T
Trilok Singh
Researcher at Indian Institute of Technology Bombay
Publications - 396
Citations - 13468
Trilok Singh is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: Slope stability & Rock mass classification. The author has an hindex of 54, co-authored 373 publications receiving 10286 citations. Previous affiliations of Trilok Singh include Indian Institute of Technology Delhi & University of Cologne.
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Damage Characteristics of Jalore Granitic Rocks After Thermal Cycling Effect for Nuclear Waste Repository
TL;DR: In this article, a model for damage caused due to thermal cycles under indirect tension condition is established, using Lemaitre's strain equivalent principle along with statistics and damage theory, and the authors have also measured the microscopic observation (thin section), mineral characterization (XRD), and surface morphology (SEM) of different thermal cycles treated.
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Determination of thermal damage in rock specimen using intelligent techniques
TL;DR: In this article, new predictive models have been developed, which can predict the extent of damage (D(T)) from the physical properties of thermally modified fine-grained Dholpur sandstone.
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Geotechnical Characterization of Road Cut Hill Slope Forming Unconsolidated Geo-materials: A Case Study
TL;DR: In this article, the geotechnical properties of unconsolidated geo-materials (i.e., basaltic soils) of Malshej Ghat, located in Maharashtra, India are evaluated.
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Artificial neural network and liquefaction susceptibility assessment: a case study using the 2001 Bhuj earthquake data, Gujarat, India
TL;DR: In this article, a backpropagation neural network was used to predict liquefaction susceptibility of unconsolidated sediments using artificial neural network (ANN) as a prediction model.
Optimisation of Dump Slope Geometry Vis-à-vis Flyash Utilisation Using Numerical Simulation
TL;DR: In this article, the effect of slope angle on the stability of waste dump for accommodation of flyash is carried out based on numerical simulation, it was found that the dump slope of 60 m height with 36° slope can be critically stable with 20% flyash randomly mixed with overburden materials whereas flatter slopes provide higher factor of safety.