Cargando…

Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground

This data presented in this article pertain to measured data obtained from earth pressure balance (EPB) shield tunelling of Guangzhou-Foshan intercity railway project. The measured data consists of geological characteristics and the main shield parameters in each lining ring during shield tunnelling...

Descripción completa

Detalles Bibliográficos
Autor principal: Yan, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679658/
https://www.ncbi.nlm.nih.gov/pubmed/36425975
http://dx.doi.org/10.1016/j.dib.2022.108726
_version_ 1784834244119363584
author Yan, Tao
author_facet Yan, Tao
author_sort Yan, Tao
collection PubMed
description This data presented in this article pertain to measured data obtained from earth pressure balance (EPB) shield tunelling of Guangzhou-Foshan intercity railway project. The measured data consists of geological characteristics and the main shield parameters in each lining ring during shield tunnelling. The distribution of raw data was displayed, and the geological characteristics via field record were compared to the prediction results of improved stacking method. The value of the database is consideration of the relationship between shield operational parameters and geological characteristics encountered in the shield tunnelling area, including formations with soft soil, majority of soft soil, and majority of hard rock. The raw data was standardized and processed to low dimensional data by principal component analysis, which can be better used in geological characteristics classification. The presented data are applied to identify the geological characteristics in the article titled “Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm”.
format Online
Article
Text
id pubmed-9679658
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-96796582022-11-23 Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground Yan, Tao Data Brief Data Article This data presented in this article pertain to measured data obtained from earth pressure balance (EPB) shield tunelling of Guangzhou-Foshan intercity railway project. The measured data consists of geological characteristics and the main shield parameters in each lining ring during shield tunnelling. The distribution of raw data was displayed, and the geological characteristics via field record were compared to the prediction results of improved stacking method. The value of the database is consideration of the relationship between shield operational parameters and geological characteristics encountered in the shield tunnelling area, including formations with soft soil, majority of soft soil, and majority of hard rock. The raw data was standardized and processed to low dimensional data by principal component analysis, which can be better used in geological characteristics classification. The presented data are applied to identify the geological characteristics in the article titled “Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm”. Elsevier 2022-11-04 /pmc/articles/PMC9679658/ /pubmed/36425975 http://dx.doi.org/10.1016/j.dib.2022.108726 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Yan, Tao
Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground
title Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground
title_full Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground
title_fullStr Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground
title_full_unstemmed Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground
title_short Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground
title_sort data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679658/
https://www.ncbi.nlm.nih.gov/pubmed/36425975
http://dx.doi.org/10.1016/j.dib.2022.108726
work_keys_str_mv AT yantao dataonpredictionofgeologicalcharacteristicsduringshieldtunnellinginmixedsoilandrockground