A5007018358- Seismic Performance and Analysis
- Structural Health Monitoring Techniques
- earthquake and tectonic studies
- Seismic Waves and Analysis
- Landslides and related hazards
- High-pressure geophysics and materials
- Earthquake Detection and Analysis
- Geophysics and Sensor Technology
- Seismology and Earthquake Studies
- Geotechnical Engineering and Underground Structures
- Planetary Science and Exploration
- Seismic Imaging and Inversion Techniques
- Astro and Planetary Science
- Advanced Fiber Optic Sensors
- Masonry and Concrete Structural Analysis
- Structural Engineering and Vibration Analysis
- Structural Response to Dynamic Loads
- Marine and environmental studies
- Geology and Paleoclimatology Research
- Geotechnical and Geomechanical Engineering
- Flood Risk Assessment and Management
- Geological and Geochemical Analysis
- Rock Mechanics and Modeling
- Seismic and Structural Analysis of Tall Buildings
- Hydraulic Fracturing and Reservoir Analysis
Indian Institute of Technology Madras
2016-2025
Indian Institute of Technology Guwahati
2007-2009
Indian Institute of Technology Indore
2008
Ground motion models (GMMs) are an essential tool for seismic hazard analysis. They used developing predictive relationships to estimate the expected levels of ground shaking through parameters (GMPs). There is limited recorded data on stable continental regions (SCR) such as Peninsular India (PI), and Central North Eastern America (CENA), GMMs developed either by hybrid or stochastic methods. In this study, effort has been made develop a GMM PI region compiling from CENA regions, well Near...
Abstract In this article point source seismological model is used to the available strong-motion accelerograms in northeastern India. Key seismic parameters such as Quality factor ( Q -value), kappa κ 0 ), site amplification, and stress drop are derived from data. A total of 111 three-component records coming seven earthquakes with magnitudes ranging M w 5.2 7.2 obtaining path parameters. The -value Indo–Burma tectonic domain, which a subduction zone, obtained 431 f 0.7 . For Bengal...
Abstract In the current study, ground motion models (GMMs) are derived using European Strong Motion (ESM) database for pseudo‐spectral acceleration (PSA), peak (PGA), velocity (PGV), displacement (PGD), cumulative absolute (CAV), arias intensity (I a ), and significant duration. addition to addressing random effects associated with regression, such as inter‐event, inter‐site, inter‐locality, inter‐region variabilities, study also aims at reducing standard deviations (STDs) of GMMs through...
Abstract The ground motion model (GMM) for response spectra is crucial to hazard studies and structural design. GMM developed regions with abundant data can capture appropriate spectral attenuation characteristics. However, several seismically active regions, such as the Himalayas, have limited recorded data, thus, traditionally, simulated, or other regional are supplemented available developing a GMM. Despite augmentation, GMMs cannot appropriately depict Therefore, paper presents...
Predicting robust earthquake spectra is challenging, especially for data sparse regions such as India. Often, alternatives to the traditional data-driven regression analysis are used develop empirical models regions. Advancing these efforts, present study aims at exploring an alternative machine learning technique called Transfer learning, wherein a non-parametric deep neural network trained response (Sa) and Fourier (FAS) of Himalayas, which uses parameters that were derived large...
This article presents site-specific probable seismic hazard of the Himachal Pradesh province, situated in a seismically active region northwest Himalaya, using ground motion relations presented companion article. Seismic recurrence parameters for all documented sources are established from an updated earthquake catalogue. The contour maps spectral acceleration at 0, 0.2, and 1 s (5% damping) 475 2475 years return periods. Also, curves uniform response spectrums important cities this...
Abstract Ground motion models (GMMs) are traditionally developed from a frequentist approach. The Bayesian framework has received recent attention in developing nonergodic models, measuring uncertainty, or updating the model with additional data. However, no neural networks to date this predict ground parameters spectra. Hence, present work develops probabilistic network (PBNN) next‐generation attenuation – West2 and Subduction databases using variational inference mean‐field assumption....
Research Article| March 01, 2010 Estimation of Seismicity Parameters for India S. T. G. Raghukanth Department Civil Engingeering Indian Institute Technology Madras Madras, Chennai 600036 raghukanth@iitm.ac.in Search other works by this author on: GSW Google Scholar Author and Article Information Publisher: Seismological Society America First Online: 09 Mar 2017 Online ISSN: 1938-2057 Print 0895-0695 © the Letters (2010) 81 (2): 207–217. https://doi.org/10.1785/gssrl.81.2.207 history Cite...
This paper deals with the estimation of spectral acceleration for Manipur based on probabilistic seismic hazard analysis (PSHA). The 500 km region surrounding is divided into seven tectonic zones and major faults located in these are used to estimate hazard. earthquake recurrence relations have been estimated from past seismicity data. Ground motion prediction equations proposed by Boore Atkinson (2008 Earthq. Spectra24 99–138) shallow active regions (2003 Bull. Seismol. Soc. Am.93 1703–29)...
Abstract On 3 January 1975, the largest shallow moonquake ( M W 4.1) occurred at Laue impact crater on Moon. The fault responsible for and origins of coseismic boulder avalanches are unknown. Our study reveals a set previously unreported, seismically active, young lobate scarps near epicenter. In addition, hundreds falls observed interior walls two craters either side scarps. varying preservation levels size‐frequency distributions superimposed indicate their episodic 1.6 Ma during 1975...