Journal Published Online: 20 May 2019
Volume 43, Issue 2

Characterization of Sandstone for Application in Blast Analysis of Tunnel

CODEN: GTJODJ

Abstract

The present work aims to gain an understanding of the stress-strain response of sandstone, a sedimentary rock, under high loading rate and further determine the appropriate specimen dimension of sandstone for dynamic testing. The high strain rate characterization of sandstone is done for two different diameters and five different slenderness ratios of sandstone specimens using a 76-mm–diameter split Hopkinson pressure bar (SHPB) device. The stress-strain response of sandstone is studied by systematically varying the length of the striker bars and gas gun pressure of the SHPB device. The petrological and static characterizations of the sandstone rock are also carried out. Finally, the appropriate specimen size of sandstone for SHPB testing is proposed by checking the strength gain of the rock and amount of energy absorbed during the tests. Further, finite element (FE) analysis of the SHPB test on sandstone is performed using the strain rate–dependent Johnson-Holmquist (JH-2) model available in the FE software, LS-DYNA. The simulation results are compared with the experimental data in order to determine the parameters of the JH-2 model for sandstone. A parameter database is thus prepared for sandstone. The determined parameters are then used in the blast analysis of tunnels for a 20-kg trinitrotoluene (TNT) explosion and the tunnel response is studied.

Author Information

Mishra, Sunita
Geo-Dyn Laboratory, Department of Civil Engineering, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
Chakraborty, Tanusree
Department of Civil Engineering, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, India
Basu, Dipanjan
Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, Canada
Lam, Nelson
Department of Infrastructure Engineering, University of Melbourne, Parkville, VIC, Australia
Pages: 32
Price: $25.00
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Details
Stock #: GTJ20180270
ISSN: 0149-6115
DOI: 10.1520/GTJ20180270