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Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Sapienza – University of Rome
Pierluigi Olmati, Ph.D. student, P.E.
Francesco Petrini, Ph.D., P.E.
Konstantinos Gkoumas, Ph.D., P.E.
Sapienza - University of Rome
Dipartimento di Ingegneria Strutturale e
Geotecnica
Blast resistance assessment of a reinforced precast
concrete wall under uncertainty
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Presentation outline
2
• Introduction
• Component damage levels and response
parameters
• Blast scenario and targets
• Blast scenario
• Precast cladding wall panel
• Input data
• Fragility curves
• Calculation procedure
• Results
• Conclusions
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Presentation outline
3
• Introduction
• Component damage levels and response
parameters
• Blast scenario and targets
• Blast scenario
• Precast cladding wall panel
• Input data
• Fragility curves
• Calculation procedure
• Results
• Conclusions
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Introduction
The case of the Ronan Point apartments building
4
Reference:
NISTIR 7396: Best practices for reducing the potential
for progressive collapse in buildings. Washington DC:
National Institute of Standards and Technology (NIST),
2007.
Details:
-apartment building,
-built between 1966 and 1968,
-64 m tall with 22 story,
-walls, floors, and staircases were made of
precast concrete,
-each floor was supported directly by the walls in
the lower stories (bearing walls system).
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
5
Cause Damage Pr. Collapse
Details:
-apartment building,
-built between 1966 and 1968,
-64 m tall with 22 story,
-walls, floors, and staircases were made of
precast concrete,
-each floor was supported directly by the walls in
the lower stories (bearing walls system).
The event:
-May 16, 1968 a gas explosion blew out an
outer panel of the 18th floor,
-the loss of the bearing wall causes the
progressive collapse of the upper floors,
-the impact of the upper floors’ debris caused the
progressive collapse of the lower floors.
Introduction
The case of the Ronan Point apartments building
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Collapse probability
6
LOAD STRUCTURE RESPONSE
Truck bomb
1.8 ton TNT
A. P. M. Building
Before 19/05/95
A. P. M. Building
After 19/05/95
HAZARD COLLAPSE
RESISTENCE
P[●]: probability
P[●|■]: conditional probability
H: Hazard
LD: Local Damage
C: Collapse
NISTIR 7396
UFC 4-023-03
References:
EXPOSURE
VULNERABILITY
ROBUSTESS
∑i = P[C]P[LD|Hi]P[Hi] P[C|LD]
LOCAL EFFECTCAUSE GLOBAL EFFECT
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Presentation outline
7
• Introduction
• Component damage levels and response
parameters
• Blast scenario and targets
• Blast scenario
• Precast cladding wall panel
• Input data
• Fragility curves
• Calculation procedure
• Results
• Conclusions
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
8
Component damage levels and response
parameters
Response parameters Φelastic
Φplastic
Mplasticδ
δel
-r
-rel
R = r A
L
L
Ductility ratio Support rotation
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
9
Component damage levels θ [degree] μ [-]
Blowout >10° none
Hazardous Failure ≤10° none
Heavy Damage ≤5° none
Moderate Damage ≤2° none
Superficial Damage none 1
Blowout: component is overwhelmed by the blast load causing
debris with significant velocities.
Hazardous Failure: component has failed, and debris velocities range from
insignificant to very significant.
Heavy Damage: component has not failed, but it has significant
permanent deflections causing it to be un-repairable.
Moderate Damage: component has some permanent deflection. It is
generally repairable, if necessary, although
replacement may be more economical and aesthetic.
Superficial Damage: component has no visible permanent damage.
Component damage levels (CDL’s)
Source: US Army Corps of Engineers
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Presentation outline
10
• Introduction
• Component damage levels and response
parameters
• Blast scenario and targets
• Blast scenario
• Precast cladding wall panel
• Input data
• Fragility curves
• Calculation procedure
• Results
• Conclusions
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
11
Blast scenario and targets
Blast scenario – aerial view
Street
Level 2
Level 3
Level 1
Target
Explosive
weight
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
12
Blast scenario and targets
Blast scenario – section view
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
13
Blast scenario and targets
Blast scenario – section view: uncertainties
Fence barrier
Vehicle bomb
w [kgp]
p [W]
Stand-off distance
r [m]
p [R]
Cladding wall
θi
p [Θi]
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
14
Panel dimensions:
3500x1500x150 mm
(137x59x6 in.)
Panel reinforcement:
12 φ10 mm (0.4 in.)
Panel materials:
Concrete fcm=35 MPa (5000 psi)
Steel B450C (≈GR60)
Blast scenario and targets
Precast cladding wall panel
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
15
Symbol Description Mean COV Distribution
fc Concrete strength 28MPa 0.18 Lognormal
fy Steel strength 495 MPa 0.12 Lognormal
L Panel length 3500 mm 0.001 Lognormal
H Panel height 150 mm 0.001 Lognormal
b Panel width 1500 mm 0.001 Lognormal
c Panel cover 75 mm 0.01 Lognormal
W Explosive weight 227 kgf 0.3 Lognormal
R Stand-off distance 15 m 20 m 25 m 0.05 Lognormal
Blast scenario and targets
Input data
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Presentation outline
16
• Introduction
• Component damage levels and response
parameters
• Blast scenario and targets
• Blast scenario
• Precast cladding wall panel
• Input data
• Fragility curves
• Calculation procedure
• Results
• Conclusions
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
17
Fragility curves
Failure probability
Pf(X>x0|IM)
Intensity Measure (IM)
p(IM)
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
18
Fragility curves
Flowchart
CDL (j)
Z=i
MC analysis
FC-CDL (i, j, k)
FC-CDL (j,k)
FC-CDL (k)
i=N ?
j=M ?i=i+1
j=j+1
YES
NO
NO
YES
• CDL: Component Damage Level
• R: Stand-off distance
• Z: Scaled distance
• FC-CDL: numerical Fragility Curves
of the Component Damage Level
• i: the i-th point, of the j-th FC-CDL
corresponding to the k-th R
• j: the j-th CDL
• k: the k-th stand-off distance
• MC analysis: Monte Carlo analysis
• N: number of FC-CDL points, or
number of the Z
• M: number of the CDL
• L: number of the stand-off
distance
• Interpolated FC-CDL: lognormal
interpolated Fragility Curves of the
Component Damage Level
R=k
k=L ?
YES
NO
k=k+1
FC-CDL
Lognormal
Interpolation
Interpolated
FC-CDL
j=1 i=1 k=1
INTENSITY MEASURE
• CDL: Component Damage Level
• R: Stand-off distance
• Z: Scaled distance
• FC-CDL: numerical Fragility Curve
of the Component Damage Level
• i: the i-th point, of the j-th FC-CDL
corresponding to the k-th R
• j: the j-th CDL
• k: the k-th stand-off distance
• MC analysis: Monte Carlo
analysis
• N: number of FC-CDL points, or
number of the Zs
• M: number of the CDLs
• L: number of the stand-off
distances
• Interpolated FC-CDL: lognormal
interpolated Fragility Curve of the
Component Damage Level
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
19
Fragility curves
Intensity measure
ta to t
-
o
Pso
P
-
so
Po
Reflected pressure
Incident pressure
Prα
P
-
rα
Peak pressure
Impulse density
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
20
Fragility curves
Intensity measure
Scaled distance
Side-on pressure
Side-on impulse density
Shock duration
Shock wave
Reflected pressure
INTENSITY MEASURE
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
21
Fragility curves
Intensity measure
1
10
100
1000
100 1000 10000 100000
P[kPa]
i [kPa ms]
θ=2ƒ
θ=5ƒ
θ=10ƒ
I
D
P
I: impulsive region
D: dynamic region
P: pressure region
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
22
Fragility curves
Intensity measure
0
20
40
60
80
100
2.4 2.6 2.8 3.0 3.2 3.4
Pf(X>x0|Z)
Z
Hazardous Failure
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
23
Fragility curves
Flowchart
CDL (j)
Z=i
MC analysis
FC-CDL (i, j, k)
FC-CDL (j,k)
FC-CDL (k)
i=N ?
j=M ?
i=i+1
j=j+1
YES
NO
NO
YES
• CDL: Component Damage Level
• R: Stand-off distance
• Z: Scaled distance
• FC-CDL: numerical Fragility Curves
of the Component Damage Level
• i: the i-th point, of the j-th FC-CDL
corresponding to the k-th R
• j: the j-th CDL
• k: the k-th stand-off distance
• MC analysis: Monte Carlo analysis
• N: number of FC-CDL points, or
number of the Z
• M: number of the CDL
• L: number of the stand-off
distance
• Interpolated FC-CDL: lognormal
interpolated Fragility Curves of the
Component Damage Level
R=k
k=L ?
YES
NO
k=k+1
FC-CDL
Lognormal
Interpolation
Interpolated
FC-CDL
j=1 i=1 k=1
Fragility curves for
n° M CDLs and the
k-th stand-off
distance (R)
Fragility curves for
n°M CDLs and n°L
stand-off distances
(R)
Fragility curve for
the j-th CDL and the
k-th stand-off
distance (R)
• CDL: Component Damage Level
• R: Stand-off distance
• Z: Scaled distance
• FC-CDL: numerical Fragility Curve
of the Component Damage Level
• i: the i-th point, of the j-th FC-CDL
corresponding to the k-th R
• j: the j-th CDL
• k: the k-th stand-off distance
• MC analysis: Monte Carlo
analysis
• N: number of FC-CDL points, or
number of the Zs
• M: number of the CDLs
• L: number of the stand-off
distances
• Interpolated FC-CDL: lognormal
interpolated Fragility Curve of the
Component Damage Level
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
24
Fragility curves
Computing the fragility curve
Fence barrier
Vehicle bomb
w [kgp]
p [W]
Stand-off distance
r [m]
p [R]
Cladding wall
θi
p [Θi]
(1) R=R0 W=W1 Z=Z1
(2) R=R0 W=W2 Z=Z2
(3) R=R0 W=W3 Z=Z3
……..
(N) R=R0 W=WN Z=ZN
Z
1
2
3
N
P(X>x|Z)
Fragility curve for the j-th CDL and the k-th
stand-off distance (R)
Monte Carlo
Simulation
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
25
0
20
40
60
80
100
2.4 2.6 2.8 3.0 3.2 3.4
Pf(X>x0|Z)
Z
Hazardous Failure j-th CDL
k-th
R
i-th Z
Fragility curves
Results
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
26
Fragility curves
Results
Component damage levels θ [degree] μ [-]
Blowout >10° none
Hazardous Failure ≤10° none
Heavy Damage ≤5° none
Moderate Damage ≤2° none
Superficial Damage none 1
0
20
40
60
80
100
2.4 2.6 2.8 3.0 3.2 3.4
Pf(X>x0|Z)
Z
Hazardous Failure
0
20
40
60
80
100
2.8 3.0 3.2 3.4 3.6 3.8 4.0
Heavy Damage
Pf(X>x0|Z) Z
0
20
40
60
80
100
3.0 3.5 4.0 4.5 5.0
Pf(X>x0|Z)
Z
Moderate Damage
0
20
40
60
80
100
5 6 7 8 9 10 11
Pf(X>x0|Z)
Z
Superficial Damage
CDL
R
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
27
Blast scenario
Blast scenario – section view
Fence barrier
Vehicle bomb
w [kgp]
p [W]
Stand-off distance
r [m]
p [R]
Cladding wall
θi
p [Θi]
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
28
Fragility curves
Results
0
20
40
60
80
100
3.0 3.5 4.0 4.5 5.0
Pf(X>x0|Z)
Z
Moderate Damage
Safe
Unsafe
Example
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
29
Fence barrier
Vehicle bomb
w [kgp]
p [W]
Stand-off distance
r [m]
p [R]
Cladding wall
θi
p [Θi]
Scaled distance
p[Z]
Z
Blast scenario
Blast scenario – section view
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
30
Fragility curves
Failure Probability
0
20
40
60
80
100
2.4 2.6 2.8 3.0 3.2 3.4
Pf(X>x0|Z)
Z
Hazardous Failure
p(Z)[-]
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
31
Fragility curves
Failure Probability
CDL
Mean W=227 kgf COV=0.3 lognormal distribution
R, COV=0.05 lognormal distribution
FC analysis MC analysis Difference Δ%
R = 20 m
SD 100.0 % 100.0 % 0.0 %
MD 96.6 % 97.5 % 0.9 %
HD 55.7 % 55.5 % 0.3 %
HF 13.6 % 12.1 % 11.0 %
R = 25 m
SD 100.0 % 100.0 % 0.0 %
MD 74.6 % 77.3 % 3.5 %
HD 14.2 % 12.6 % 11.2 %
HF 1.02 % 1.02 % 0.0 %
R = 15 m
SD 100.0 % 100.0 % 0.0 %
MD 97.9 % 99.9 % 2.0 %
HD 93.6 % 96.9 % 3.4 %
HF 67.8 % 72.6 % 6.6 %
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Presentation outline
32
• Introduction
• Component damage levels and response
parameters
• Blast scenario and targets
• Blast scenario
• Precast cladding wall panel
• Input data
• Fragility curves
• Calculation procedure
• Results
• Conclusions
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
33
Conclusions
0
20
40
60
80
100
3.0 3.5 4.0 4.5 5.0
Pf(X>x0|Z)
Z
Moderate Damage
Safe
Unsafe
Example
• Fragility curves can be helpful in the design of precast
concrete wall panels, or cladding panels in general.
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
34
Conclusions (2)
• It is important to define a appropriate thresholds for the
probability of failure.
• The probability of failure computed by means of
fragility curve analysis and Monte Carlo analysis
shows a maximum difference of 11 % for the case
study wall panel. The question is, is this acceptable?
• In a future study, it could be useful to implement
fragility surfaces instead of fragility curves.
• Furthermore, it could be useful to account for the
structural deterioration of the wall panel on computing
the fragility curves.
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
Thank you for your attention
35
Pierluigi Olmati, Francesco Petrini, Konstantinos Gkoumas
Sapienza - University of Rome, Dipartimento di Ingegneria Strutturale e Geotecnica
This study is partially supported by StroNGER s.r.l. from the fund “FILAS - POR FESR LAZIO
2007/2013 - Support for the research spin-off”.
Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty
ICOSSAR 2013
11th
International Conference on Structural Safety & Reliability
June 16-20, Columbia University, New York, NY
Pierluigi Olmati
Francesco Petrini
Konstantinos Gkoumas
36
Pierluigi Olmati, Francesco Petrini, Konstantinos Gkoumas
Sapienza - University of Rome, Dipartimento di Ingegneria Strutturale e Geotecnica
Fence barrier
Vehicle bomb
w [kgp]
p [W]
Stand-off distance
r [m]
p [R]
Cladding wall
θi
p [Θi]
0
20
40
60
80
100
3.0 3.5 4.0 4.5 5.0
Pf(X>x0|Z)
Z
Moderate Damage

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ICOSSAR PO et al

  • 1. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Sapienza – University of Rome Pierluigi Olmati, Ph.D. student, P.E. Francesco Petrini, Ph.D., P.E. Konstantinos Gkoumas, Ph.D., P.E. Sapienza - University of Rome Dipartimento di Ingegneria Strutturale e Geotecnica Blast resistance assessment of a reinforced precast concrete wall under uncertainty
  • 2. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Presentation outline 2 • Introduction • Component damage levels and response parameters • Blast scenario and targets • Blast scenario • Precast cladding wall panel • Input data • Fragility curves • Calculation procedure • Results • Conclusions
  • 3. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Presentation outline 3 • Introduction • Component damage levels and response parameters • Blast scenario and targets • Blast scenario • Precast cladding wall panel • Input data • Fragility curves • Calculation procedure • Results • Conclusions
  • 4. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Introduction The case of the Ronan Point apartments building 4 Reference: NISTIR 7396: Best practices for reducing the potential for progressive collapse in buildings. Washington DC: National Institute of Standards and Technology (NIST), 2007. Details: -apartment building, -built between 1966 and 1968, -64 m tall with 22 story, -walls, floors, and staircases were made of precast concrete, -each floor was supported directly by the walls in the lower stories (bearing walls system).
  • 5. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 5 Cause Damage Pr. Collapse Details: -apartment building, -built between 1966 and 1968, -64 m tall with 22 story, -walls, floors, and staircases were made of precast concrete, -each floor was supported directly by the walls in the lower stories (bearing walls system). The event: -May 16, 1968 a gas explosion blew out an outer panel of the 18th floor, -the loss of the bearing wall causes the progressive collapse of the upper floors, -the impact of the upper floors’ debris caused the progressive collapse of the lower floors. Introduction The case of the Ronan Point apartments building
  • 6. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Collapse probability 6 LOAD STRUCTURE RESPONSE Truck bomb 1.8 ton TNT A. P. M. Building Before 19/05/95 A. P. M. Building After 19/05/95 HAZARD COLLAPSE RESISTENCE P[●]: probability P[●|■]: conditional probability H: Hazard LD: Local Damage C: Collapse NISTIR 7396 UFC 4-023-03 References: EXPOSURE VULNERABILITY ROBUSTESS ∑i = P[C]P[LD|Hi]P[Hi] P[C|LD] LOCAL EFFECTCAUSE GLOBAL EFFECT
  • 7. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Presentation outline 7 • Introduction • Component damage levels and response parameters • Blast scenario and targets • Blast scenario • Precast cladding wall panel • Input data • Fragility curves • Calculation procedure • Results • Conclusions
  • 8. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 8 Component damage levels and response parameters Response parameters Φelastic Φplastic Mplasticδ δel -r -rel R = r A L L Ductility ratio Support rotation
  • 9. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 9 Component damage levels θ [degree] μ [-] Blowout >10° none Hazardous Failure ≤10° none Heavy Damage ≤5° none Moderate Damage ≤2° none Superficial Damage none 1 Blowout: component is overwhelmed by the blast load causing debris with significant velocities. Hazardous Failure: component has failed, and debris velocities range from insignificant to very significant. Heavy Damage: component has not failed, but it has significant permanent deflections causing it to be un-repairable. Moderate Damage: component has some permanent deflection. It is generally repairable, if necessary, although replacement may be more economical and aesthetic. Superficial Damage: component has no visible permanent damage. Component damage levels (CDL’s) Source: US Army Corps of Engineers
  • 10. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Presentation outline 10 • Introduction • Component damage levels and response parameters • Blast scenario and targets • Blast scenario • Precast cladding wall panel • Input data • Fragility curves • Calculation procedure • Results • Conclusions
  • 11. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 11 Blast scenario and targets Blast scenario – aerial view Street Level 2 Level 3 Level 1 Target Explosive weight
  • 12. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 12 Blast scenario and targets Blast scenario – section view
  • 13. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 13 Blast scenario and targets Blast scenario – section view: uncertainties Fence barrier Vehicle bomb w [kgp] p [W] Stand-off distance r [m] p [R] Cladding wall θi p [Θi]
  • 14. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 14 Panel dimensions: 3500x1500x150 mm (137x59x6 in.) Panel reinforcement: 12 φ10 mm (0.4 in.) Panel materials: Concrete fcm=35 MPa (5000 psi) Steel B450C (≈GR60) Blast scenario and targets Precast cladding wall panel
  • 15. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 15 Symbol Description Mean COV Distribution fc Concrete strength 28MPa 0.18 Lognormal fy Steel strength 495 MPa 0.12 Lognormal L Panel length 3500 mm 0.001 Lognormal H Panel height 150 mm 0.001 Lognormal b Panel width 1500 mm 0.001 Lognormal c Panel cover 75 mm 0.01 Lognormal W Explosive weight 227 kgf 0.3 Lognormal R Stand-off distance 15 m 20 m 25 m 0.05 Lognormal Blast scenario and targets Input data
  • 16. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Presentation outline 16 • Introduction • Component damage levels and response parameters • Blast scenario and targets • Blast scenario • Precast cladding wall panel • Input data • Fragility curves • Calculation procedure • Results • Conclusions
  • 17. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 17 Fragility curves Failure probability Pf(X>x0|IM) Intensity Measure (IM) p(IM)
  • 18. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 18 Fragility curves Flowchart CDL (j) Z=i MC analysis FC-CDL (i, j, k) FC-CDL (j,k) FC-CDL (k) i=N ? j=M ?i=i+1 j=j+1 YES NO NO YES • CDL: Component Damage Level • R: Stand-off distance • Z: Scaled distance • FC-CDL: numerical Fragility Curves of the Component Damage Level • i: the i-th point, of the j-th FC-CDL corresponding to the k-th R • j: the j-th CDL • k: the k-th stand-off distance • MC analysis: Monte Carlo analysis • N: number of FC-CDL points, or number of the Z • M: number of the CDL • L: number of the stand-off distance • Interpolated FC-CDL: lognormal interpolated Fragility Curves of the Component Damage Level R=k k=L ? YES NO k=k+1 FC-CDL Lognormal Interpolation Interpolated FC-CDL j=1 i=1 k=1 INTENSITY MEASURE • CDL: Component Damage Level • R: Stand-off distance • Z: Scaled distance • FC-CDL: numerical Fragility Curve of the Component Damage Level • i: the i-th point, of the j-th FC-CDL corresponding to the k-th R • j: the j-th CDL • k: the k-th stand-off distance • MC analysis: Monte Carlo analysis • N: number of FC-CDL points, or number of the Zs • M: number of the CDLs • L: number of the stand-off distances • Interpolated FC-CDL: lognormal interpolated Fragility Curve of the Component Damage Level
  • 19. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 19 Fragility curves Intensity measure ta to t - o Pso P - so Po Reflected pressure Incident pressure Prα P - rα Peak pressure Impulse density
  • 20. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 20 Fragility curves Intensity measure Scaled distance Side-on pressure Side-on impulse density Shock duration Shock wave Reflected pressure INTENSITY MEASURE
  • 21. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 21 Fragility curves Intensity measure 1 10 100 1000 100 1000 10000 100000 P[kPa] i [kPa ms] θ=2ƒ θ=5ƒ θ=10ƒ I D P I: impulsive region D: dynamic region P: pressure region
  • 22. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 22 Fragility curves Intensity measure 0 20 40 60 80 100 2.4 2.6 2.8 3.0 3.2 3.4 Pf(X>x0|Z) Z Hazardous Failure
  • 23. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 23 Fragility curves Flowchart CDL (j) Z=i MC analysis FC-CDL (i, j, k) FC-CDL (j,k) FC-CDL (k) i=N ? j=M ? i=i+1 j=j+1 YES NO NO YES • CDL: Component Damage Level • R: Stand-off distance • Z: Scaled distance • FC-CDL: numerical Fragility Curves of the Component Damage Level • i: the i-th point, of the j-th FC-CDL corresponding to the k-th R • j: the j-th CDL • k: the k-th stand-off distance • MC analysis: Monte Carlo analysis • N: number of FC-CDL points, or number of the Z • M: number of the CDL • L: number of the stand-off distance • Interpolated FC-CDL: lognormal interpolated Fragility Curves of the Component Damage Level R=k k=L ? YES NO k=k+1 FC-CDL Lognormal Interpolation Interpolated FC-CDL j=1 i=1 k=1 Fragility curves for n° M CDLs and the k-th stand-off distance (R) Fragility curves for n°M CDLs and n°L stand-off distances (R) Fragility curve for the j-th CDL and the k-th stand-off distance (R) • CDL: Component Damage Level • R: Stand-off distance • Z: Scaled distance • FC-CDL: numerical Fragility Curve of the Component Damage Level • i: the i-th point, of the j-th FC-CDL corresponding to the k-th R • j: the j-th CDL • k: the k-th stand-off distance • MC analysis: Monte Carlo analysis • N: number of FC-CDL points, or number of the Zs • M: number of the CDLs • L: number of the stand-off distances • Interpolated FC-CDL: lognormal interpolated Fragility Curve of the Component Damage Level
  • 24. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 24 Fragility curves Computing the fragility curve Fence barrier Vehicle bomb w [kgp] p [W] Stand-off distance r [m] p [R] Cladding wall θi p [Θi] (1) R=R0 W=W1 Z=Z1 (2) R=R0 W=W2 Z=Z2 (3) R=R0 W=W3 Z=Z3 …….. (N) R=R0 W=WN Z=ZN Z 1 2 3 N P(X>x|Z) Fragility curve for the j-th CDL and the k-th stand-off distance (R) Monte Carlo Simulation
  • 25. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 25 0 20 40 60 80 100 2.4 2.6 2.8 3.0 3.2 3.4 Pf(X>x0|Z) Z Hazardous Failure j-th CDL k-th R i-th Z Fragility curves Results
  • 26. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 26 Fragility curves Results Component damage levels θ [degree] μ [-] Blowout >10° none Hazardous Failure ≤10° none Heavy Damage ≤5° none Moderate Damage ≤2° none Superficial Damage none 1 0 20 40 60 80 100 2.4 2.6 2.8 3.0 3.2 3.4 Pf(X>x0|Z) Z Hazardous Failure 0 20 40 60 80 100 2.8 3.0 3.2 3.4 3.6 3.8 4.0 Heavy Damage Pf(X>x0|Z) Z 0 20 40 60 80 100 3.0 3.5 4.0 4.5 5.0 Pf(X>x0|Z) Z Moderate Damage 0 20 40 60 80 100 5 6 7 8 9 10 11 Pf(X>x0|Z) Z Superficial Damage CDL R
  • 27. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 27 Blast scenario Blast scenario – section view Fence barrier Vehicle bomb w [kgp] p [W] Stand-off distance r [m] p [R] Cladding wall θi p [Θi]
  • 28. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 28 Fragility curves Results 0 20 40 60 80 100 3.0 3.5 4.0 4.5 5.0 Pf(X>x0|Z) Z Moderate Damage Safe Unsafe Example
  • 29. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 29 Fence barrier Vehicle bomb w [kgp] p [W] Stand-off distance r [m] p [R] Cladding wall θi p [Θi] Scaled distance p[Z] Z Blast scenario Blast scenario – section view
  • 30. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 30 Fragility curves Failure Probability 0 20 40 60 80 100 2.4 2.6 2.8 3.0 3.2 3.4 Pf(X>x0|Z) Z Hazardous Failure p(Z)[-]
  • 31. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 31 Fragility curves Failure Probability CDL Mean W=227 kgf COV=0.3 lognormal distribution R, COV=0.05 lognormal distribution FC analysis MC analysis Difference Δ% R = 20 m SD 100.0 % 100.0 % 0.0 % MD 96.6 % 97.5 % 0.9 % HD 55.7 % 55.5 % 0.3 % HF 13.6 % 12.1 % 11.0 % R = 25 m SD 100.0 % 100.0 % 0.0 % MD 74.6 % 77.3 % 3.5 % HD 14.2 % 12.6 % 11.2 % HF 1.02 % 1.02 % 0.0 % R = 15 m SD 100.0 % 100.0 % 0.0 % MD 97.9 % 99.9 % 2.0 % HD 93.6 % 96.9 % 3.4 % HF 67.8 % 72.6 % 6.6 %
  • 32. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Presentation outline 32 • Introduction • Component damage levels and response parameters • Blast scenario and targets • Blast scenario • Precast cladding wall panel • Input data • Fragility curves • Calculation procedure • Results • Conclusions
  • 33. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 33 Conclusions 0 20 40 60 80 100 3.0 3.5 4.0 4.5 5.0 Pf(X>x0|Z) Z Moderate Damage Safe Unsafe Example • Fragility curves can be helpful in the design of precast concrete wall panels, or cladding panels in general.
  • 34. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 34 Conclusions (2) • It is important to define a appropriate thresholds for the probability of failure. • The probability of failure computed by means of fragility curve analysis and Monte Carlo analysis shows a maximum difference of 11 % for the case study wall panel. The question is, is this acceptable? • In a future study, it could be useful to implement fragility surfaces instead of fragility curves. • Furthermore, it could be useful to account for the structural deterioration of the wall panel on computing the fragility curves.
  • 35. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas Thank you for your attention 35 Pierluigi Olmati, Francesco Petrini, Konstantinos Gkoumas Sapienza - University of Rome, Dipartimento di Ingegneria Strutturale e Geotecnica This study is partially supported by StroNGER s.r.l. from the fund “FILAS - POR FESR LAZIO 2007/2013 - Support for the research spin-off”.
  • 36. Blastresistanceassessmentofareinforcedprecastconcretewallunderuncertainty ICOSSAR 2013 11th International Conference on Structural Safety & Reliability June 16-20, Columbia University, New York, NY Pierluigi Olmati Francesco Petrini Konstantinos Gkoumas 36 Pierluigi Olmati, Francesco Petrini, Konstantinos Gkoumas Sapienza - University of Rome, Dipartimento di Ingegneria Strutturale e Geotecnica Fence barrier Vehicle bomb w [kgp] p [W] Stand-off distance r [m] p [R] Cladding wall θi p [Θi] 0 20 40 60 80 100 3.0 3.5 4.0 4.5 5.0 Pf(X>x0|Z) Z Moderate Damage