Application of data mining techniques for the development of new rock mechanics constitutive models

T. Miranda, L. R. Sousa, W. Ruggenthen, R. L. Sousa

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

Data Mining (DM) techniques have been successfully used in many fields and more recently also in geotechnics with good results in different applications. They are adequate as an advanced technique for analysing large and complex databases that can be built with geotechnical information within the framework of an overall process of Knowledge Discovery in Databases (KDD). A KDD process is carried out in the context of rock mechanics using the geotechnical information of two hydroelectric schemes built in Portugal and at DUSEL (Deep Underground Science and Engineering Laboratory). The purpose was to find new models to evaluate strength and deformability parameters and also empirical geomechanical indexes. Databases of geotechnical data were assembled and DM techniques used to analyse and extract new and useful knowledge. The procedure allowed developing new, simple, and reliable models for geomechanical characterization using different sets of input data which can be applied in different situations of information availability.

Original languageEnglish
Title of host publicationConstitutive Modeling of Geomaterials
Subtitle of host publicationAdvances and New Applications
Pages735-740
Number of pages6
DOIs
StatePublished - 2013

Publication series

NameSpringer Series in Geomechanics and Geoengineering
ISSN (Print)1866-8755
ISSN (Electronic)1866-8763

Keywords

  • Data mining
  • Models
  • Rock masses

Fingerprint

Dive into the research topics of 'Application of data mining techniques for the development of new rock mechanics constitutive models'. Together they form a unique fingerprint.

Cite this