Search Results - "Singh, TN"

Developing novel models using neural networks and fuzzy systems for the prediction of strength of rocks from key geomechanical properties by Sharma, L.K., Vishal, Vikram, Singh, T.N.

“…[Display omitted] •Key rock index properties were measured along with the UCS.•Prediction models for UCS were developed using statistical and intelligence…”
Get full text

Continuous functions and a computer application for Rock Mass Rating by Kundu, Jagadish, Sarkar, Kripamoy, Singh, Ashok Kumar, Singh, T.N.

“…Rock Mass Rating (RMR) is a widely used rock mass classification system to assess the quality/condition of rock masses for tunnels, mines, slopes and…”
Get full text

Predicting deformational properties of Indian coal: Soft computing and regression analysis approach by Guha Roy, Debanjan, Singh, T.N.

“…•Young’s modulus and Poisson’s ratio were predicted using MRA, ANN, and ANFIS.•Strength parameters and P-wave velocity were the input…”
Get full text

Progressive deformation and pore network attributes of sandstone at in-situ stress states using computed tomography by Mahanta, Bankim, Vishal, Vikram, Sirdesai, Nikhil, Ranjith, PG, Singh, TN

“…•Microstructural response of sandstone at various stress states using m-CT technique.•Essential information about total, connected and non-connected pores of…”
Get full text

Regression and soft computing models to estimate young’s modulus of CO^sub 2^ saturated coals by Roy, Debanjan Guha, Singh, TN

“…Young’s modulus of coal is a very important deformational property which dictates how the material will behave in presence of sub- and super-critical carbon…”
Get full text

Determination of strength and modulus of elasticity of heterogenous sedimentary rocks: An ANFIS predictive technique by Umrao, Ravi Kumar, Sharma, L.K., Singh, Rajesh, Singh, T.N.

“…[Display omitted] •Prediction of UCS and E using density, porosity and Vp.•Effect of input and output membership functions type on the performance of…”
Get full text

Prediction of geomechanical parameters using soft computing and multiple regression approach by Singh, Rajesh, Umrao, Ravi Kumar, Ahmad, M., Ansari, M.K., Sharma, L.K., Singh, T.N.

“…[Display omitted] •Prediction of mechanical properties from density, porosity and P-wave velocity of the rock.•Comparative study of MVRA vs ANFIS.•Easy…”
Get full text

Predicting mode-I fracture toughness of rocks using soft computing and multiple regression by Guha Roy, Debanjan, Singh, T.N., Kodikara, J.

“…Mode-I fracture toughness (FT) is an important property to model fracture propagation in rocks and it has wide application in a plethora of rock mechanics…”
Get full text

Evolution of the damage precursor based on the felicity effect in shale by Gautam, PK, Dwivedi, Rishabh, Garg, Peeyush, Majumder, Dipaloke, Agarwal, Siddhartha, McSaveney, Maurice, Singh, TN

“…Damage precursors during hydraulic fracturing in shale gas reservoirs may be better understood if the deformation, failure, and acoustic emission (AE)…”
Get full text

Simulation of CO^sub 2^ enhanced coalbed methane recovery in Jharia coalfields, India by Vishal, Vikram, Mahanta, Bankim, Pradhan, SP, Singh, TN, Ranjith, PG

“…Coalbed methane production in Jharia coalfield that lies in India's largest coal basin is underway since a few years now; however, no field-trial of CO2…”
Get full text

Selection of failure criteria for estimation of safe mud weights in a tight gas sand reservoir by Abbasi, Shariq, Kumar Singh, Ranjeet, Singh, Kumar Hemant, Singh, TN

“…In an undisturbed state, a stress field present in the earth consists of virgin stress in the rock. A change in this stress occurs due to drilling the borehole…”
Get full text

Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach by Khandelwal, Manoj, Singh, T.N.

“…This paper presents the application of neural network for the prediction of ground vibration and frequency by all possible influencing parameters of rock mass,…”
Get full text

Prediction of strength properties of some schistose rocks from petrographic properties using artificial neural networks by Singh, V.K, Singh, D, Singh, T.N

“…Petrographic features of a rock are intrinsic properties, which control the mechanical behaviour of the rock mass at the fundamental level. This paper deals…”
Get full text

Microbial bioconversion of metabolites from fermented succulent bamboo shoots into phytosterols by Sarangthem, Kananbala, Singh, Th. Nabakumar

“…Fermented succulent shoots of bamboo (Bambusa balcooa and Dendrocalamus strictus) are an enriched source of phytosterol. Microorganisms from the 'soibum…”
Get full text

Effect of cyclic loading and strain rate on the mechanical behaviour of sandstone by Ray, S.K, Sarkar, M, Singh, T.N

Get full text

A comparative study of ANN and Neuro-fuzzy for the prediction of dynamic constant of rockmass by SINGH, T. N, KANCHAN, R, VERMA, A. K, SAIGAL, K

“…Physico-mechanical properties of rocks have great significance in all operational parts in mining activities, from exploration to final dispatch of material…”
Get full text

Pleuropulmonary Paragonimiasis mimicking Pulmonary Tuberculosis - A Report of Three Cases by Singh, TN, Kananbala, S, Devi, KD

Get full text

Prediction of Mine Water Quality by Physical Parameters by Khandelwal, Manoj, Singh, T N

“…Findings are presented from a study in which researchers used a neural network system to estimate a range of chemical paramters in mine waters. The chemical…”
Get full text

Stress distribution during extraction of pillars in a thick coal seam by JAYANTHU, S, SINGH, T. N, SINGH, D. P

“…This paper presents field observations on distribution of vertical stress during an experimental trial of extraction of pillars in four panels in 6.0-8.0m…”
Get full text

Borderline lepromatous leprosy with neurofibromatosis by Angoori, Gnaneshwar Rao, Danturty, Indira, Rekha Singh, T N

“…The coexistence of leprosy with neurofibromatosis is rare both the diseases present with nerve thickening and skin lesions (patches and nodules). The…”
Get full text