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.
Papers
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Progressive deformation and pore network attributes of sandstone at in-situ stress states using computed tomography
Bankim Mahanta,Bankim Mahanta,Vikram Vishal,N. N. Sirdesai,Pathegama Gamage Ranjith,Trilok Singh +5 more
TL;DR: In this article, the authors investigated the real-time high-resolution micro-computed tomography (m-CT) based microscopic failure attributes of sandstone under unconfined axial compression.
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Geo-engineering classification with deterioration assessment of basalt hill cut slopes along NH 66, near Ratnagiri, Maharashtra, India
TL;DR: In this paper, the vulnerability condition of rock slopes of differential deterioration intensities along National Highway corridor 66 (NH 66) at Ratnagiri-Sangameshwar (RS) stretch was investigated.
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Numerical modelling of rheological properties of landslide debris
TL;DR: In this paper, a physical model was set up in the laboratory to simulate and calibrate the debris flow using PFC, a distinct element modelling-based software. After calibration, a case study of the Varunavat landslide was taken to validate the developed numerical model.
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Estimation of Elastic Parameters, Mineralogy and Pore Characteristics of Gondwana Shale in Eastern India for Evaluation of Shale Gas Potential
TL;DR: In this paper, the physical and geochemical properties of Gondwana shale samples from Eastern India were analysed for mineralogy, pore types and dynamic elastic properties using powder X-ray diffraction (XRD), scan electron microscopy (SEM) and ultrasonic velocity measurements respectively.
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Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models
TL;DR: In this paper , the authors adopted the per-pixel-based ensemble approaches through modified frequency ratio (MFR) and fuzzy analytical hierarchy process (FAHP) and compared it with the "geon" (object-based) aggregation method to produce an LSM for the lesser Himalayan Kalsi-Chakrata road corridor.