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Development of degradation rates for various bridge types in the State of Ohio
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Development of degradation rates for various bridge types in the State of Ohio
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Development of degradation rates for various bridge types in the State of Ohio
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Description
Title
Development
of
degradation
rates
for
various
bridge
types
in the
State
of
Ohio
Subject
Degradation
Rate
;
Markov
Model
;
Operational
Performance
Index
;
Bridge
Management
System
;
HE376.O3
D48
2011x
;
Bridges--Ohio--Evaluation.
;
Bridges--Ohio--Maintenance
and
repair--Planning.
;
OTP
1.23/7:2011-09
Description
At
head
of
cover
title
:
Final
report.
; "A
Report
of the
University
of
Cincinnati
Infrastructure
Institute
,
College
of
Engineering
and
Applied
Sciences..
. to
Sponsors
,
U.S
.
Department
of
Transportation
,
Federal
Highway
Administration
and
Ohio
Department
of
Transportation.
"; "
Draft
final
report
submitted
March
1
,
2011"--Cover.
; "
FHWA/OH-2011/9--Technical
rept
.
documentation
p.
;
Includes
bibliographical
references
(p
.
73).
; "For the
Ohio
Dept
. of
Transportation
,
Office
of
Research
and
Development
,
State
Job
Number
134258"--Cover.
;
Harvested
from the
web
on
7/7/11
Publisher
Ohio
Dept
. of
Transportation
;
Available
through
the
National
Technical
Information
Service
Contributors
Nair
,
Dinek.
;
University
of
Cincinnati
Infrastructure
Institute.
;
United
States
.
Federal
Highway
Administration.
;
Ohio
.
Dept
. of
Transportation
.
Office
of
Research
and
Development
.
Type
Text
Language
eng
Relation
Also
available
online.
;
http://www.dot.state.oh.us/Divisions/TransSysDev/Research/reportsandplans/Reports/2011/Structures/134258-FR.pdf;
http://worldcat.org/oclc/739668228/viewonline
Description-Abstract
The
Ohio
Department
of
Transportation
(ODOT)
maintains
a
Bridge
Management
System
(BMS)
which
is
responsible
for
collecting
and
maintaining
historical
and
longitudinal
data
by
year
for
all
the
bridges
in
Ohio
. The
BMS
aids
ODOT
in
tracking
,
design
,
planning
maintenance
requests
on
bridges
and
funds
allocation
for
maintenance
. This
project
applied
statistical
analysis
and
modeling
of the
BMS
data
to
provide
insights
to the
rate
of
degradation
and
maintenance
requirement
of
bridges
under
different
environmental
,
location
and
other
factors
.
Age
resetting
algorithms
and
Markov
models
were
utilized
in
order
to
develop
Operational
Performance
Indices
(OPIs)
forecasting
for
General
Appraisal
(GA)
,
Wearing
Surface
(WS)
,
Floor
Condition
(FC)
, and
Protective
Coating
Systems
(PCS)
. The
results
were
validated
against
the
actual
values
and the
results
were
very
positive
. An
understanding
of the
behavior
of the
existing
bridges
under
the
effect
of
different
conditions
and their
future
performance
is
essential
for the
BMS
.
Reliable
bridge
prediction
and
performance
models
facilitate
inspection
scheduling
,
cost
analysis
and
budget
optimization
.
Date-Issued
2011]
Format-Extent
[v]
,
73
p
. :
col
.
ill
. ;
28
cm
.
Format-Medium
Government
Publication
OCLC number
739668228
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