349
Views
7
CrossRef citations to date
0
Altmetric
Research Paper

Numerical modeling for the engineering analysis of rock mass behaviour due to sequential enlargement of Lowari tunnel Chitral Khyber Pakhtunkhwa, Pakistan

ORCID Icon ORCID Icon, , ORCID Icon &
Pages 54-60 | Received 08 Feb 2017, Accepted 11 Apr 2017, Published online: 25 Apr 2017
 

Abstract

In this research work, Rock Mass Rating (RMR) was used for the characterisation of rock mass along the tunnel alignment based on physical, geological and geotechnical data of the project area. The deformation modulus was determined using established empirical models for each geotechnical unit of considerations (GTU-4, GTU-5 and GTU-6). The support systems were recommended for all geotechnical units using RMR support chart. Hoek and Brown constants were estimated for numerical modelling using Roclab software. Phase2 software was used for the investigation of redistributed stress conditions and changes in the rock behaviour due to sequential enlargement of the small size rail tunnel. Various design input parameters such as physical and geotechnical properties, in situ stresses, modulus of deformation of rock mass, support systems recommended by RMR were used as input parameters in Phase2 software. The simulated models were analysed for each of the selected geotechnical unit. From the analysis of the simulated models, it was concluded that at GTU-6 there are more chances of instability as compared to other geotechnical unit.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 185.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.