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SIIA Público
SISTEMA INTEGRAL DE INFORMACIÓN ACADÉMICA - PÚBLICO
Título del libro: From Fundamentals To Applications In Geotechnics Título del capítulo: Automatic learning for patterning the behavior of rockfill materials
Rockfill materials; rockfill mechanical properties; machine learning; regression trees
Resumen:
In order to deal with the ill-posed problem of material parameter
identification for rockfill materials, a procedure based on machine
learning is proposed. In this investigation the results of a
comprehensive set of tests on rockfill materials are examined. The
instances, categorized in accordance with their particles shape (angular
/ rounded), gradation characteristics and relative density, are analyzed
using Regression Trees, a machine learning tool that deals with the
construction and study of algorithms for learning from data. The
emphasis of this study is on determining resistance and deformability
behavior of the rockfill. It is shown that high confining stresses and
particle breakage phenomenon are found as the driving factors of the
behavior of the materials.
