Topographic gradient based site characterization in India complemented by strong ground-motion spectral attributes

Sankar Kumar Nath, Kiran Kumar Thingbaijam, M. D. Adhikari, Avinash Nayak, N. Devaraj, Soumalya K. Ghosh, Arun K. Mahajan

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.
Original languageEnglish (US)
Pages (from-to)233-246
Number of pages14
JournalSoil Dynamics and Earthquake Engineering
Volume55
DOIs
StatePublished - Dec 2013

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Civil and Structural Engineering
  • Soil Science

Fingerprint Dive into the research topics of 'Topographic gradient based site characterization in India complemented by strong ground-motion spectral attributes'. Together they form a unique fingerprint.

Cite this