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Development of New Models for Geomechanical Characterisation Using Data Mining Techniques

✍ Scribed by Tiago Miranda; António Gomes Correia; Luís Ribeiro e Sousa

Publisher
Wiley (John Wiley & Sons)
Year
2008
Tongue
English
Weight
988 KB
Volume
1
Category
Article
ISSN
1865-7362

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

The evaluation of geomechanical parameters for rock masses is one of the issues with largest uncertainty degree. This is mostly true in the preliminary stages of design and in small works where geotechnical information is normally scarce. In these cases, geotechnical data from past projects could help in the definition of design values for the parameters. Data Mining techniques have been successfully used in many fields. They are advanced techniques which allow to analyse large and complex databases like the ones it would be possible to build with geotechnical information. In this context, it was intended to gather a large database of geotechnical data and use these innovative tools to analyse and induce new and useful knowledge. The main goal was to develop new and reliable models to predict geomechanical parameters values mainly when only limited data is available.

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