• No results found

Heintz ATC 63

N/A
N/A
Protected

Academic year: 2021

Share "Heintz ATC 63"

Copied!
50
0
0

Loading.... (view fulltext now)

Full text

(1)

ATC-63

FEMA P-695 Quantification of

Building Seismic Performance

Factors

LATBSDC Annual Meeting

May 7, 2010

ATC-63

FEMA P

FEMA P

-

-

695 Quantification of

695 Quantification of

Building Seismic Performance

Building Seismic Performance

Factors

Factors

LATBSDC Annual Meeting

May 7, 2010

Jon A. Heintz

Applied Technology Council

Director of Projects

(2)

Project Context

Background/Scope/Basis of Methodology

Methodology Overview

Example Application to Concrete Moment

Frame Systems

General Findings and Observations

Outline

Outline

(3)

ATC-63 Project Context

ATC

(4)

FEMA funded project

Multi-year effort beginning in 2004

FEMA P695 Quantification of

Building Seismic Performance

Factors (FEMA, 2009)

Genesis is rooted in R-factors



But Seismic Performance Factors

(

0

, C

d

) and design requirements

are covered

ATC-63 Quantification of Building

System Performance and Response

Parameters

ATC

ATC

-

-

63 Quantification of Building

63 Quantification of Building

System Performance and Response

System Performance and Response

Parameters

(5)

R-factors were first introduced in 1978



ATC 3-06 Tentative Provisions for the

Development of Seismic Regulations for New

Buildings

1988 NEHRP Recommended Provisions for

the Development of Seismic Regulations for

New Buildings

1988 Uniform Building Code (UBC)

1985 UBC and earlier utilized K-factors

ATC-63 Project Context

ATC

(6)

K-factors – there were essentially 4

(frame, box, dual system, ductile moment frame)

ATC 3-06 R-factors – there were 21

1988 NEHRP Provisions – there were 30

Today in ASCE/SEI 7-05 – there are 83

Critically important to seismic design



Set seismic design base shear



Account for system ductility and damping during

inelastic response

ATC-63 Project Context

ATC

(7)

But how were they determined?

R

R

I

I

0

0

0

0

0

0

0

0

3/8R

3/8R

W

W

R

R

W

W

C

C

d

d

0.7R

0.7R

ATC-63 Project Context

ATC

(8)

That was then, this is now

Advent of Performance Based Seismic Design



SEAOC Vision 2000 (1995)



FEMA 273 NEHRP Guidelines for the Seismic

Rehabilitation of Buildings (1997)

More than a decade of maturation and

development of advanced analytical

procedures

We are now attempting to quantify the seismic

performance of buildings

ATC-63 Project Context

ATC

(9)

And asking the question: What performance

goals do our building codes achieve?

0 0.05 0.1 0.15 0 0.5 1 1.5 2 2.5 3 3.5 4 S ag .m . (T = 1 .0 s )[ g ]

Maximum Interstory Drift Ratio

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 1 2 3 4 5 Pc o lla p se 2 2 2 2 MDL TD DR RTR TOT ββββ ββββ ββββ ββββ β ββ β ==== ++++ ++++ ++++

Objective - replace the smoke with science

ATC-63 Project Context

ATC

(10)

Background, Scope, and Basis

Background, Scope, and Basis

(11)

Project Organization

Project Organization

Project Organization

FEMA

Applied Technology Council

ATC Management Committee

Project Executive Director (Chair) Project Technical Monitor Project Quality Control Monitor

ATC-63 Project Management Committee

Project Technical Director (Chair) Five Members Working Groups Technical Consultants ATC Staff Technical Support Administration

Project Review Panel

Twelve Members

PMC Members

Charles Kircher (Chair)

Greg Deierlein – Stanford

M. Constantinou – Buffalo

John Hooper - MKA

James Harris – HA

Allan Porush - URS

Working Groups

Stanford – NDA Krawinkler – AAC

SUNY – NSA/NCA Filiatrault – Wood

PRP Members

Maryann Phipps (Chair)

Amr Elnashai - MAE

S.K. Ghosh - SKGA

Ramon Gilsanz- GMS

Ron Hamburger - SGH

Jack Hayes - NIST

Bill Holmes – R&C

Richard Klingner - UT

Phil Line - AFPA

Bonnie Manley - AISI

Andre Reinhorn - UB

Chris Rojahn - ATC

Rafael Sabelli - WPM

FEMA

Michael Mahoney

Robert Hanson

ATC Management

Chris Rojahn (PED)

Jon Heintz (PQC)

William Holmes (PTM)

(12)

ATC-63 Project Objectives

ATC

ATC

-

-

63 Project Objectives

63 Project Objectives

Primary –

Create a methodology for determining Seismic

Performance Factors (SPF’s)

“that, when properly

implemented in the design process, will result in the

equivalent earthquake performance for buildings different

lateral-force-resisting systems”

Secondary –

Evaluate a sufficient number of different

lateral-force-resisting systems to provide a basis for Seismic

Code committees (e.g., BSSC PUC) to develop a simpler

set of lateral-force-resisting systems and more rational

SPF’s (and related design criteria) that would more reliably

achieve the inherent earthquake safety performance

(13)

New Buildings – Methodology applies to the seismic-force-resisting

system of new buildings and

may not be appropriate for

non-building structures and does not apply to nonstructural systems.

NEHRP Provisions (ASCE 7-05) – Methodology is based on design

criteria, detailing requirements, etc. of the

NEHRP Provisions (i.e.,

ASCE 7-05 as adopted by the BSSC for future NEHRP Provisions

development)

and, by reference, applicable design standards

Life Safety – Methodology is based on life safety performance

(only) and

does not address damage protection and functionality

issues

(e.g., I = 1.0 will be assumed)

Structure Collapse – Life safety performance is achieved by

providing an acceptably low probability of

partial collapse and

global instability of the seismic-force-resisting system

for MCE

ground motions

MCE Ground Motions – MCE ground motions are based on the

spectral response parameters of the NEHRP Provisions (ASCE

7-05), including site class effects

Scope and Basis of the Methodology

Scope and Basis of the Methodology

(14)

Ground Motion Record Set

Ground Motion Record Set

Ground Motion Record Set

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 2.2 2.4 0 0.5 1 1.5 2 2.5 3 3.5 4 Period (seconds) S p e c tr a l A c c e le ra ti o n ( g ) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 S ta n d a rd D e v ia ti o n L n ( S a )

Median Spectrum - Far-Field Set

Far-Field Record Set:

R > 10 km

Large Magnitude Events:

Moment magnitude, M > 6.5

Equal Weighting of Events:

≤ 2 records per event

Strong Ground Shaking:

PGA > 0.2g /PGV > 15 cm/sec

Source Type:

Both Strike-Slip and Thrust Fault Sources

(15)

Technical Approach of the Methodology

Technical Approach of the Methodology

Technical Approach of the Methodology

Conceptual Framework – Methodology

incorporates

cutting edge (nonlinear/probabilistic)

performance-based analysis methods while remaining true to the

basic concepts and definitions of seismic performance

factors of ASCE 7-05 and the NEHRP Provisions

(e.g., global pushover concept as described in the

Commentary of FEMA 450)

ASCE 7-05/NEHRP

Design Provisions

(e.g., base shear)

V = C

s

W

Performance-Based

Analysis Methods

Probabilistic Collapse

Fragility

Nonlinear (Incremental)

Dynamic Analysis

(16)

Overview of the Methodology

Overview of the Methodology

(17)

Peer Review

Requirements

Test Data

Requirements

Design Information

Requirements

Analysis

Methods

Ground

Motions

Methodology

Elements of the Methodology

Elements of the Methodology

(18)

Notional Flowchart of Process

Notional Flowchart of Process

Notional Flowchart of Process

Develop

Design Rules

Develop

Test Data

Notes

“Homework” phase

Characterize System

Behavior

Define Archetypes

Yes

Peer Review applies

to total process

Review and Documentation

P[Collapse] < Limit

Trial value of the R

factor acceptable?

Evaluate System Performance

Evaluate CMR values

(and overstrength)

Perform Pushover

and NDA

Analyze Archetype Models

Design archetypes

(w/trial of R Factor)

Develop Archetype Models

(19)

Notional Collapse Fragility – One Data Point

Notional Collapse Fragility

Notional Collapse Fragility

One Data Point

One Data Point

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Scaled Ground

Motion Record

+

Joe’s

Beer! Beer! Food! Food!

Building

(Joe’s Bar)

Incipient

Collapse

=

Evaluation of a individual structure (one configuration/set

of performance properties) to failure using one ground

(20)

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c ele ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

-0.6 -0.3 0 0.3 0.6 0 2 4 6 8 10 12 14 16 18 20 Time (Seconds) A c c e le ra ti o n ( g 's )

1989 Loma Prieta - Corralitos (128 deg.)

Ground Motion

+

Joe’s Beer! Beer! Food! Food! Building (Joe’s Bar) Incipient Collapse

=

Notional Collapse Fragility – Comprehensive Data

Notional Collapse Fragility

Notional Collapse Fragility

Comprehensive Data

Comprehensive Data

Robust analytical

models of building

configuration/performance

properties evaluated with

representative earthquake records

Comprehensive

collapse data

(21)

0

0.05

0.1

0.15

0

0.5

1

1.5

2

2.5

3

3.5

4

S

a

g

.m

.

(T

=

1

.0

s

)[

g

]

36 records

Notional Collapse Fragility

Notional Collapse Fragility

(22)

Notional Collapse Fragility

Notional Collapse Fragility

Notional Collapse Fragility

Order collapse data from least to greatest

Plot as a cumulative distribution function



Probability versus collapse intensity

0 0.05 0.1 0.15 0 0.5 1 1.5 2 2.5 3 3.5 4 S a g .m . (T = 1 .0 s )[ g ]

(23)

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0

Collapse Spectral Acceleration (g)

C

o

ll

a

p

s

e

P

ro

b

a

b

il

it

y

.

Comprehensive Collapse Data

Lognormal Distribution

Notional Collapse Fragility Curve

Notional Collapse Fragility Curve

Notional Collapse Fragility Curve

50% probability

of collapse at

S

CT

= 1.6g

10% probability

of collapse at

S

CT

= 0.9g (S

MT

)

Acceptably low

probability of

collapse given MCE

spectral acceleration

CMR

Collapse Margin Ratio

(24)

Performance Evaluation

Performance Evaluation

Performance Evaluation

Simply…



Verify that calculated CMR < acceptable CMR

But…



What is an acceptable probability of collapse?



How many data points are enough?



What is an appropriate analytical model?



How do we address uncertainty?

(25)

Illustrative Example

Illustrative Example

(26)

Develop

Design Rules

Develop

Test Data

Define Archetypes

Yes

Review and Documentation

P[Collapse] < Limit

Evaluate System Performance

Analyze Archetype Models

Develop Archetype Models

No

Reinforced

Concrete Special

Moment Frame

System

Example – RC SMF System

Example

(27)

Office occupancy

Frame System

High seismic regions

Design Code:

IBC / ACI / ASCE 7

Typical Frame Members

Beams: 32” to 40” deep

Columns: 24”x28” to 30”x40”

Governing Design Parameters

- Beams: minimum strength

- Column size: joint strength

- Column strength: SCWB

- Drift: just meets limit

8 inch PT slab

System Conception

System Conception

(28)

System Configuration

System Configuration

System Configuration

Space Frame

Perimeter Frame

(29)

System Design Space

System Design Space

System Design Space

13' (typ.) 15' 12-story 20-story 1-story 2-story 4-story 8-story

3 bays @ 20' 3 bays @ 20' 3 bays @ 20' 3 bays @ 20' 3 bays @ 20' 3 bays @ 20'

Number of Stories

(30)

Performance Groups

Performance Groups

Performance Groups

Performance Group Summary

Grouping Criteria

Design Load Level

Group

No.

Basic

Configuration

Gravity

Seismic

Period

Domain

Number of

Archetypes

PG-1

Short

≥ 3

PG-2

Max SDC

Long

≥ 3

PG-3

Short

≥ 3

PG-4

High

Min SDC

Long

≥ 3

PG-5

Short

≥ 3

PG-6

Max SDC

Long

≥ 3

PG-7

Short

≥ 3

PG-8

Type 1

Low

Min SDC

Long

≥ 3

20-foot bays

Repeat for 30-foot bays

Space frame

Perimeter frame

High seismic design

(31)

Deterioration Modes and Collapse

Scenarios

Deterioration Modes and Collapse

Deterioration Modes and Collapse

Scenarios

Scenarios

1. Deterioration Modes of RC Elements

- Shear, flexure, joint degradation

2. Building System Collapse Scenarios

- Sidesway Collapse (SC)

- Loss in Vertical Load Carrying Capacity (LVCC)

(32)

Deterioration Modes

Deterioration Modes

Deterioration Modes

A

Flexural hinging of beam-column elements

B

Column compressive failure

C

Beam-column shear failure

D

Joint shear failure

E

Pull-out and

bond-slip of rebar at connections

F

Slab-column

connection punching shear

(33)

Nonlinear Analysis Models

Nonlinear Analysis Models

Nonlinear Analysis Models

2D multistory model to capture likely sidesway

collapse scenarios and component behavior

Joints with both bond-slip

springs and shear springs

Column

bond-slip springs

Lumped plasticity

beam-columns

(34)

Concrete Hinge Model Calibration

Concrete Hinge Model Calibration

Concrete Hinge Model Calibration

-300 -200 -100 0 100 200 300 S h e a r F o rc e ( k N ) Experimental Results Model Prediction

Identify and Test Key

Parameters:

• strength

• initial stiffness

• post-yield stiffness

• plastic rotation (capping) capacity

• post-capping slope

• cyclic deterioration rate

Example Data Set:

• 250+ columns (PEER database)

• flexure & flexure-shear dominant

• calibrated to

median

(35)

0

0.05

0.1

0.15

0

0.5

1

1.5

2

2.5

3

3.5

4

S

a

g

.m

.

(T

=

1

.0

s

)[

g

]

0

0.05

0.1

0.15

0

0.5

1

1.5

2

2.5

3

3.5

4

S

a

g

.m

.

(T

=

1

.0

s

)[

g

]

36 records

Simulation Results

Simulation Results

Simulation Results

(36)

Simulation Results: Collapse Modes

Simulation Results: Collapse Modes

Simulation Results: Collapse Modes

40% of collapses 27% of collapses

17% of collapses

**Predicted by Static Pushover

12% of collapses 0 0.05 0.1 0.15 0 0.5 1 1.5 2 2.5 3 3.5 4 S ag .m . (T = 1 .0 s )[ g ]

Maximum Interstory Drift Ratio

Incremental

(37)

0 0.5 1 1.5 2 2.5 3 3.5 4

S

a

g .m .

(T

=

1

.0

s

)[

g

]

Capacity Stats.:

Median = 2.2g

σ

LN

= 0.36

Simulation Results: Collapse Data

Simulation Results: Collapse Data

Simulation Results: Collapse Data

MCE = 0.8 g

Median

col

= 2.2g

(38)

Effect of Uncertainties

Effect of Uncertainties

Effect of Uncertainties

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0 1 2 3 4 5

CMR

= 0.4

S

a

/S

MT

> 0.4

FOUR CONTRIBUTORS:

1.

Record-to-Record Variability

(

β

β

β

β

RTR

= 0.4)

2.

Design Requirements

3.

Quality of Test Data

4.

Quality of Analytical Model

2

2

2

2

MDL

TD

DR

RTR

TOT

β

β

β

β

β

β

β

β

β

β

β

β

β

β

β

β

β

β

β

β

=

=

=

=

+

+

+

+

+

+

+

+

+

+

+

+

Greater uncertainties will require larger median collapse margins

Collapse

Probability at

MCE?

(39)

Table 3-1 Quality Rating for Design Requirements

Completeness and Robustness

Confidence in Basis of Design Requirements

High Medium Low

High. Extensive safeguards

against poor behavior. All important design and quality assurance issues are

addressed.

(A) Superior (B) Good (C) Fair

M edium. Reasonable

safeguards against poor behavior. Most of the important design and quality assurance issues are addressed.

(B) Good (C) Fair (D) Poor

Low. Questionable

safeguards against poor behavior. Many important design and quality

assurance issues are not addressed.

(C) Fair (D) Poor --

Quality Ratings

Quality Ratings

(40)

Total Collapse Uncertainty

Total Collapse Uncertainty

Total Collapse Uncertainty

Design Requirements:

A-Superior

Test Data:

B-Good

Nonlinear Model:

A-Superior

Uncertainty - Nonlinear Model

A - Superior

Uncertainty - Quality of Design Requirements

Uncertainty - Quality of

Test Data

A - Super. B - Good C - Fair

D - Poor

A - Superior

0.55

0.55

0.65

0.80

B - Good

0.55

0.60

0.70

0.85

C - Fair

0.65

0.70

0.80

0.90

(41)

0 0.05 0.1 0.15 0 0.5 1 1.5 2 2.5 3 3.5 4 S ag .m . (T = 1 .0 s )[ g ]

Maximum Interstory Drift Ratio

Incremental

Dynamic Analysis

Results

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Sa g.m.(T=1.0s) [g] C u m m u la ti v e P ro b a b ili ty o f C o lla p s e Empirical CDF Lognormal CDF (RTR Var.)

Lognormal CDF (RTR + Modeling Var.)

Median = 2.2g

σ

σ

σ

σ

LN, Total

= 0.36

Adjusted Collapse Fragility Curve

Adjusted Collapse Fragility Curve

Adjusted Collapse Fragility Curve

MCE = 0.8g

(42)

Acceptable Collapse Margin Ratios

Acceptable Collapse Margin Ratios

Acceptable Collapse Margin Ratios

Collapse Probability

Total System

Collapse

Uncertainty

5%

10%

(ACMR

10%

)

15%

20%

(ACMR

20%

)

25%

0.275

1.57

1.42

1.33

1.26

1.20

0.300

1.64

1.47

1.36

1.29

1.22

0.500

2.28

1.90

1.68

1.52

1.40

0.525

2.37

1.96

1.72

1.56

1.42

0.550

2.47

2.02

1.77

1.59

1.45

0.575

2.57

2.09

1.81

1.62

1.47

For any one archetype

On average per performance group

(43)

Example Results – RC SMF System

Example Results

Example Results

RC SMF System

RC SMF System

Design Configuration Computed Collapse Margin Acceptance Check

Arch. Design ID

Number Stories No. of

Framing / Gravity Loads Seismic SDC Static Ω CMR µc SSF ACMR Accept. ACMR Pass/Fail

Maximum Seismic (Dmax) and Low Gravity (Perimeter Frame) Designs, 20' Bay Width

2069 1 P Dmax 1.6 1.18 16.1 1.34 1.58 1.59 Near Pass 2064 2 P Dmax 1.8 1.50 19.5 1.34 2.01 1.59 Pass 1003 4 P Dmax 1.6 1.61 9.2 1.42 2.29 1.59 Pass 1011 8 P Dmax 1.6 1.25 7.9 1.62 2.02 1.59 Pass 1013 12 P Dmax 1.7 1.45 10.0 1.62 2.35 1.59 Pass 1020 20 P Dmax 1.6 1.66 7.2 1.59 2.64 1.59 Pass Mean/Acceptable: -- -- 1.7 -- -- 2.15 2.02 Pass

Maximum Seismic (Dmax) and High Gravity (Space Frame) Designs, 20' Bay Width

2061 1 S Dmax 4.0 1.96 16.1 1.34 2.62 1.59 Pass 1001 2 S Dmax 3.5 2.06 14.3 1.34 2.76 1.59 Pass 1008 4 S Dmax 2.7 1.78 9.6 1.42 2.53 1.59 Pass 1012 8 S Dmax 2.3 1.63 6.2 1.55 2.52 1.59 Pass 1014 12 S Dmax 2.1 1.59 5.8 1.53 2.44 1.59 Pass 1021 20 S Dmax 2.0 1.98 9.1 1.62 3.21 1.59 Pass Mean/Acceptable: -- -- 2.8 -- -- 2.68 2.02 Pass

(44)

RC SMF Example - Conclusions

RC SMF Example

RC SMF Example

-

-

Conclusions

Conclusions

A value of R=8 provides an acceptable level

of collapse safety

The Methodology is reasonably

well-calibrated to current design provisions



RC SMF systems didn’t fail miserably



RC SMF systems didn’t pass easily

(45)

Peer Review Considerations

Peer Review Considerations

Peer Review Considerations

Implementation involves:



Uncertainty



Judgment



Potential for variation

Peer Review is critical for:



Testing



Archetype development



Analytical modeling



Quality rating assessment

Peer Review Requirements Test Data Requirements Design Information Requirements Analysis Methods Ground Motions Methodology Peer Review Requirements Peer Review Requirements Test Data Requirements Test Data Requirements Design Information Requirements Design Information Requirements Analysis Methods Analysis Methods Ground Motions Ground Motions Methodology

(46)

Observations and Findings

Observations and Findings

(47)

Observations and Findings

Observations and Findings

Observations and Findings

Methodology was developed considering:



special concrete moment frames



ordinary concrete moment frames



special steel moment frames



wood shear walls

Some trends in our current design process

have become apparent…

(48)

Observations and Findings

Observations and Findings

Observations and Findings

Performance assessment is a difficult challenge

fraught with much uncertainty

Buildings located in the near-field have higher

collapse probabilities

Short period buildings have higher collapse

probabilities

Collapse performance varies by Seismic Design

Category

Secondary systems influence collapse capacity

There is no practical difference in performance

between R=6 and R=6.5

(49)

Summary

Summary

Summary

Recommended Methodology provides a rational

basis for establishing global seismic performance

factors (e.g., R factors)

Intended to support and improve Seismic Codes:



Adoption of new systems that must be assigned values

of seismic performance factors



Improvement of current values of seismic performance

factors of existing systems



Collapse evaluation of a specific building designed

using alternative “performance-based” methods

FEMA P-695 is now available online and in print

(50)

Thank you!

Thank you!

References

Related documents

 To identify RA training programs sponsored by nearly 16,000 employers nationwide, visit: www.mynextmove.org/vets.. Your civilian education brings value to the organization and

Participants (N= 487) from a university in Tanzania completed a questionnaire, which assessed abusive childhood sexual experiences, gathering information about age

Comprehensive thermal analysis on a number of common concrete multilayer walls with similar material properties and thicknesses demonstrated that walls with two

Analele Universit ăţ ii “Constantin Brâncu ş i” din Târgu Jiu, Seria Economie, Nr.. Necesitatea de a utiliza software- ul în modelarea

Top, A-C, approximate section levels: Distal (A), mid-shaft (B) and proximal (C) transverse sections stained for K6 and K7. K6 is expressed in the urethral plate and basal cells of

Collection Manager  Collection rules  Collection strategy  Allocate worklist items  Control statistics  Business partner  Collection profile  Collection group

According to the table 2.1 above and figure 2.1 on the current business scene the region under the proposed business has a total of 35 learning institutions, out of the 35 (43%) the

Analysis of Results. We tested the following speciÞc hypotheses: 1) The microsatellite loci AG-D7, AG- D10, and AG-D12 will amplify only in boll weevil (including both subspecies