TY - JOUR
T1 - Topographic gradient based site characterization in India complemented by strong ground-motion spectral attributes
AU - Nath, Sankar Kumar
AU - Thingbaijam, Kiran Kumar
AU - Adhikari, M. D.
AU - Nayak, Avinash
AU - Devaraj, N.
AU - Ghosh, Soumalya K.
AU - Mahajan, Arun K.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/12
Y1 - 2013/12
N2 - We appraise topographic-gradient approach for site classification that employs correlations between 30. m column averaged shear-wave velocity and topographic gradients. Assessments based on site classifications reported from cities across India indicate that the approach is reasonably viable at regional level. Additionally, we experiment three techniques for site classification based on strong ground-motion recordings, namely Horizontal-to-Vertical Spectral Ratio (HVSR), Response Spectra Shape (RSS), and Horizontal-to-Vertical Response Spectral Ratio (HVRSR) at the strong motion stations located across the Himalayas and northeast India. Statistical tests on the results indicate that these three techniques broadly differentiate soil and rock sites while RSS and HVRSR yield better signatures. The results also support the implemented site classification in the light of strong ground-motion spectral attributes observed in different parts of the globe. © 2013 Elsevier Ltd.
AB - We appraise topographic-gradient approach for site classification that employs correlations between 30. m column averaged shear-wave velocity and topographic gradients. Assessments based on site classifications reported from cities across India indicate that the approach is reasonably viable at regional level. Additionally, we experiment three techniques for site classification based on strong ground-motion recordings, namely Horizontal-to-Vertical Spectral Ratio (HVSR), Response Spectra Shape (RSS), and Horizontal-to-Vertical Response Spectral Ratio (HVRSR) at the strong motion stations located across the Himalayas and northeast India. Statistical tests on the results indicate that these three techniques broadly differentiate soil and rock sites while RSS and HVRSR yield better signatures. The results also support the implemented site classification in the light of strong ground-motion spectral attributes observed in different parts of the globe. © 2013 Elsevier Ltd.
UR - http://hdl.handle.net/10754/563122
UR - https://linkinghub.elsevier.com/retrieve/pii/S0267726113001917
UR - http://www.scopus.com/inward/record.url?scp=84886287048&partnerID=8YFLogxK
U2 - 10.1016/j.soildyn.2013.09.005
DO - 10.1016/j.soildyn.2013.09.005
M3 - Article
SN - 0267-7261
VL - 55
SP - 233
EP - 246
JO - Soil Dynamics and Earthquake Engineering
JF - Soil Dynamics and Earthquake Engineering
ER -