Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)

A Way to Evaluate the Site Classification by Chinese Seismic Design Specification From VS30data of NGA

Authors
Mei-Li SUN, Xia-xin TAO, Rui ZHI
Corresponding Author
Mei-Li SUN
Available Online December 2016.
DOI
10.2991/cnct-16.2017.93How to use a DOI?
Keywords
Site Classification; Shearwave velocity; VS20; VS30; NGA.
Abstract

On the basis of Vs30 and Vs20calculated from shearwave velocity profiles of 732 boreholes, a formula to estimate Vs20 from Vs30 is presented in this paper by reference to a recent suggestion, an iterative process to estimate rough overburden thickness is suggested based on two formulas for the average velocity at depth z from Vs30 and Vs20, and the velocity between two depths. A way to evaluate the site category by Chinese classification from the corresponding Vs30 is worked out.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-301-2
ISSN
2352-538X
DOI
10.2991/cnct-16.2017.93How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mei-Li SUN
AU  - Xia-xin TAO
AU  - Rui ZHI
PY  - 2016/12
DA  - 2016/12
TI  - A Way to Evaluate the Site Classification by Chinese Seismic Design Specification From VS30data of NGA
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 673
EP  - 677
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.93
DO  - 10.2991/cnct-16.2017.93
ID  - SUN2016/12
ER  -