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Predicting Single-hole Blast-induced Fracture Zone Using Finite Element Analysis

Authors
자와드우르레흐만박두희
Issue Date
Jul-2024
Publisher
한국지반환경공학회
Keywords
Blast-induced fractures; Single-hole blasting; Empirical fracture zone; RHT model; wave attenuation; Numerical modeling
Citation
한국지반환경공학회 논문집, v.25, no.7, pp 5 - 19
Pages
15
Indexed
KCI
Journal Title
한국지반환경공학회 논문집
Volume
25
Number
7
Start Page
5
End Page
19
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/197608
DOI
10.14481/jkges.2024.25.7.5
ISSN
1598-0820
2714-1233
Abstract
During the blasting process, a fracture zone is formed in the vicinity of the blast hole. Any damage that extends beyond the excavation boundary line necessitates the implementation of an additional support system to assure safety. Typically, fracture zone radius is estimated from blast hole pressure using theoretical methods due to its simplicity. However, linear charge concentration (kg/m) is used for tunnel blasting. This paper compiles Swedish experimental datasets to estimate the radius of fracture zones based on linear charge concentration. Further numerical analyses are performed in LS-DYNA for coupled single-hole blasting. The Riedel-Hiermaier-Thoma (RHT) model has been selected as the constitutive model for this investigation. The numerical model is validated against small-scale laboratory tests. Parametric studies are conducted to predict fracture zones in granite and sandstone rocks using two kinds of explosives, PETN and AFNO. The analyses evaluate ten types of blast hole sizes, ranging from 17 to 100 mm. The results indicate that granite has a larger fracture zone than sandstone, and the PETN explosive predicts more damage than ANFO. Smaller blast holes exhibit smaller fracture zones in comparison to larger blast holes. Wave propagation is more rapidly attenuated in granite than in sandstone. Subsequently, the predicted fracture zone outcomes are compared with the empirical dataset. Fracture zones of medium blast hole diameter align well with the experimental data set. A predictive equation is derived from the data set, which may be used to evaluate blast design to manage fracture zones beyond the excavation line.
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