Presentation by: Ipek Bensu Manav, Research Assistant - MIT Concrete Sustainability Hub

1. A new approach to building
a neighborhood scale
resilience assessment
Ipek Bensu Manav
Franz Ulm, Randy Kirchain, Jeremy Gregory
CSHub Team
National Disaster Resilience Conference
November 8, 2018

2. New York Times
Hurricane Michael aftermath
Mexico Beach
Building v. Neighborhood Scale

3. Building v. Neighborhood Scale
Question
Is the whole a sum of its
parts?
New York Times
Hurricane Michael aftermath
Mexico Beach

4. Neighborhood Hurricane Resilience Assessment
Determine
prevalent wind
loads

5. Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Neighborhood Hurricane Resilience Assessment

6. Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Neighborhood Hurricane Resilience Assessment

7. Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
Neighborhood Hurricane Resilience Assessment

8. Research Overview
Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1

9. Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Research Overview

10. Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Research Overview

11. Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Environmental,
economic and
social aspects
4
Research Overview

12. Research Overview
Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Environmental,
economic and
social aspects
4

13. City texture adjusted wind loads
Problem
City texture affects wind loads.
Wind loads could exceed design codes.
Google Maps
Ordered texture
New York
Google Maps
Disordered texture
Boston
1

14. City texture adjusted wind loads
GIS data
Mexico Beach
City texture model CFD simulation
Hurricane Michael
1

15. Destroyed
Severely damaged
New York Times
Hurricane Michael aftermath
Mexico Beach
City texture adjusted wind loads
Estimation
>80% exceeding
High
Medium
Low
Probability of exceeding
design codes
Observation
54% destroyed
23% severely damaged
1

16. Research Overview
Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Environmental,
economic and
social aspects
4

17. Rapid damage assessment for specific buildings
Problem
Under wind loads, buildings exhibit inelastic behavior.
Inelastic behavior is difficult to model.
12
Molecular Dynamics
approach
 Inelastic behavior
 Case-to-case analysis
 Progressive collapse
 Separate elements

18. Rapid damage assessment for specific buildings
Molecular dynamics model
Service building
Non-structural
elements
Structural
elements
Columns
Beams
2

19. Rapid damage assessment for specific buildings
Molecular dynamics model
Service building
Non-structural
elements
Structural
elements
Fragility curve
2

20. Rapid damage assessment for specific buildings
Molecular dynamics model
Service building
Fragility curve
Non-structural
elements
Structural
elements
2
Category 4

21. Research Overview
Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Environmental,
economic and
social aspects
4

22. Statistical representation of neighborhood
23Problem
Assessing the resilience of each building or each
neighborhood individually is time intensive.
New York Times
Every building in the US

23. GIS data
Mexico Beach
City texture model
Statistical representation of neighborhood
3City texture from GIS data
Footprint, location, orientation

24. Statistical representation of neighborhood
Cluster 1: Office building Cluster 2: Education
building
Cluster 3: Service building
Cluster 4: Warehouse
building
Cluster 5: Service building
3Building clusters from building stock data
Use, # of floors, # of square foot

25. Statistical representation of neighborhood
Distribution of building clusters 3
Google Maps
Miami
R R R R R R R R R
R R R R R R R R R
R R R R R R
C C
R
RR
R
R
R
R
R R R
R
R
R
C

26. Research Overview
Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Environmental,
economic and
social aspects
4

27. Cost estimation
Molecular dynamics model
Service building
Fragility curve
Non-structural
elements
Category 4
34
Future trends
Future trends
Structural
elements

28. 4
Google Maps
Miami
Cost estimation

29. Google Maps
Miami
Cost estimation
4

30. Google Maps
Miami
Cost estimation
4

31. Google Maps
Miami
Cost estimation
4

32. Research Overview
Determine
prevalent wind
loads
Derive how
different kinds of
buildings behave
under different
loads
Define what
kinds of
buildings present
Estimate costs
for neighborhood
scale
City texture
adjusted wind
loads
1
Rapid damage
assessment for
specific kinds of
buildings
2
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Environmental,
economic and
social aspects
4

33. Research Team
City texture
adjusted wind
loads
1
Jake Sobstyl
jsobstyl@mit.edu
Tina Vartziotis
Former visiting
student
tinavart@mit.edu
Rapid damage
assessment for
specific kinds of
buildings
2
Kostas
Keremidis
keremidi@mit.edu
Statistical
representation of
kinds of
buildings in
neighborhoods
3
Mehdi Noori
Former post-doc
noori@mit.edu
Bensu Manav
bensu@mit.edu
Environmental,
economic and
social aspects
4
Bensu Manav
bensu@mit.edu