基于人工智能变形预测隧道坍塌失效概率评估方法
摘要
When a tunnel collapse occurs, decision makers often do not have enough reaction time to take appropriate reinforcement measures.Advance prediction of tunnel collapse failure probability has become a key issue in tunnel engineering construction.As for assessing the tunneling collapse failure probability and providing basic risk-controlling strategies, in this study it proposes a novel multi-source information fusion approach that combines the cloud model (CM), the multi-output gaussian 基金项目：
引用本文（GB/T 7714）
Bo Wu, Weixing Qiu, Shixiang Xu, 等. 基于人工智能变形预测隧道坍塌失效概率评估方法[J]. Earth Science-Journal of China University of Geosciences, 2024.
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