Chiou and Youngs PEER-NGA Empirical Ground Motion Model for ...

Chiou and Youngs PEER-NGA Empirical Ground Motion Model for ... Chiou and Youngs PEER-NGA Empirical Ground Motion Model for ...

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PATH SCALING Near-Source Distance Scaling: The scaling or attenuation of ground motion amplitude with distance from the earthquake rupture involves a number of issues. Foremost of interest for engineering application in active tectonic regions is the effect of extended sources that leads to magnitude-dependent attenuation rates at least within the distance range of 0 to 100 km. The consequence of this effect is what has been termed near-source saturation – less magnitude scaling at small source-site distances than at large source-site distances. There are four functional forms that have been used to model this effect in empirical ground motion models. These forms are shown on Figure 10 in terms of recent applications. The form that has been used for many years by Ross Sadigh and also by Ken Campbell is defined by Equation (3): ln( y) ∝ C M + C 2 c( M) = C 5 4 × ln exp [ R + c( M) ] { C M} In this form, magnitude-dependence is introduced by making parameter c a function of magnitude. Campbell (1993) introduced a modified version of Equation (3): ln( y) ∝ C M + C 2 4 c( M) = C 5 × ln exp C&Y2006 Page 17 6 2 2 [ R + c( M) ] { C M} Campbell and Bozorgnia (2003) further modified Equation (4) to introduce a quadratic magnitude term in defining c(M). The forms defined by Equations (3) and (4) introduce magnitude dependence through the parameter c(M). An alternative approach is to incorporate magnitude-dependence in the “slope” term. Idriss (1991) introduced the form ln( 2 4 5 6 [ R c] y ) ∝ C M + ( C + C M) × ln + (5) Abrahamson and Silva (1997) introduced a modified version of (5): 2 4 5 2 2 [ R ] ln( y ) ∝ C M + ( C + C M) × ln + c (6) The attenuation behavior of the four models shown on Figure 10 can be illustrated by plotting the attenuation rate, defined as ∂ ln( y) / ∂ ln( R) , versus distance. Figure 11 shows R + , the rate of attenuation approaches the value of the parameter C4 or C4+C5M at relatively short distances, allowing an interpretation of its value as an estimate of the rate of geometric spreading. For those ln R + c , the attenuation rate approaches the value of C4 or 2 2 the results. For those models that use the term ln[ c ] models that use the term [ ] (3) (4)

C4+C5M slowly and the value of the parameter cannot be interpreted as an estimate of the rate of geometric spreading at distances less that 50 km. Figure 10: Illustration functional forms used to capture magnitude-dependence of distance attenuation for distances less than 100 km. All plots are for rupture distance to a vertical strike-slip fault rupturing the surface and the values for Campbell and Bozorgnia (2003) were computed using a minimum RSEIS of 3 km. Figure 11: Plots of the instantaneous slope of the attenuation curve for the four ground motion models shown in Figure 10. The attenuation rate is defined as ∂ ln( pga) / ∂ ln( R) . C&Y2006 Page 18

PATH SCALING<br />

Near-Source Distance Scaling: The scaling or attenuation of ground motion amplitude with<br />

distance from the earthquake rupture involves a number of issues. Foremost of interest <strong>for</strong><br />

engineering application in active tectonic regions is the effect of extended sources that leads<br />

to magnitude-dependent attenuation rates at least within the distance range of 0 to 100 km.<br />

The consequence of this effect is what has been termed near-source saturation – less<br />

magnitude scaling at small source-site distances than at large source-site distances. There are<br />

four functional <strong>for</strong>ms that have been used to model this effect in empirical ground motion<br />

models. These <strong>for</strong>ms are shown on Figure 10 in terms of recent applications. The <strong>for</strong>m that<br />

has been used <strong>for</strong> many years by Ross Sadigh <strong>and</strong> also by Ken Campbell is defined by<br />

Equation (3):<br />

ln( y)<br />

∝ C M + C<br />

2<br />

c(<br />

M)<br />

= C<br />

5<br />

4<br />

× ln<br />

exp<br />

[ R + c(<br />

M)<br />

]<br />

{ C M}<br />

In this <strong>for</strong>m, magnitude-dependence is introduced by making parameter c a function of<br />

magnitude. Campbell (1993) introduced a modified version of Equation (3):<br />

ln( y)<br />

∝ C M + C<br />

2<br />

4<br />

c(<br />

M)<br />

= C<br />

5<br />

× ln<br />

exp<br />

C&Y2006 Page 17<br />

6<br />

2<br />

2<br />

[ R + c(<br />

M)<br />

]<br />

{ C M}<br />

Campbell <strong>and</strong> Bozorgnia (2003) further modified Equation (4) to introduce a quadratic<br />

magnitude term in defining c(M).<br />

The <strong>for</strong>ms defined by Equations (3) <strong>and</strong> (4) introduce magnitude dependence through the<br />

parameter c(M). An alternative approach is to incorporate magnitude-dependence in the<br />

“slope” term. Idriss (1991) introduced the <strong>for</strong>m<br />

ln( 2<br />

4 5<br />

6<br />

[ R c]<br />

y ) ∝ C M + ( C + C M)<br />

× ln +<br />

(5)<br />

Abrahamson <strong>and</strong> Silva (1997) introduced a modified version of (5):<br />

2<br />

4<br />

5<br />

2 2 [ R ]<br />

ln( y ) ∝ C M + ( C + C M)<br />

× ln + c<br />

(6)<br />

The attenuation behavior of the four models shown on Figure 10 can be illustrated by<br />

plotting the attenuation rate, defined as ∂ ln( y) / ∂ ln( R)<br />

, versus distance. Figure 11 shows<br />

R + , the rate of attenuation<br />

approaches the value of the parameter C4 or C4+C5M at relatively short distances, allowing<br />

an interpretation of its value as an estimate of the rate of geometric spreading. For those<br />

ln R + c , the attenuation rate approaches the value of C4 or<br />

2 2<br />

the results. For those models that use the term ln[ c ]<br />

models that use the term [ ]<br />

(3)<br />

(4)

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