Monte Carlo seismic response analysis of permafrost sites: a case study

Xiaobo Yu (), Rui Zhang, Yushun Cheng and Yuting Hu
Additional contact information
Xiaobo Yu: Guilin University of Technology
Rui Zhang: Guilin University of Technology
Yushun Cheng: Guilin University of Technology
Yuting Hu: Guilin University of Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 113, issue 1, No 10, 237-259

Abstract: Abstract The horizontal seismic responses in cold regions have not received adequate attentions. In seismic design for frozen ground, computations for unfrozen ground are generally adopted directly. This study uses the Monte Carlo method to verify the applicability of traditional seismic computations in cold regions. Xidatan valley, Kekexili mountain, Chumaerhe plain, and Beiluhe basin along the Qinghai–Tibet railway are selected as the study regions; a series of random soil profiles are generated. Equivalent linear analysis results show that the current Chinese code provides mismatched spectral site amplification estimations at rare seismic intensity level. These estimations can practically be updated by increasing the current seismic motion parameters along the Qinghai–Tibet railway or by amplifying the existing design spectrum with a coefficient. The melting of permafrost layer would increase spectral peak; 70% of the original thickness would result in spectral peak amplification of 120%. Ground temperature model and permafrost dynamic nonlinear performance should be further explored.

Keywords: Frozen ground; Monte Carlo method; Response spectrum; Chinese seismic code; NEHRP provisions (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-022-05298-8 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:113:y:2022:i:1:d:10.1007_s11069-022-05298-8

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

DOI: 10.1007/s11069-022-05298-8

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 ().