by saeed fathali, ph.d. and bret lizundia, s.e. rutherford
TRANSCRIPT
1Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
Saeed Fathali, Ph.D. and Bret Lizundia, S.E.
Rutherford & Chekene
by
2011 EERI Annual Meeting Presentation
February 11, 2011
Component Period (sec.)
2Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
Outline
• Background
• Study Goals
• Peak Floor Acceleration
(PFA) vs. PGA Studies
• Component Amplification
Factor (ap) Studies
• Findings and
Recommendations
(1994 Northridge Earthquake, Mason Industries)
(1999 Izmit Earthquake, NISEE Izmit Collection,
Halil Sezen, published in FEMA E74 )
3Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
Background
ASCE/SEI 7-05 (and 7-10)
– Equation 13.3-1: Fp = (0.4 ap SDS Ip [1 + 2 (z / h)] / Rp )Wp
– Equation 13.3-2: Fp ≤ 1.6 SDS Ip Wp
– Equation 13.3-3: Fp ≥ 0.3 SDS Ip Wp
– Equation 13.3-4: Fp = ((ai ap ) / (Rp / Ip )) Ax Wp
• Covers architectural and MEP components.
• Uses NEHRP Map values for seismic demand.
• Variables include height up the building and
component amplification, importance and ductility.
4Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
Study Goals
• Goal: Collect, analyze, and study the response data
recorded from instrumented buildings to improve code
provisions for seismic demand on nonstructural
components in buildings.
• Focus: ASCE/SEI 7-05 Equation 13.3-1.
Fp / Wp = 0.4 ap SDS Ip [1 + 2 (z / h)] / Rp
PFA/PGA Studies
ap StudiesAnchored
Component House of Anchored
Components
R
z
h
5
4
3
2
5Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
Database Fields
• City and building description
• CSMIP station number
• Number of earthquake records
• Number of stories
• Roof elevation
• Lateral force-resisting system along two orthogonal, principal axes
• Vertical load-carrying system
• Original design date
• Approximate fundamental period, calculated per ASCE/SEI 7-05
• Orientation of principal axes
• Number of accelerometers
• Direction, location, elevation, and elevation relative to the roof height (z/h)
for each accelerometer
6Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
Database Characteristics
• Buildings: 151 fixed base and 18 seismically isolated
• Earthquakes: 73 for the fixed base bldgs, from 1978 to 2010
• Building-earthquake combinations: 541 for fixed base bldgs
0
20
40
60
80
100
120
140
≥ 0.01 ≥ 0.02 ≥ 0.05 ≥ 0.10 ≥ 0.20 ≥ 0.30 ≥ 0.40 ≥ 0.50 ≥ 0.60 ≥ 0.70 ≥ 0.8
139129
104
71
34
15
53
2 21
No.
Experienced PGA (g)
PGA Experienced for
Fixed Base Stations
7Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
“The Cloud” of Current Acceleration Data
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
0 1 2 3 4 5 6 7 8 9
z/h
PFA/PGA
Data Points from Fixed-base CSMIP Building Stations (N=3241)
CSMIP Data
No. = 2224
No. = 920
No. = 97
• 151 Fixed-base Building Stations• 73 Earthquakes• 541 “Building-Earthquake” Cases
IncreasingAmplification
Inc.Height
8Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
PFA/PGA Studies: Trend Line through Data Points
9Fathali and Lizundia,
© Rutherford & Chekene2011 EERI Annual Meeting Presentation
February 11, 2011
Finding Meaning in the Cloud – Relevant Issues
• How should the recorded data be processed?– Separate the orthogonal directions or combine?
– Use sensors at edges of floor plate or simulated at center of rotation?
– Use mean, maximum, vector maximum, or geomean?
• What variables are important?– Elevation in building, PGA, building period, lateral system, etc.
• Is the recorded data sufficiently robust?
• Equations that find the central trends in the data vs. those
that are used for design. The focus today is on design.
• Striking a balance between accuracy and ease of use.