Seismic risk analysis using Bayesian belief networks - Seismic Risk Analysis and Management of Civil Infrastructure Systems - page 193

Table 7.7 Description of the basic input parameters, states and
unconditional probabilities

Variable State Value

Plan irregularity (PI) Yes -

No -

Unknown -

Vertical irregularity (VI) Yes -

No -

Unknown -

Year of construction (YC) Old code < 1940

Moderate code 1940-1970

New code > 1970

Deterioration/degradation (DD) Yes -

No -

Unknown -

Site-specifi c hazard (SSH) SSH VL < 0.40

SSH L 0.40-0.57

SSH M 0.57-0.90

SSH H 0.90-1.1

SSH VH > 1.1

Table 7.8 CPT for building damage

BD(BD VL , BD L , BD M , BD H , BD VH ) (SSH, BV)

(SSH VL , BV VL )

(0.95, 0.5, 0, 0, 0)

(SSH VL , BV L )

(0.90, 0.10, 0, 0, 0)

. . . . . .

(SSH M , BV VH )

(0, 0, 0.10, 0.15, 0.75)

. . . . . .

(SSH VH , BV VH )

(0, 0, 0, 0.5, 0.95)

Increase in demand, ID: ID VL , ID L , ID M , ID H , and ID VH .

•

• Decrease in capacity, DC: DC VL , DC L , DC M , DC H , and DC VH .

Building vulnerability, BV: BV VL , BV L , BV M , BV H , and BV VH .

•

• Building damage, BD: BD VL , BD L , BD M , BD H , and BD VH .

where the superscript are defi ned as very low (VL), low (L), medium (M),
very high (VH) and extremely high (VVH), respectively. A snapshot of the
CPTs for building damages are provided in Table 7.8.

7.5.2 Example

The Northridge Earthquake with M w 6.7 struck the San Fernando Valley on
January 17, 1994. To demonstrate quantifi cation of damage assessment