Accounting for the uncertainties in the estimation of average shear wave velocity using VS-N correlations
Site-specific seismic hazard analysis is crucial for designing earthquake resistance structures, particularly in seismically active regions. Shear wave velocity ( V S ) is a key parameter in such analysis, although the economy and other factors restrict its direct field measurement in many cases. Va...
Gespeichert in:
Veröffentlicht in: | Frontiers of Structural and Civil Engineering 2021, Vol.15 (5), p.1199-1208 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Site-specific seismic hazard analysis is crucial for designing earthquake resistance structures, particularly in seismically active regions. Shear wave velocity (
V
S
) is a key parameter in such analysis, although the economy and other factors restrict its direct field measurement in many cases. Various
V
S
-SPT-
N
correlations are routinely incorporated in seismic hazard analysis to estimate the value of
V
S
. However, many uncertainties question the reliability of these estimated
V
S
values. This paper comes up with a statistical approach to take care of such uncertainties involved in
V
S
calculations. The measured SPT-
N
values from all the critical boreholes were converted into statistical parameters and passed through various correlations to estimate
V
S
at different depths. The effect of different soil layers in the boreholes on the
V
S
estimation was also taken into account. Further, the average shear wave velocity of the top 30 m soil cover (
V
S30
) is estimated after accounting for various epistemic and aleatoric uncertainties. The scattering nature of the
V
S
values estimated using different
V
S
-
N
correlations was reduced significantly with the application of the methodology. Study results further clearly demonstrated the potential of the approach to eliminate various uncertainties involved in the estimation of
V
S30
using general and soil-specific correlations. |
---|---|
ISSN: | 2095-2430 2095-2449 |
DOI: | 10.1007/s11709-021-0749-1 |