EconPapers    
Economics at your fingertips  
 

Pseudo velocity spectrum to velocity spectrum conversion model for Indian subcontinent

Jyothi Yedulla, Ravi Kanth Sriwastav (), Narsiram Gurjar and S. T. G. Raghukanth
Additional contact information
Jyothi Yedulla: Indian Institute of Technology Madras
Ravi Kanth Sriwastav: Indian Institute of Technology Madras
Narsiram Gurjar: Indian Institute of Technology Madras
S. T. G. Raghukanth: Indian Institute of Technology Madras

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 14, No 40, 17153-17187

Abstract: Abstract Velocity-dependent dampers play a critical role in the seismic design of important structures by dissipating energy and mitigating structural vibrations during strong earthquakes, thereby reducing displacement and drift demand to protect structures in high-seismic-risk zones. An accurate estimation of the Spectral Velocity (SV) spectrum is vital for optimizing damper performance and ensuring structural resilience under dynamic seismic loads. However, the SV response spectrum is not explicitly provided in most of the design standards and is often approximated using the Pseudo-Spectral Velocity (PSV) spectrum. This approximation introduces substantial errors, particularly at short and long periods, necessitating more reliable PSV-to-SV conversion models. Existing conversion models largely overlook the influence of critical seismic parameters such as magnitude, source-to-site distance, site class, and other seismological parameters. This study proposes a machine-learning-based PSV to SV conversion model to integrate these parameters using a comprehensive dataset of recorded ground motions from the Engineering Strong Motion Database (ESM 2.0). The developed model is further tuned to the sparse ground motion dataset for the Indian subcontinent, leveraging a Transfer Learning framework, enabling tailored SV estimations that reflect local seismic conditions. The resulting model is observed to provide a more accurate PSV-to-SV conversion tool, optimized for the Indian seismic scenario. Further, a median and envelope intensity-based SV/PSV ratio spectra across seven damping ratios is proposed for inclusion in design codes. This can serve as a default reference for design applications when detailed information about the seismic scenario is unavailable.

Keywords: Spectral velocity; Pseudo-spectral velocity; Engineering strong motion database; Indian sub-continent; Ground motion model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-025-07472-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:121:y:2025:i:14:d:10.1007_s11069-025-07472-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-025-07472-0

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-08-24
Handle: RePEc:spr:nathaz:v:121:y:2025:i:14:d:10.1007_s11069-025-07472-0