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Sensitivity Analysis of Numerical Coherency Model for Rock Sitesopen access

Authors
Lee, DongyeonLee, YongheeKim, Hak-SungPark, Jeong-SeonPark, Duhee
Issue Date
Mar-2025
Publisher
MDPI
Keywords
coherency model; hard rock site; numerical simulation; plane-wave coherency; spatial variability
Citation
Applied Sciences-basel, v.15, no.6, pp 1 - 12
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
Applied Sciences-basel
Volume
15
Number
6
Start Page
1
End Page
12
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/207097
DOI
10.3390/app15062925
ISSN
2076-3417
2076-3417
Abstract
Characterization of ground motion incoherency can significantly reduce the seismic load imposed on large scale infrastructures. Because of difficulties in developing an empirical coherency function from a site-specific dense array, it is seldom used in practice. A number of studies used numerical simulations to develop generic coherency models. However, they have only been developed for idealized profiles. A comprehensive parametric study evaluating the effect of various parameters influencing the calculated coherency function has not yet been performed. We utilized the measured shear wave velocity (Vs) profile at Pinyon Flat, located in California, to perform a suite of time history analyses. This site was selected because the empirical coherency function developed here has been used as a reference model for rock sites. We performed several sensitivity studies investigating the effect of both the site spatial variability and numerical analysis parameters in order to provide a guideline for developing a coherency model from numerical simulations. The outputs were compared against the empirical coherency model to better illustrate the importance of the parameters. The coefficient of variation (CV) of Vs was revealed to be the primary parameter influencing the calculated plane-wave coherency, whereas the correlation length (CL) has a secondary influence. Site-specific convergence analyses should be performed to determine the optimum numerical parameter, including the number of analyses and depth of numerical model. Considering the importance of CV and Vs, it is recommended to perform field tests to determine site-specific values to derive numerical coherency functions.
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