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Basin Geometry and Shallow Geometry Effects

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Southern California Seismic Site Response: Effects of Basin Geometry and Shallow Geology Jonathan P. Stewart University of California, Los Angeles
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Southern California Seismic Site Response: Effects of Basin

Geometry and Shallow Geology

Jonathan P. StewartUniversity of California, Los Angeles

Overview

• Parameterization of site factors –categories versus continuous variables (CV)

• Special considerations for basins• Opportunities for improving AASHTO

provisions

Parameterization of Site Factors

• NEHRP: Vs30-based categories, fS=f(A…E, Sa,rock)

Parameterization of Site Factors

• NEHRP: Vs30-based categories, fS=f(A…E, Sa,rock)

Borcherdt (1994)

Parameterization of Site Factors

• NEHRP: Vs30-based categories, fS=f(A…E, Sa,ref)

• Vs30 as a continuous variable, fS=f(Vs30, Sa,ref)

Parameterization of Site Factors

• NEHRP: Vs30-based categories, fS=f(A…E, Sa,ref)

• Vs30 as a continuous variable, fS=f(Vs30, Sa,ref)

• Introduced by BJF 1997– Linear– σ independent of Vs30

Parameterization of Site Factors

• NEHRP: Vs30-based categories, fS=f(A…E, Sa,ref)

• Vs30 as a continuous variable, fS=f(Vs30, Sa,ref)

• Introduced by BJF 1997– Linear– σ independent of Vs30

• CS (2005)– Nonlinear– σ = f(Vs30)

Velocity-dependence of linear site response

Velocity-dependence of slope representing

non-linearity

Velocity-dependence of standard deviation

Parameterization of Site Factors

• NEHRP: Vs30-based categories, fS=f(A…E, Sa,ref)

• Vs30 as a continuous variable, fS=f(Vs30, Sa,ref)

• Introduced by BJF 1997– Linear– σ independent of Vs30

• CS (2005)– Nonlinear– σ = f(Vs30)

• NGA (2008)– Empirical: BA, CY– Hybrid: AS, CB

NGA: Vs30-scaling of weak ground motion (M7, SS, r100km)

Abrahamson et al., 2008

NGA: Vs30-scaling of strong ground motion (M7, SS, r10km)

Abrahamson et al., 2008

Overview

• Parameterization of site factors –categories versus continuous variables (CV)

• Special considerations for basins• Opportunities for improving AASHTO

provisions

Physics of Basin ResponseSource outside

basinSource beneath

basin

DBL = Distinct source and siteBasin Locations

CBL = Coincident source and siteBasin Locations

Analysis Results – So. Cal.

0 1000 2000 3000 4000z1.5 (m)

-2

-1

0

1

2

Res

idua

l (ln

)

0 1000 2000 3000 4000z1.5 (m)

-2

-1

0

1

2

Res

idua

l (ln

)

Model B2CBL

T = 1 s T = 1 sModel B2DBL

CBL

Depth dependence

CBL:

DBL:

F-test: Distinct

DBL

Results of linear regression against depth within CBL and DBL categories…

slope > 0

slope ≈ 0

• Basin effect important for T > ∼ 0.7 s• CBL similar to 1D ground response (long recognized as depth dependent)• DBL expected to be unaffected by depth• Similar results from simulations

Basin Models• Source/site specific,

e.g. Shakeout (Graves et al., 2008)

Basin Models

• Source/site specific, e.g. Shakeout (Graves et al., 2008)

• Empirical:– SCEC (2000): linear

trend with z2.5

Basin Models

• Source/site specific, e.g. Shakeout (Graves et al., 2008)

• Empirical:– SCEC (2000): linear

trend with z2.5

– CSG (2005): trend for CBL, not for DBL

Basin Models

• Source/site specific, e.g. Shakeout (Graves et al., 2008)

• Empirical:– SCEC (2000): linear

trend with z2.5

– CSG (2005): trend for CBL, not for DBL

– NGA:• No basin: BA, I• Empirical, linear: CY,

CB• Hybrid: AS

Abrahamson and Silva, 2008

Improving AASHTO Provisions

• Ideal: web site for site-specific analysis• Move away from category-based site

classifications• Traditional vs PSHA-based factors?• Basin effect – work needed before ready

for national provisions


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