Abstract

The direct physical loss from a tornado is one possible factor in considering resilience goals for a community. Estimating such loss has historically been achieved either through analysis of empirical data from historical events meant to then match future hypothetical events or through a cost analysis based on a building's damage state. These approaches provide a solid baseline for estimating loss from wind events; however, gathering data from historical events may assume all locations are the same, while analyses based solely on the building damage state may not include a building's contents. This study builds on work previously established in determining loss from building damage state fragilities, by including a loss to the building's interior (including contents) based on Federal Emergency Management Agency's (FEMA's) HAZUS equations. The approach laid out in this paper is then validated, showing what is deemed an acceptable level of accuracy, using the May 22, 2011 Joplin tornado that devastated the local community. Once validated, the same tornado path is relocated in different directions, ultimately crossing most of city of Joplin in four additional hypothetical scenarios. The results of both hindcasting the 2011 Joplin tornado and its hypothetical track variations show commercial (nonresidential) type buildings as key in contributing to the direct physical loss of a wind event. Ultimately, this provides decision makers with a point of consideration when evaluating their community's resilience goals.

References

References
1.
Onstot
,
L. I.
,
2016
, “
Joplin, Missouri hit by EF-5 Tornado on May 22, 2011
,” City of Joplin, accessed Feb. 25, 2020, http://www.joplinmo.org/DocumentCenter/View/1985%5Cr
2.
Kuligowski
,
E. D.
, and
Jorgensen
,
D. P.
,
2014
, “
Technical Investigation of the May 22, 2011 Tornado in Joplin, Missouri
,” National Institute of Standards and Technology, Gaithersburg, MD,
Final Report
.https://doi.org/10.6028/NIST.NCSTAR.3
3.
Curtis
,
A.
, and
Fagan
,
W. F.
,
2013
, “
Capturing Damage Assessment With a Spatial Video: An Example of a Building and Street-Scale Analysis of Tornado-Related Mortality in Joplin, Missouri, 2011
,”
Ann. Assoc. Am. Geogr.
,
103
(
6
), pp.
1522
1538
.10.1080/00045608.2013.784098
4.
Paul
,
B. K.
, and
Stimers
,
M.
,
2014
, “
Spatial Analyses of the 2011 Joplin Tornado Mortality: Deaths by Interpolated Damage Zones and Location of Victims
,”
Weather Clim. Soc.
,
6
(
2
), pp.
161
174
.10.1175/WCAS-D-13-00022.1
5.
Smith
,
D. J.
, and
Sutter
,
D.
,
2013
, “
Response and Recovery Lessons Applied and Lessons Learned
,”
Independent Rev.
,
18
(
5
), pp.
165
188
.
6.
Gregg
,
C.
, and
Lofton
,
L.
,
2011
, “
The Response to the 2011 Joplin, Missouri, Tornado Lessons Learned Study
,” accessed Feb. 26, 2020, https://kyem.ky.gov/Who%20We%20Are/Documents/Joplin%20Tornado%20Response,%20Lessons% 20Learned%20Report,%20FEMA,%20December%2020,%202011.pdf
7.
Attary
,
N.
,
van de Lindt
,
J. W.
,
Mahmoud
,
H. N.
,
Smith
,
S.
,
Navarro
,
C. M.
,
Kim
,
Y. W.
, and
Lee
,
J. S.
,
2018
, “
Hindcasting Community-Level Building Damage for the 2011 Joplin EF5 Tornado
,”
Nat. Hazards
, 93, pp.
1295
1316
.10.1007/s11069-018-3353-5
8.
Memari
,
M.
,
Attary
,
N.
,
Masoomi
,
H.
,
Mahmoud
,
H.
,
van de Lindt
,
J. W.
,
Pilkington
,
S. F.
, and
Ameri
,
M. R.
,
2018
, “
Minimal Building Fragility Portfolio for Damage Assessment of Communities Subjected to Tornadoes
,”
J. Struct. Eng.
,
144
(
7
), p. 04018072.10.1061/(ASCE)ST.1943-541X.0002047
9.
Gardoni
,
P.
,
van de Lindt
,
J. W.
,
Ellingwood
,
B. R.
,
McAllister
,
T.
,
Lee
,
J. S.
,
Cutler
,
H.
, and
Cox
,
D.
,
2018
, “
The Interdependent Networked Community Resilience Modeling Environment
,”
Proceedings of the 16th European Conference on Earthquake Engineering
, Thessaloniki, Greece, June
18
21
.
10.
Unanwa
,
C. O.
,
McDonald
,
J. R.
,
Mehta
,
K. C.
, and
Smith
,
D. A.
,
2000
, “
The Development of Wind Damage Bands for Buildings
,”
J. Wind Eng. Ind. Aerodyn.
,
84
(
1
), pp.
119
149
.10.1016/S0167-6105(99)00047-1
11.
Rosowsky
,
D. V.
, and
Ellingwood
,
B. R.
,
2002
, “
Performance-Based Engineering of Wood Frame Housing: Fragility Analysis Methodology
,”
J. Struct. Eng.
,
128
(
1
), pp.
32
38
.10.1061/(ASCE)0733-9445(2002)128:1(32)
12.
Ellingwood
,
B. R.
,
Rosowsky
,
D. V.
,
Li
,
Y.
, and
Kim
,
J.
,
2004
, “
Fragility Assessment of Light-Frame Wood Construction Subjected to Wind and Earthquake Hazards
,”
J. Struct. Eng.
,
130
(
12
), pp.
1921
1930
.10.1061/(ASCE)0733-9445(2004)130:12(1921)
13.
Hwang
,
B. H. H. M.
, and
Jaw
,
J.
,
2007
, “
Probablistic Damage Analysis of Structures
,”
J. Struct. Eng.
,
116
(
7
), pp.
1992
2007
.10.1061/(ASCE)0733-9445(1990)116:7(1992)
14.
Koliou
,
M.
,
Filiatrault
,
A.
,
Kelly
,
D. J.
, and
Lawson
,
J.
,
2014
, “
Numerical Framework for Seismic Collapse Assessment of Rigid Wallflexible Diaphragm Structures
,”
NCEE 2014—10th U.S. National Conference on Earthquake Engineering: Frontiers of Earthquake Engineering
, Anchorage, AK, July
21
25
.https://www.researchgate.net/publication/281409845_Numerical_framework_for_seismic_collapse_assessment_of_rigid_wall-flexible_diaphragm_structures
15.
Amini
,
M. O.
, and
Van De Lindt
,
J. W.
,
2014
, “
Quantitative Insight Into Rational Tornado Design Wind Speeds for Residential Wood-Frame Structures Using Fragility Approach
,”
J. Struct. Eng.
,
140
(
7
), pp.
1
15
.10.1061/(ASCE)ST.1943-541X.0000914
16.
Masoomi
,
H.
, and
van de Lindt
,
J. W.
,
2016
, “
Tornado Fragility and Risk Assessment of an Archetype Masonry School Building
,”
Eng. Struct.
,
128
, pp.
26
43
.10.1016/j.engstruct.2016.09.030
17.
Koliou
,
M.
,
Masoomi
,
H.
, and
van de Lindt
,
J. W.
,
2017
, “
Performance Assessment of Tilt-Up Big-Box Buildings Subjected to Extreme Hazards: Tornadoes and Earthquakes
,”
J. Perform Constr. Facil.
,
31
(
5
), p. 04017060.10.1061/(ASCE)CF.1943-5509.0001059
18.
Masoomi
,
H.
,
Ameri
,
M. R.
, and
Lindt
,
J. W.
,
2018
, “
Wind Performance Enhancement Strategies for Residential Wood-Frame Buildings
,”
J. Perform. Constr. Facil.
,
32
(
3
), pp.
1
13
.
19.
Koliou
,
M.
, and
van de Lindt
,
J. W.
,
2019
, “
Development of Building Restoration Functions for Use in Community Recovery Planning to Tornadoes
,”
Nat. Hazards Rev.
, 21(2), p.
04020004
.10.1061/(ASCE)NH.1527-6996.0000361
20.
De Silva
,
D. G.
,
Kruse
,
J. B.
, and
Wang
,
Y.
,
2006
, “
Catastrophe-Induced Destruction and Reconstruction
,”
Natural Hazards Rev.
,
7
(
1
), pp.
19
25
.10.1061/(ASCE)1527-6988(2006)7:1(19)
21.
Ewing
,
B. T.
,
Kruse
,
J. B.
, and
Wang
,
Y.
,
2007
, “
Local Housing Price Index Analysis in Wind-Disaster-Prone Areas
,”
Natural Hazards
,
40
(
2
), pp.
463
483
.10.1007/s11069-006-9005-1
22.
Okuyama
,
Y.
, and
Chang
,
S. E.
,
2004
,
Modeling Spatial and Economic Impacts of Disasters
,
Y.
Okuyama
and
S. E.
Chang
, eds., Springer, Berlin.
23.
Federal Emergency Management Agency,
2009
, “
Hazus-MH 2.1: Technical Manual
,”
Multi-Hazard Loss Estimation Methodology: Hurricane Model
,
Federal Emergency Management Agency
,
Washington, D.C
.
24.
Federal Emergency Management Agency
,
1992
, “
A User's Manual
,”
A Benefit-Cost Model for the Seismic Rehabilitation of Buildings
, Vol.
1
,
VSP Associates
,
Sacramento, CA
.
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