B
Bhawani Singh
Researcher at Indian Institute of Technology Roorkee
Publications - 89
Citations - 1685
Bhawani Singh is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Rock mass classification & Rock mass rating. The author has an hindex of 17, co-authored 89 publications receiving 1470 citations.
Papers
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Journal ArticleDOI
Modified Mohr–Coulomb criterion for non-linear triaxial and polyaxial strength of jointed rocks
Mahendra Singh,Bhawani Singh +1 more
TL;DR: In this article, a modified non-linear form of Mohr-Coulomb strength criterion has been suggested in order to overcome two major limitations of this criterion; first, it considers the strength response to be linear, and, secondly the effect of the intermediate principal stress on the strength behaviour is ignored.
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Correlation between observed support pressure and rock mass quality
TL;DR: In this paper, the authors used field data collected systematically from 20 tunnel sections to investigate the correlation between rock mass quality and support pressure and showed that the support pressure decreases rapidly with tunnel closure and then increases beyond a limiting closure, and that the observed wall support pressures were always close to zero except in squeezing ground conditions.
Book
ROCK MASS CLASSIFICATION A Practical Approach in Civil Engineering
Bhawani Singh,R.K. Goal +1 more
TL;DR: In this paper, the authors present a case history allowable bearing pressure for building foundations and allowable bearing-pressure method of excavation for tunneling support systems in caverns, as well as herar strength enhancement of rock mass in tunnels.
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Landslide hazard and risk assessment mapping of mountainous terrains — a case study from Kumaun Himalaya, India
R. Anbalagan,Bhawani Singh +1 more
TL;DR: In this article, a new approach to risk assessment mapping using a risk assessment matrix (RAM) is presented, which can be expressed in terms of risk, which is a function of hazard probability and damage potential.
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Schmidt hammer rebound data for estimation of large scale in situ coal strength
TL;DR: In this article, the Schmidt hammer rebound was used to determine whether a correlation exists between Schmidt hammer and the in situ large-scale strength of coal and the lower mean of rebound values obtained.