This study investigates the blast-induced damage distribution in inclined shafts and surrounding rock masses at the Tianchi Pumped Storage Power Station, focusing on high geostress conditions during blasting excavations. By employing the numerical simulation capabilities of LS-DYNA, the study methodically assesses the influence of geostress and blasting parameters on the resultant damage, including the progressive impact of recurrent blasting sequences. The results elucidate that judicious modification of blasting parameters can efficaciously mitigate damage to the surrounding rock of both the excavation site and adjacent inclined shafts. In high geostress environments, an escalation in geostress markedly intensifies the extent of damage incurred during subterranean blasting excavations. Furthermore, successive blasting operations incrementally extend the zone of rock damage, albeit with a diminishing rate of expansion upon each subsequent detonation. This research contributes critical insights towards augmenting the safety protocols for blasting excavations within the inclined shafts of pumped storage power stations.
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Research Article|
March 14, 2025
Dynamic damage distribution in inclined shafts under high geostress during blasting excavation
Mingyou Tang;
Mingyou Tang
1
Anhui Lu'an Hexiang Expressway Co. Ltd
, Luan 237100, China
2
Gezhouba Group Transportation Investment Co. Ltd
, Wuhan 430000, China
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Yunfeng Zhu;
Yunfeng Zhu
1
Anhui Lu'an Hexiang Expressway Co. Ltd
, Luan 237100, China
2
Gezhouba Group Transportation Investment Co. Ltd
, Wuhan 430000, China
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Song Wu;
Song Wu
1
Anhui Lu'an Hexiang Expressway Co. Ltd
, Luan 237100, China
2
Gezhouba Group Transportation Investment Co. Ltd
, Wuhan 430000, China
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Xin Wei;
Xin Wei
*
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
*
Correspondence: [email protected]
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Dengxing Qu;
Dengxing Qu
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
4
Sanya Science and Education Innovation Park
, Wuhan University of Technology
, Sanya 572024, China
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Kaiwen Song;
Kaiwen Song
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
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Xianzhong Zhou;
Xianzhong Zhou
5
Gezhouba Group No. 2 Engineering Co. Ltd
, Chengdu 610000, China
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Xinping Li
Xinping Li
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
4
Sanya Science and Education Innovation Park
, Wuhan University of Technology
, Sanya 572024, China
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Mingyou Tang
1
Anhui Lu'an Hexiang Expressway Co. Ltd
, Luan 237100, China
2
Gezhouba Group Transportation Investment Co. Ltd
, Wuhan 430000, China
Yunfeng Zhu
1
Anhui Lu'an Hexiang Expressway Co. Ltd
, Luan 237100, China
2
Gezhouba Group Transportation Investment Co. Ltd
, Wuhan 430000, China
Song Wu
1
Anhui Lu'an Hexiang Expressway Co. Ltd
, Luan 237100, China
2
Gezhouba Group Transportation Investment Co. Ltd
, Wuhan 430000, China
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
Dengxing Qu
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
4
Sanya Science and Education Innovation Park
, Wuhan University of Technology
, Sanya 572024, China
Kaiwen Song
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
Xianzhong Zhou
5
Gezhouba Group No. 2 Engineering Co. Ltd
, Chengdu 610000, China
Xinping Li
3
School of Civil Engineering and Architecture
, Wuhan University of Technology
, Wuhan 430070, China
4
Sanya Science and Education Innovation Park
, Wuhan University of Technology
, Sanya 572024, China
*
Correspondence: [email protected]
Publisher: Geological Society of London
Received:
19 Jun 2024
Revision Received:
09 Jan 2025
Accepted:
26 Jan 2025
First Online:
16 Feb 2025
Online ISSN: 2041-4803
Print ISSN: 1470-9236
© 2025 The Author(s). Published by The Geological Society of London. All rights, including for text and data mining (TDM), artificial intelligence (AI) training, and similar technologies, are reserved. For permissions: https://www.lyellcollection.org/publishing-hub/permissions-policy. Publishing disclaimer: https://www.lyellcollection.org/publishing-hub/publishing-ethics
© 2025 The Author(s)
Quarterly Journal of Engineering Geology and Hydrogeology (2025) 58 (2): qjegh2024-100.
Article history
Received:
19 Jun 2024
Revision Received:
09 Jan 2025
Accepted:
26 Jan 2025
First Online:
16 Feb 2025
Citation
Mingyou Tang, Yunfeng Zhu, Song Wu, Xin Wei, Dengxing Qu, Kaiwen Song, Xianzhong Zhou, Xinping Li; Dynamic damage distribution in inclined shafts under high geostress during blasting excavation. Quarterly Journal of Engineering Geology and Hydrogeology 2025;; 58 (2): qjegh2024–100. doi: https://doi.org/10.1144/qjegh2024-100
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