Application of artificial neural networks and multivariate statistics to predict UCS and E using physical properties of Asmari limestones

Geomechanical properties of rocks such as uniaxial compressive strength (UCS) and modulus of elasticity (E) have been essentially evaluated for rock engineering projects as well as dam sites. In this paper, in order to estimate the parameters, some mathematical methods are proposed including multipl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Arabian journal of geosciences 2015-05, Vol.8 (5), p.2889-2897
Hauptverfasser: Torabi-Kaveh, M., Naseri, F., Saneie, S., Sarshari, B.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!