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Probability-Statistics-Based Safety Control of Blast Vibration for Shallow-Buried Underground Soft-Rock Engineering
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Chaopeng LI1, Haixian HUANG2, Haiqian LI2, Xiaoliang LI1, Qipeng YE1, Haiyong LU1, Qiyue LI2
Mining and Metallurgical Engineering | 2026, 46(4) : 8 - 15
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Mining and Metallurgical Engineering | 2026, 46(4): 8-15
• MINING •
Probability-Statistics-Based Safety Control of Blast Vibration for Shallow-Buried Underground Soft-Rock Engineering
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Chaopeng LI1, Haixian HUANG2, Haiqian LI2, Xiaoliang LI1, Qipeng YE1, Haiyong LU1, Qiyue LI2
Affiliations
  • 1.Gansu Hesai Highway Construction Development Co., Ltd., Gannan 747000, Gansu, China
  • 2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
doi: 10.3969/j.issn.0253-6099.2026.04.002
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As for underground engineering projects in shallow-buried soft rock, extensive blast vibration monitoring was carried out along the axial direction on the tunnel ground surface. Based on the monitoring data, probability distribution analysis confirmed that the peak particle velocity (PPV) followed the lognormal distribution. Considering the randomness of PPV, the lognormal distribution theory and confidenc-level analysis method were introduced. A blast vibration safety prediction and control model was established by combining the PPV attenuation model with the probability distribution function, and then applied to the sensitive sections of the project. The results show that in a blasting scheme with the maximum charge per delay at 43.2 kg, the horizontal distance between sensitive point 2# and the blast source should be greater than 35.044 m to satisfy the safety criterion of a 95% confidence; while in a scheme with the maximum charge per delay at 18.6 kg, that horizontal distance shall exceed 25.660 m to meet the 95% confidence. On the basis of this model, differentiated blasting control schemes are formulated for sensitive tunnel sections. This proposed method provides theoretical support for blasting operation for similar underground softrock projects.

underground engineering  /  blast vibration  /  peak particle velocity  /  lognormal distribution  /  confidence level  /  safety prediction  /  shallow-buried soft rock  /  vibration monitoring
李朝朋, 黄海仙, 李海谦, 李晓亮, 叶齐鹏, 陆海勇, 李启月. 基于概率统计的浅埋软岩地下工程爆破振动安全控制研究. 矿冶工程杂志, 2026 , 46 (4) : 8 -15 . DOI: 10.3969/j.issn.0253-6099.2026.04.002
Chaopeng LI, Haixian HUANG, Haiqian LI, Xiaoliang LI, Qipeng YE, Haiyong LU, Qiyue LI. Probability-Statistics-Based Safety Control of Blast Vibration for Shallow-Buried Underground Soft-Rock Engineering[J]. Mining and Metallurgical Engineering, 2026 , 46 (4) : 8 -15 . DOI: 10.3969/j.issn.0253-6099.2026.04.002
Appendix
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Year 2026 volume 46 Issue 4
141
30
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Article Info
doi: 10.3969/j.issn.0253-6099.2026.04.002
  • Receive Date：2026-02-15
  • Online Date：2026-10-08
Article Data
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History
  • Received：2026-02-15
Funding
Affiliations
    1.Gansu Hesai Highway Construction Development Co., Ltd., Gannan 747000, Gansu, China
    2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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