Prediction of hard rock TBM penetration rate based on Data Mining techniques
The aim of this work is to use Data Mining tools to develop models for the prediction of hard rock tunnel boring machine (TBM) penetration rate (ROP). A database published by Yagiz (2008) was used to develop these models. The parameters of the database were the uniaxial compressive strength (UCS), a...
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| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/1822/25941 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/25941 |