0
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Time-Domain Analysis for Rayleigh Wave Scattering by Complex Terrain of Alpine Valley

, , , &
Received 07 Mar 2024, Accepted 26 Jul 2024, Published online: 08 Aug 2024
 

ABSTRACT

In this paper, a time-domain solution for Rayleigh wave scattering from a complex site of Alpine Valley is presented based on the scaled boundary finite element method (SBFEM). Both the near-field region and the far-field region are assumed to be homogeneous, isotropic linear elastomers, where the near-field region is discretized using the quadtree method and the far-field region is simulated with a displacement unit impulse response function. The input of Rayleigh waves is solved by the equivalent loading method. The scattering behavior of seismic waves in alpine valleys is comprehensively analyzed, and the results are of theoretical significance for site safety evaluation and seismic defenses.

Acknowledgments

The authors would like to acknowledge the National Natural Science Foundation of China (Nos. 51978320 and 11962016), which collectively funded this project.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Author Contributions Statement

Yuwang Liang: Formal analysis, Data curation, Writing – original draft. Fengxi Zhou: Conceptualization, Methodology, review & editing. Xiaolin Cao: reviewing and editing. Yong Wang: reviewing and editing. Rui Luo: reviewing and editing.

Data Availability Statement

Data will be made available on request.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [12362030].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 258.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.