Results 251 to 260 of about 234,477 (336)

Study on the failure mechanism of the shield excavation face in the sandy cobble stratum under different buried depths

open access: yesDeep Underground Science and Engineering, EarlyView.
Abstract One of the significant challenges faced in shield tunnel construction is the risk of collapse resulting from abrupt changes in soil conditions in advance of the working face, particularly within the sandy cobble stratum. This study aims to effectively manage these sudden variations and to further investigate the failure mechanisms associated ...
Hua Jiang   +4 more
wiley   +1 more source

Optimization of cut‐hole layout under high in situ stress based on numerical simulation and field tests

open access: yesDeep Underground Science and Engineering, EarlyView.
This study investigates the blast‐induced rock damage patterns under different cut‐hole layouts and ground stress conditions through numerical simulations and field tests. The findings in this study provide valuable insights for similar underground engineering applications.
Junjie Zhao   +5 more
wiley   +1 more source

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

open access: yesDeep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

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