Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems

• Main Authors: Bejarbaneh, Behnam Yazdani, Bejarbaneh, Elham Yazdani, Amin, Mohd. For Mohd., Fahimifar, Ahmad, Jahed Armaghani, Danial, Majid, Muhd. Zaimi Abd.
• Format: Article
• Published: Springer Verlag 2016
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/72798/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85000785974&doi=10.1007%2fs10064-016-0983-2&partnerID=40&md5=7df87c4f3d9cd1971385ccc2960c50bb

A realistic analysis of rock deformation in response to any change in stresses is heavily dependent on the reliable determination of the rock properties as analysis inputs. Young’s modulus (E) provides great insight into the magnitude and characteristics of the rock mass/material deformation, but di...