Results 251 to 260 of about 234,477 (336)
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
Tire soil reinforcement for slope stability improvement in the PK3 + 400 landslide Medea Algeria. [PDF]
Melaz Z, Guechi L, Saghir S, Cheriet A.
europepmc +1 more source
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
Developing new machine-learning intelligent models to predict the excavation-tunnel displacements. [PDF]
Tabaroei A +3 more
europepmc +1 more source
Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation
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
Selective retina therapy for central serous chorioretinopathy with focal choroidal excavation: a retrospective case series of six eyes. [PDF]
Jeon SH, Roh YJ.
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
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

