 roadway in Guhanshan Mine is taken as the object. The Oracle Crystal Ball software is used to simulate the process of roadway excavation by Monte Carlo simulation. The possible construction period time and distribution law of single cycle of roadway excavation are predicted. The sensitivity of each process is analyzed, and the bottleneck process that has a great influence on the process is found. Then, the process that needs to be controlled is further analyzed and studied. The drilling depth of the drilling process is changed, and the tunneling speed and the change of sensitivity of each process under different drilling depths are analyzed. The results show that the Monte Carlo simulation method can calculate the duration of roadway excavation, find the bottleneck process of roadway excavation process, and find the optimal parameters of its process. 

KEYWORDS

deep hole presplitting; tunnel excavation; Monte Carlo simulation; bore hole; network planning

CITE THIS PAPER

Gao Jiyao, Wei Sijiang, Study on Excavation Period Estimation of Deep Hole Presplitting Blasting Based on Monte Carlo. Journal of Civil Engineering and Urban Planning (2022) Vol. 4: 80-89. DOI: http://dx.doi.org/10.23977/jceup.2022.040310.

REFERENCES

[1] Kang H P, Jiang P F, Gao F Q, et al. Analysis on stability of rock surrounding heading faces and technical approaches for rapid heading[J]. Journal of China Coal Society,2021,46(07):2023-2045.
[2] HUANG W Y, YAN S L, LIU Z G Et Al. Research and application of water gel explosive grain on coal mine gas extraction in coal seam deep hole blasting[J]. Journal of China Coal Society,2012,37(3):472–476.
[3] Gao K, Liu Z G, Liu J et al. Study on application of deep borehole blasting to gob-side entry retaining forced roof caving in hard and compound roof deep well[J]. Chinese Journal of Rock Mechanics and Engineering,2013,32(8):1588–1594.
[4] Liu Y Q. Qiu Y C. Yao Y L. Project duration estimate based on Monte Carlo simulation[J]. Journal of Engineering Management. 2014(5) :88-92.
[5] Wang W D, Lei X M, Du X G, et al. Period-simulation of CRTSⅢ slab track based on Monte Carlo simulation and BIM [J]. Journal of Central South University: Science and Technology,2019(7):1655-1661.
[6] LIU B, CHI Y X, ZENG J L, Et Al. Progress and risk analysis of space science satellite project based on Monte Carlo simulation[J]. Science and Technology Management Research, 2021,41(13):158-166.
[7] LI T, QIU W G, ZHOU D W Et al. Study of project multi-objective reliability in network diagram based on Monte Carlo simulation[J]. Computer Engineering and Applications, 2014, 50(01):218-221.
[8] Li G Y. Monte Carlo based time risk assessment of nuclear power project[D]. Tsinghua University,2019.
[9] Huang Y. Study on the estimation of installation period for offshore platform based on Monte Carlo simulation[D]. Tianjin University,2019.
[10] Liu J, Di Y F, Dong C Z, et al. Period-simulation of tram buckle-type track structure[J]. Journal of Railway Science and Engineering,2020,17(12):3045-3051.
[11] Jia G S, Mou Q, Tang K W. Estimating construction duration for airport terminal megaprojects[J].Journal of Tongji University(Natural Science),2017,45(7):1091-1098.
[12] Li L. Construction progress control system based on network planning and its application [J]. Journal of Mathematics in Practice and Theory,2015,45(18):72-77.
[13] Kelley J E. Critical-path planning and scheduling[J]. Operations Research,1959,9(3):296-320.
[14] Xie Z Q, Han Y J, Qi Y H Et Al. A Scheduling algorithm for multi-core based on critical path and task duplication[J]. Journal of National University of Defense Technology, 2014, 29(1): 172−177.
[15] Clark, Charles E. Letter to the Editor--The PERT Model for the Distribution of an Activity Time [J]. Operations Research,1962,10(3):405-406.
[16] Hahn E D. Mixture densities for project management activity times: A robust approach to PERT[J]. European Journal of Operational Research,2008,188(2):450-459.
[17] Guo Q, He J J, Hu M. Strategic analysis of network planning progress based on Monte Carlo simulation[J]. Project Management Technology, 2013, 11(11): 66−70.
[18] Wang X H, Gao K. Comprehensive evaluation on the effects of deep-hole pre-splitting blasting in coal seam based on AHP-fuzzy mathematics method[J]. Coal Engineering,2021,53(04):126-130.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.