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Topic 1
Title:
Development of a Model to Assess Costs of Opening a New or
Closing an Existing Outpost or County Garage
State Job Number: 14637
Final Report,
September 1998
(8,183 KB)
Executive Summary,
(75 KB)
With
the changes in urban development patterns and technological
advancements, many times, it is necessary to open a new or close
an existing outpost or a garage to maintain highway network in
an optimum fiscal way. However, the decision to open or to
eliminate facilities creates severe monetary and personnel
implications and needs proper consideration of all cost
elements.
Topic 2
Title: Evaluation of ODOT Roadway/Weather Sensor Systems for Snow & Ice Removal Operations
State Job Number: 14758
Final Report
Part I, June 2003
(2,614 KB)
Executive
Summary Part I,
(411KB)
Final Report
Part II, May 2003
(3,151 KB)
Executive
Summary II,
(560 KB)
Appendix
Part II,
(6,928 KB)
Final Report
Part III, September 2003
(3,410 KB)
Final Report
Part IV,
November 2006
(7,420 KB)
Executive
Summary Part IV,
(66 KB)
Final Report Part V,
October 2006
(26,847 KB)
Executive
Summary Part V,
(36 KB)
Appendices Part V,
(1,867KB)
The Ohio Department
of Transportation (ODOT) has initiated pretreatment as an
integral part of a winter management strategy. Currently forty
gallons per lane mile of 23% salt brine (NaCl) by weight is
applied at a minimum frequency of two times per week when
conditions warrant. In order for ODOT to develop the most
effective plan for pretreatment, an in-situ study to provide
data on decay of brine on trafficked pavement was needed.
Objectives included a survey of other state DOT's pretreatment
protocols, laboratory studies to discern brine concentrations
that precluded ice formation, brine decay with traffic and time
on several pavements, and correlation of laboratory and field
data. Ten of the 28 state DOTs responding to the survey
regarding pretreatment protocol applied NaCl two to 24 hours
prior to a storm; two states used surface type, traffic volume,
and air temperatures for decision making. The survey reinforced
the need of laboratory and field studies. In the laboratory,
release temperatures of the ice/surface bond at various brine
concentrations were obtained utilizing conductivity and physical
observation techniques. Laboratory tests with the field brine
measurement instrumentation (SOBO-20 by Boschung Megatronic AG)
provided correction factors for the field data on AC and PCC
pavements. Sodium chloride brine was applied and measured in-situ
in mass per area at five field sites (ATH-50 PCC, ATH-50 AC,
DEL-23 PCC, DEL-23 AC, and ATH-33 AC) encompassing at least four
sections at each site. Initial losses and decay due to
time/traffic were obtained. Of the five test sites, AC (micro
seal), AC (NOVA chip), and a transversely grooved PCC pavement
provided statistically valid data to develop residual decay
equations as a function of time/traffic. Field decay of brine
was incorporated into laboratory brine/ice/ specimen bonding
temperature findings to determine the effective ice prevention
temperatures as a function of time/traffic for AC and PCC at
standard application rates.
Topic 3
Title:
Effectiveness of RWIS Bridge Temperature Simulators
State Job Number: 134216
Final Report, May 2007
(12,027 KB)
Executive Summary,
(56 KB)
Appendices,
(8,735 KB)
Bridge deck simulators (BDSs), 6 in (15 cm)
concrete cubes with an embedded temperature probe, are intended
as a cost-effective substitute for RWIS pavement sensors to
represent conditions likely on bridge decks in an area near an
RWIS station. In this study, the effectiveness of the BDSs to
predict the temperature on nearby bridge decks was evaluated.
Nine sites were selected by ODOT across the state of Ohio (six
in northeastern region and three in southwestern region) which
were instrumented with BDSs and Nu Metrics pavement sensors on
the bridge deck and (with one exception) on the road surface off
the bridge. The use of BDSs appears to be unique to Ohio. A
survey in the state of Ohio indicated little use was being made
of BDS information. RWIS temperature data collected at five
minute intervals during winter season 2004-2005 were analyzed
and the unusable data were weeded out by removing redundant
entries, blank or incomplete entries, extreme temperature
readings, and entries where sensor data were not updated.
Correlation analysis was performed on the “cleaned” data from
the nine sites for the air and BDS temperatures versus bridge
deck and road temperatures, and also for air versus BDS
temperatures. Separate correlations were made with all-day data
and with nighttime data free of solar radiation effects. For
both all-day and nighttime data, the BDS was found to better
correlate with bridge deck and road temperatures than was the
air temperature. The nighttime data were then further analyzed
to determine 90%, 95%, 99% prediction limits for the prediction
of bridge deck and road temperatures based on the BDS and air
temperature values. Again, the prediction limits for bridge and
road temperatures using the BDS were generally tighter than when
using air temperature. Finite element analyses (FEA) were
performed for the nine sites using ALGOR V18 software to
investigate the temperature behavior of the bridge deck and the
BDS for the air temperature profiles reflecting extreme positive
and negative temperature gradients recorded at each site. The
FEA modeling provided information about how the BDS and the
bridge deck temperature change as a function of the air
temperature and time. Larger concrete cube sizes, up to 24 in
(61 cm) on a side, were investigated with FEA in an exploratory
manner. The 24 in (61 cm) cube almost exactly matched the
simulated bridge deck temperature profiles under a variety of
air temperature loads. The FEA temperature profiles showed that
the existing BDS does not always closely represent the true
temperature behavior of the bridge deck, but that a concrete
cube 4 times larger on a side would compare much better. Yearly
training of maintenance personnel in the use of the BDS and RWIS
is recommended.
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