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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-5 -4 -3 -2 -1 0.01 0.05 0.10 0.50 1.00 5.00 10.00 Period (sec) Figure 31: Variation of parameter c1 with spectral period. Number of Usable Data 400 600 800 1000 0.01 0.05 0.10 0.50 1.00 5.00 10.00 Period (sec) 0.8 1.1 1.6 Figure 32: Variation of number of usable recordings as a function of spectral period. C&Y2006 Page 43 4 8

Slope -1.5 -1.0 -0.5 0.0 0.5 1.0 0.01 0.05 0.10 0.50 1.00 5.00 10.00 Period (sec) Figure 33: Variation of the derivative of parameter c1 with respect to spectral period. FINAL MODEL FORMULATION The final model formulation is given by the relationships: ln ( SA ) = c + c F + c F + c ( Z − 4) ln 1130ij + c + c + 1 ( ) 2 3 cn ( cM −M i ) ( M − 6) + ln 1+ e ( R + c cosh( c ( M − c , 0) ) ) ( c − c ) ⎪⎧ + ⎨c ⎪⎩ + c 2 4 9 ln 4a γ 1 + τ ⋅ z i 1a i ⋅ cos RVi RUPij 4 ln⎜ ⎝ + cosh ( SA ) = ln( SA ) ij 2 1130ij 1b c 5 ⎛ 2 R RUPij + γ 2 ( M − c , 0) ) i n NMi − c c c γ 3 ⎛ R δ i ⋅ tanh ⎜ ⎝ 2 6 RUPij 7 c i 2 RB max ⎞ ⎟ tan ⎠ TORi ⎟⎞ ⎠ C&Y2006 Page 44 HM ⎪⎫ ⎬ ⋅ R ⎪⎭ −1 RUPij 0.8 max 1.1 1.6 ⎛ Wi cosδ i ⎜ ⎝ 2 TORi ( Z + 1) 4 ⎞ 1 ⎪⎧ ⎟ ⎨1 − ⎠ π / 2 ⎪⎩ R ⎛ ⎛V S 30ij ⎞ ⎞ + φ ⎜ ⎟ ⎜ ⎜ ⎟ 1 ⋅ ln , 0 ⎟ ⎝ ⎝ 1130 ⎠ ⎠ min φ ( ( V ) ) ( ) ⎛ SA S ij − ij + φ ⎞ 3 30 , 1130 360 φ − 1130 4 min 3 1130 360 + φ ⋅ { e − e } ⋅ ⎜ ⎟ 2 ln ⎝ φ4 ⎠ + σ ⋅ z ij The predictor variables for this model are: 8 RUPij RJBij ⎪⎫ ⎬ + 0. 001⎪⎭ (21a) (21b)

Slope<br />

-1.5 -1.0 -0.5 0.0 0.5 1.0<br />

0.01 0.05 0.10 0.50 1.00 5.00 10.00<br />

Period (sec)<br />

Figure 33: Variation of the derivative of parameter c1 with respect to spectral period.<br />

FINAL MODEL FORMULATION<br />

The final model <strong>for</strong>mulation is given by the relationships:<br />

ln<br />

( SA ) = c + c F + c F + c ( Z − 4)<br />

ln<br />

1130ij<br />

+ c<br />

+ c<br />

+<br />

1<br />

( )<br />

2 3<br />

cn<br />

( cM<br />

−M<br />

i )<br />

( M − 6)<br />

+ ln 1+<br />

e<br />

( R + c cosh(<br />

c ( M − c , 0)<br />

) )<br />

( c − c )<br />

⎪⎧<br />

+ ⎨c<br />

⎪⎩<br />

+ c<br />

2<br />

4<br />

9<br />

ln<br />

4a<br />

γ 1<br />

+ τ ⋅ z<br />

i<br />

1a<br />

i<br />

⋅ cos<br />

RVi<br />

RUPij<br />

4<br />

ln⎜<br />

⎝<br />

+<br />

cosh<br />

( SA ) = ln(<br />

SA )<br />

ij<br />

2<br />

1130ij<br />

1b<br />

c<br />

5<br />

⎛ 2<br />

R RUPij +<br />

γ 2<br />

( M − c , 0)<br />

)<br />

i<br />

n<br />

NMi<br />

− c<br />

c<br />

c<br />

γ 3<br />

⎛ R<br />

δ i ⋅ tanh<br />

⎜<br />

⎝ 2<br />

6<br />

RUPij<br />

7<br />

c<br />

i<br />

2<br />

RB<br />

max<br />

⎞<br />

⎟ tan<br />

⎠<br />

TORi<br />

⎟⎞<br />

⎠<br />

C&Y2006 Page 44<br />

HM<br />

⎪⎫<br />

⎬ ⋅ R<br />

⎪⎭<br />

−1<br />

RUPij<br />

0.8<br />

max<br />

1.1 1.6<br />

⎛ Wi<br />

cosδ<br />

i<br />

⎜<br />

⎝ 2 TORi<br />

( Z + 1)<br />

4<br />

⎞ 1 ⎪⎧<br />

⎟ ⎨1<br />

−<br />

⎠ π / 2 ⎪⎩ R<br />

⎛ ⎛V<br />

S 30ij<br />

⎞ ⎞<br />

+ φ ⎜ ⎟<br />

⎜ ⎜<br />

⎟<br />

1 ⋅ ln , 0<br />

⎟<br />

⎝ ⎝ 1130 ⎠ ⎠ min<br />

φ ( ( V ) ) ( ) ⎛ SA<br />

S ij −<br />

ij + φ ⎞<br />

3 30 , 1130 360 φ −<br />

1130 4<br />

min<br />

3 1130 360<br />

+ φ ⋅ { e<br />

− e } ⋅<br />

⎜<br />

⎟<br />

2<br />

ln<br />

⎝ φ4<br />

⎠<br />

+ σ ⋅ z<br />

ij<br />

The predictor variables <strong>for</strong> this model are:<br />

8<br />

RUPij<br />

RJBij<br />

⎪⎫<br />

⎬<br />

+ 0.<br />

001⎪⎭<br />

(21a)<br />

(21b)

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