AI-aided short-term decision making of rockburst damage scale in underground engineering

AI-aided short-term decision making of rockburst damage scale in underground engineering

Rockbursts pose severe risks to underground engineering projects, including mining and tunnelling, where sudden rock failures can lead to substantial infrastructure damage and loss of human lives. An accurate assessment of rockburst damage is essential for safety and effective risk mitigation. This...

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Bibliographic Details
Main Authors: Chukwuemeka Daniel, Shouye Cheng, Xin Yin, Zakaria Mohamed Barrie, Yucong Pan, Quansheng Liu, Feng Gao, Minsheng Li, Xing Huang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-08-01
Series:Underground Space
Subjects:
Underground engineering
Rockburst damage scale
Short-term decision making
Ensemble learning
Bayesian optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967425000418
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