This study presents a development of attenuation relationship for Arias intensity for Northeaster... more This study presents a development of attenuation relationship for Arias intensity for Northeastern region of India. The attenuation relationship for Arias intensity is developed in terms of magnitude of seismic event (M), source distance of the earthquake (R) using two step regression analysis. The strong motion dataset is divided into two categories i.e. training dataset and validation dataset. Training dataset is used to calculate regression coefficients and validation dataset is used to examine the efficiency of predictive equations. The developed attenuation relationship for Arias intensity is compared with previously developed attenuation relationships. The comparison shows that the developed equation is efficient for Northeastern region of India.
Introduction: Hysterectomy is the second most frequently performed major surgical procedure on wo... more Introduction: Hysterectomy is the second most frequently performed major surgical procedure on women worldwide, peri and post-menopausal. In India, it accounts for only 6% of the major surgeries. Aims and objectives: To study the profile of different myometrial lesions in the 520 hysterectomy specimens received in the Department of Pathology, GMC Jammu, for histopathological studies. Material and methods: The study was retrospective in nature. The study material comprised 520 hysterectomy specimens for a period of one year. They were labelled correctly, numbered with complete clinical details and then subjected to gross and detailed histopathological examination. Results: In the present study, the mean age of the cases was 46.9 years. 49.62% undergoing hysterectomy was in the age group of 41-50 years. The most common clinical indication for hysterectomy was menorrhagia in 42.75% of cases, followed by uterovaginal prolapse in 26.6%, fibroid uterus in 20.24% of cases and other less co...
The simulation of field conditions for seismically induced slope failures incorporates model unce... more The simulation of field conditions for seismically induced slope failures incorporates model uncertainties, which account for the difference between simulated and observed slope behaviour. The quantification of this uncertainty is mandatory to understand the field response of the geotechnical system and make decisions for geotechnical systems. Previous studies have partially studied uncertainty for slope systems under seismic loading. To this aim, this study proposes a methodology based on probabilistic back analysis to estimate uncertainties in soil parameters considering the observed slope response under seismic loading. The proposed method involves support vector regression (SVR) model to map the relationship between soil parameters and seismically induced slope displacement. The SVR model is generated using the data from the numerical simulation of slope system under seismic loading using FLAC 2D. Further, the developed SVR model is used for probabilistic back analysis using Mar...
Bulletin of Engineering Geology and the Environment, 2022
Slope failures in the southwestern region of India in the state of Karnataka are induced by prolo... more Slope failures in the southwestern region of India in the state of Karnataka are induced by prolonged heavy rainfall during the monsoon season. Due to damage to livestock, infrastructure, and economy, slope failure incidences are a cause of concern and throw light on the need for landslide hazard assessment. There is a necessity for faster determination of landslide hazard and provision of an early warning system using geotechnical data that is limited due to the inaccessibility of the terrain. This study presents an attempt to demarcate areas prone to rainfall-induced landslide events using Transient rainfall infiltration and grid-based slope stability (TRIGRS) model and rainfall threshold. Slope failure events from 2013 to 2018 for the Kodagu district of Karnataka, India, are used to derive rainfall thresholds. Intensity–duration–frequency (IDF) curves of rainfall are derived to determine the return period of rainfall events which trigger slope failures in the region. Due to the paucity of data, back analysis is conducted using the TRIGRS model to determine the soil properties and initial water table depth. The return period of rainfall threshold in association with susceptibility mapping using the TRIGRS model facilitates estimation of landslide hazard at the regional scale. The results of this study could potentially be used as an early warning system and the basis for the design of slopes in this region.
This study presents a development of attenuation relationship for Arias intensity for Northeaster... more This study presents a development of attenuation relationship for Arias intensity for Northeastern region of India. The attenuation relationship for Arias intensity is developed in terms of magnitude of seismic event (M), source distance of the earthquake (R) using two step regression analysis. The strong motion dataset is divided into two categories i.e. training dataset and validation dataset. Training dataset is used to calculate regression coefficients and validation dataset is used to examine the efficiency of predictive equations. The developed attenuation relationship for Arias intensity is compared with previously developed attenuation relationships. The comparison shows that the developed equation is efficient for Northeastern region of India.
Introduction: Hysterectomy is the second most frequently performed major surgical procedure on wo... more Introduction: Hysterectomy is the second most frequently performed major surgical procedure on women worldwide, peri and post-menopausal. In India, it accounts for only 6% of the major surgeries. Aims and objectives: To study the profile of different myometrial lesions in the 520 hysterectomy specimens received in the Department of Pathology, GMC Jammu, for histopathological studies. Material and methods: The study was retrospective in nature. The study material comprised 520 hysterectomy specimens for a period of one year. They were labelled correctly, numbered with complete clinical details and then subjected to gross and detailed histopathological examination. Results: In the present study, the mean age of the cases was 46.9 years. 49.62% undergoing hysterectomy was in the age group of 41-50 years. The most common clinical indication for hysterectomy was menorrhagia in 42.75% of cases, followed by uterovaginal prolapse in 26.6%, fibroid uterus in 20.24% of cases and other less co...
The simulation of field conditions for seismically induced slope failures incorporates model unce... more The simulation of field conditions for seismically induced slope failures incorporates model uncertainties, which account for the difference between simulated and observed slope behaviour. The quantification of this uncertainty is mandatory to understand the field response of the geotechnical system and make decisions for geotechnical systems. Previous studies have partially studied uncertainty for slope systems under seismic loading. To this aim, this study proposes a methodology based on probabilistic back analysis to estimate uncertainties in soil parameters considering the observed slope response under seismic loading. The proposed method involves support vector regression (SVR) model to map the relationship between soil parameters and seismically induced slope displacement. The SVR model is generated using the data from the numerical simulation of slope system under seismic loading using FLAC 2D. Further, the developed SVR model is used for probabilistic back analysis using Mar...
Bulletin of Engineering Geology and the Environment, 2022
Slope failures in the southwestern region of India in the state of Karnataka are induced by prolo... more Slope failures in the southwestern region of India in the state of Karnataka are induced by prolonged heavy rainfall during the monsoon season. Due to damage to livestock, infrastructure, and economy, slope failure incidences are a cause of concern and throw light on the need for landslide hazard assessment. There is a necessity for faster determination of landslide hazard and provision of an early warning system using geotechnical data that is limited due to the inaccessibility of the terrain. This study presents an attempt to demarcate areas prone to rainfall-induced landslide events using Transient rainfall infiltration and grid-based slope stability (TRIGRS) model and rainfall threshold. Slope failure events from 2013 to 2018 for the Kodagu district of Karnataka, India, are used to derive rainfall thresholds. Intensity–duration–frequency (IDF) curves of rainfall are derived to determine the return period of rainfall events which trigger slope failures in the region. Due to the paucity of data, back analysis is conducted using the TRIGRS model to determine the soil properties and initial water table depth. The return period of rainfall threshold in association with susceptibility mapping using the TRIGRS model facilitates estimation of landslide hazard at the regional scale. The results of this study could potentially be used as an early warning system and the basis for the design of slopes in this region.
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Papers by Himanshu Rana