Research on the Damage Fracture of Rock Blasting Based on Velocity Response Spectrum

Sun, Xin; Sun, Jian Sheng

doi:10.4028/www.scientific.net/amm.105-107.1521

Cited by 3 publications

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“…PPV is known as one of the critical parameters, used by several researchers, to estimate damage zones [51]. Accordingly, damage rate can be predicted if PPV is estimated in different areas in rock environments.…”

Section: Damage Prediction Using Ppvmentioning

confidence: 99%

Estimation of Damage Induced by Single-Hole Rock Blasting: A Review on Analytical, Numerical, and Experimental Solutions

et al. 2020

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This paper presents a review of the existing models for the estimation of explosion-induced crushed and cracked zones. The control of these zones is of utmost importance in the rock explosion design, since it aims at optimizing the fragmentation and, as a result, minimizing the fine grain production and recovery cycle. Moreover, this optimization can reduce the damage beyond the set border and align the excavation plan with the geometric design. The models are categorized into three groups based on the approach, i.e., analytical, numerical, and experimental approaches, and for each group, the relevant studies are classified and presented in a comprehensive manner. More specifically, in the analytical methods, the assumptions and results are described and discussed in order to provide a useful reference to judge the applicability of each model. Considering the numerical models, all commonly-used algorithms along with the simulation details and the influential parameters are reported and discussed. Finally, considering the experimental models, the emphasis is given here on presenting the most practical and widely employed laboratory models. The empirical equations derived from the models and their applications are examined in detail. In the Discussion section, the most common methods are selected and used to estimate the damage size of 13 case study problems. The results are then utilized to compare the accuracy and applicability of each selected method. Furthermore, the probabilistic analysis of the explosion-induced failure is reviewed using several structural reliability models. The selection, classification, and discussion of the models presented in this paper can be used as a reference in real engineering projects.

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Section: Damage Prediction Using Ppvmentioning

confidence: 99%