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Multiway Analysis of Bridge Structural Types in the National Bridge Inventory (NBI)
A Tensor Decomposition Approach
By Offei A. Adarkwa
Nii Attoh-Okine (Ph.D) (IEEE Big Data Conference -10/27/2014)
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Presentation Outline
• Introduction • Basic Tensor Concepts • Analysis & Results • Conclusion & Recommendations
2
INTRODUCTION
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National Bridge Inventory (NBI)
• Largest database of bridge data in the world1
• Information on >600,000 bridges • Owned and operated by the Federal Highway Administration
(FHWA) • Status of a bridge:
– not deficient; – structurally deficient; and – functionally obsolete
• Basis for determining eligibility for Federal Bridge Funding
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Structurally Deficient Bridges
• Structurally deficient bridges have load carrying members in poor condition or significantly below design standards
• Repair, rehabilitation or replacement required • In the US, 1 in 9 bridges is structurally deficient • Laid end to end, structurally deficient bridges will span from DC
to Denver2
5 * http://www.transportationissuesdaily.com/wp-content/uploads/2011/10/Sherman-Minton-Bridge.jpg Sherman-Minton Bridge*
• Effective use of bridge rehabilitation and replacement funding
• Need to understand deterioration patterns of bridges under varying loading and environmental conditions
• NBI can serve as a major resource
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Focus of Research
• Analysis of deterioration trends of specific bridge deck structural types in the US
• Tensor Decomposition
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BASIC TENSOR CONCEPTS
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What are Tensors?
• Generalizations of scalars, vectors and matrices
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Samples
variables
Time
Samples
variables
Weather Samples
variables
Time
Why Multiway Data Analysis?
• Multiway data is everywhere
• Reveal hidden patterns in data
• Capture variation in dataset while preserving multidimensional nature of data
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11
x231 Mode-2
Mode-1
Mode-3
X
Mode-1 Fiber x:21
Mode-2 Fiber x1:2
Mode-3 Fiber X11:
Horizontal slice X1::
Lateral slice X:2:
Frontal slice X::3
Typical 3D dataset Subarrays
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j
i
k
j
i
k
j
i
k
i j j j j
k
j i i i i
k
k i i i i
j
Matricization (Unfolding)
𝜒 ∈ ℝ𝑖×𝑗𝑗
𝜒 ∈ ℝ𝑗×𝑖𝑗
𝜒 ∈ ℝ𝑗×𝑖𝑗
𝓐 + 𝓑 = 𝓒, where 𝓒𝑖𝑗𝑗 = 𝑎𝑖𝑗𝑗 + 𝑏𝑖𝑗𝑗
𝓧 = 𝒂 𝜊 𝒃 𝜊 𝒄 s.t. 𝑥𝑖𝑗𝑗 = 𝑎𝑖𝑏𝑗𝑐𝑗
𝑷𝐼×𝐽 ⨀ 𝑸𝐾×𝐽 = 𝑹𝐼𝐾×𝐽
𝑷𝐼×𝐽 ⨂𝑸𝐾×𝐿 = 𝑹𝐼𝐾×𝐽𝐿
Summation:
Outer Product:
Khatri-Rao Product:
Kronecker Product:
Hadamard Product: 𝑷𝐼×𝐽 ⊛𝑸𝐼×𝐽 = 𝑹𝐼×𝐽
Tensor Decomposition
• Reducing data to lower-order forms for analysis (classification, prediction, clustering)
• 2 main approaches – Canonical decomposition/Parallel Factors (CANDECOMP/PARAFAC; CP) – Tucker decomposition
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The CP Decomposition • Canonical Decomposition/ Parallel Factors
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ai, bi and ci - factor loadings R- number of components Rank of a tensor=min (R) required to approximate X
Choosing the appropriate CP model
• Alternating Least Squares Approach (ALS)
Where is the PARAFAC model
• % Variance Explained
• Core Consistency Diagnostic (CORCONDIAG) – High CORCONDIAG → stable model – Low CORCONDIAG → invalid and/or problematic model
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ANALYSIS & RESULTS
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Structural Deterioration Rate
𝑆𝑆𝑖,𝑗,𝑗 = 𝑛𝑖,𝑗,𝑗
∑ 𝑁𝑖,𝑗,𝑗𝑗
Where: 𝑆𝑆𝑖,𝑗,𝑗=structural deterioration rate in state i of structure type j in year k 𝑛𝑖,𝑗,𝑗=number of structurally deficient bridges in state i of structure type j in year k 𝑁𝑖,𝑗,𝑗=number of bridges in state i of structure type j in year k 17
Dataset • NBI database (1992-2013) • Structurally deficient bridge design types by state
18 Multidimensional Dataset for analysis
State
Deck Type
Year
Selected Bridge Design Types
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Stringer/Multibeam6 Girder and Floorbeam4 Slab5
Arch Deck7 Tee Beam8 Box Beam9
3D visualization
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0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
0,9
ALAKAZARCACOCTDEDCFLGAHIIDILINIAKSKYLAMEMDMAMIMNMSMOMTNENVNHNJNMNYNCNDOHOKORPARISCSDTNTXUTVTVAWAWVWIWYPR
Girder & Floorbeam system
Slab
Stringer/Multibeam or Girder
Arch Deck
Tee Beam
Box Beam or Girders(Multiple)
Exploration of NBI structure type data
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0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Slab Girder &Floorbeam
Stringer/Multibeamor girder
Tee Beam
BoxBeamor girders
Arch-Deck0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
slab stringer/multibm or girder girder & flbm Tee Bm Box Beam Arch Deck
Box plot of mean SD rates over 22 years SD rate trends for structural types
Decomposition plots
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• 2 component PARAFAC model was fitted to the data • Variance explained= 90.15%
-1 0 1 2 3 4 5 6 7-3
-2
-1
0
1
2
3
4
5
AL
AKAZ
ARCA
CO
CT
DE
DCFL
GAHI
ID
IL
IN
IAKS
KY LA
ME
MD
MA
MI
MN
MS
MOMT
NE
NV
NH
NJNM NYNC
ND
OH
OK
OR PA
RI
SC
SD
TN
TX
UT
VT
VA
WAWV
WI
WY
PR
Component 1
Com
pone
nt 2
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.80.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
slab
multibm or girder
gird & floorbm
tee bmbox bm
arch deck
Component 1
Com
pone
nt 2
0.17 0.18 0.19 0.2 0.21 0.22 0.23 0.24 0.250.19
0.195
0.2
0.205
0.21
0.215
0.22
0.225
0.23
0.235
92
93
94
9596
97
98
990001
0203
04
050607
08
09
10
11
12
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Loading plot for States Loading plot for Structure types Loading plot for years
Conclusion & Recommendations
• Demonstrates tensor decomposition as a knowledge discovery tool that has applications in bridge industry
• Detailed analysis which incorporates other deterioration factors such as age, ADT, and geographical location.
• Prediction
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References
(1) Wu N., Chase S. An Exploratory Data Analysis of National Bridge Inventory. Mid-Atlantic Universities Transportation Center (MAUTC). UVA-2009-03. May 2010
(2) Davis S.L., Goldberg D. The Fix We’re in For: The State of Our Nation’s Bridges 2013. Transportation for America. June 2013
(3) Steel Girder & Floorbeam. http://www.ncdot.gov/_graphics/site_graphics/projects_ncbridges_hb_t_steelgirder01.jpg. Accessed:10/21/2014
(4) Slab bridges. http://www.ncdot.gov/_graphics/site_graphics/projects_ncbridges_hb_t_conslab01.jpg. Accessed:10/21/2014
(5) Steel stringer or multibeam. http://www.ncdot.gov/projects/ncbridges/historic/types/?p=13#types. Accessed:10/21/2014
(6) Arch Deck. http://www.asce.org/CEMagazine/Article.aspx?id=25769811288#.VEbR8PldWL0. Accessed:10/21/2014
(7) Tee Beam. http://www.ncdot.gov/_graphics/site_graphics/projects_ncbridges_hb_t_teebeam01.jpg. Accessed:10/21/2014
(8) Box Beam bridge. https://www.michigan.gov/documents/MDOT_RR-102_143535_7.pdf. Accessed:10/21/2014
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