2014 Oklahoma Transportation Research Day Poster Preparation Instructions

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2014 Oklahoma Transportation Research Day Poster Preparation Instructions

2014 OKLAHOMA TRANSPORTATION RESEARCH DAY

The event will be held at the OSU-OKC Conference Center, 900 N. Portland Ave, Oklahoma City, OK. 73107, Tuesday, October 21, 2014. Attendees from academia, government service, and the private sector are anticipated. The event will consist of keynote speakers, invited presentations, and student transportation project posters. Registrants have the opportunity to receive up to eight (8) Professional Development Hours (PDH) while participating in this event. Registration is required:

http://www.eventbrite.com/e/oklahoma-transportation-research-day-tickets-12409397843?aff=rss

Table of Contents

2014 OKLAHOMA TRANSPORTATION RESEARCH DAY ... 1

Poster Instructions ... 2

Poster Submission ... 2

Poster Design ... 2

Poster Content ... 3

2014 Poster Judging Checklist ... 5

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Poster Instructions

Thank you for your interest in participating in the 2014 Oklahoma Transportation Research Day sponsored by the Oklahoma Department of Transportation and the Southern Plains

Transportation Center. All students are invited to showcase their research presentations and to compete for one of three cash prizes. Winners will be chosen by a panel of independent judges who will select posters based on overall ranking/votes.

To be eligible, the presenter must be a current student or have graduated within the last year. Posters are welcome describing work accomplished at any university as well as at government or at a private sector facility.

Poster Submission

The SPTC will prepare a set of posters on letter sized paper using the landscape orientation for the judges. This book of posters is given to the judges several days prior to the event. To be included in the judging and listed in the program we must have your poster file no later than 5:00 p.m., October 14, 2014 in Acrobat pdf format. Poster files not received by the deadline will not be entered into the competition.

Send the poster file as an e-mail attachment to Sonya Brindle, sbrindle@ou.edu with a copy to aphagen@ou.edu . Name the Acrobat file with the presenting author last name_first name_university or college acronym_2014; (e.g., Jones_Sarah_OSU_2014.pdf). It would be unusual for a student to be presenting more than one poster; however, when a student is the presenter on more than one poster, please append the first name, (e.g. for three posters the file names would be Sarah-1, Sarah-2, Sarah-3). Submit one poster per e-mail and use the file name in the “Subject:” line of the e-mail, (e.g. Jones_Sarah_OSU_2014.pdf).

Poster Design

Create a PowerPoint slide with a plain background for your poster. Do not use a photo or a busy background since the audience will be distracted from your message. Sample posters are at the end of this document.

Within PowerPoint (Word 2010) go to (1) Design/Page Setup and (2) select Slide sized for: Custom, (3) enter a width (Standard is 40”) and (4) enter a height (30”). Step (5) set the

orientation for a landscape slide. You will be printing your poster on a single sheet for the

meeting. The SPTC does not print full size posters.

Unless your transportation mode to the meeting does not allow, often authors bring their poster mounted to a backer board ready to place on an easel. If you do not mount your poster to backer board the SPTC will provide 30” x 40” backer board to which your poster may be clipped. This board may be used horizontally or vertically; however, horizontal oriented posters are preferred. Easels will only be available for presenters who have submitted their poster prior to the deadline and have registered for the meeting by the deadline. If a presenter provides their own backer board, the poster may be up to 36” tall by 48” wide.

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3 Font Suggestions:

Use clear, simple fonts, e.g., Times New Roman or Arial.

Title – 135 pt

Authors and Institution – 66 pt Headings of Sections – 35 pt Text – 24 pt

Figure captions and legends – 24 pt Acknowledgements – 22 pt

Poster Content

Title area – keep the title simple and concise, list all authors and their institutions; please list the

presenting student author first within a listing of authors

Abstract – the abstract should be written to catch the interest of the audience, the abstract

provides an overview of the poster

Background – make sure the background sections share why you are doing the project Methods – experimental methods should be presented

Figures – some authors place their figures as a section, other authors place figures in context

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Results – the audience must be able to quickly grasp your results, all posters must have results Discussion – also could be conclusions

Implementation /Conclusions/ Societal Impact – this section will be read carefully. The

transportation research day posters describe work completed or partially completed.

Acknowledgements – it is very important to acknowledge your funding source(s), employees

of the funding source may be in the audience. They will look for appropriate acknowledgement in your poster. Additionally, acknowledge those who assisted with the project, but are not the authors. Authors sometimes use logos to acknowledge support; however, a few words are more meaningful to the audience.

References – typically posters are referenced in standard form appropriate for the discipline,

e.g., Transportation Research Board (TRB) style is commonly used for transportation posters, American Chemical Society (ACS) style for chemistry meetings, and American Psychological Association (APA) style in the social sciences.

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2014 Poster Judging Checklist

Poster # _____________ (to be added by the SPTC)

Poster Topic: (Circle one)

Pavement Structures Management and Logistics Safety Education, Outreach, and Diversity Other

Lowest (1) to Highest (10) Score 1.) Abstract or Summary in poster

1 2 3 4 5 6 7 8 9 10 _____ 2.) Scientific/Engineering/Area of Emphasis presentation

(Clear purpose, hypothesis, background info, results, impact, further study expected) 1 2 3 4 5 6 7 8 9 10 _____ 3.) Student’s ability to explain project to audience/judges

1 2 3 4 5 6 7 8 9 10 _____ 4.)Visual appearance

1 2 3 4 5 6 7 8 9 10 _____ 5.) Clarity for ODOT-SPTC Transportation Research Day audience

1 2 3 4 5 6 7 8 9 10 _____ 6.) This year’s theme is “Serving Our Stakeholders;” presenting tech transfer and implementation is very important.

1 2 3 4 5 6 7 8 9 10 _____ 7.) Overall Presentation

1 2 3 4 5 6 7 8 9 10 _____ Total _____ Notes:

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Introduction

Real-time Monitoring of Slope Stability in Eastern Oklahoma (ODOT SPR 2241)

In the U.S. in 2001, landslides caused approximately $3.5 billion in damage (USGS 2004). While the majority of newsworthy landslides in the United States occur in California,

Oregon, and Washington, landslides occur on a smaller scale in all 50 states. In fact, Oklahoma experiences approximately 20 reported landslides per year that damage homes,

roadways and infrastructure and quietly cost the taxpayers substantial amounts of money. In fact, two relatively recent slides (Route 20 Keatonville and Route 82 Red Oak) cost

taxpayers well into the millions of dollars. This study aims to characterize and assess landslides in eastern Oklahoma in order to determine indicators revealing why particular

areas continue to slide year after year. This characterization will be performed using a combination of historical data from ODOT project files, laboratory testing, in situ testing and

analysis of high resolution satellite images, including hydro climatology data. Coupling high-quality ground reconnaissance and testing with high tech satellite images will produce

a refined regional landslide hazard map and a comprehensive model for Oklahoma transportation officials to use to keep transportation corridors open and commerce moving.

PI: Amy B. Cerato, Ph.D., P.E.

Co-PI: Yang Hong, Ph.D.

Students: Wassim Tabet, Lei Zhang, Xiaodi Yu

This research project is focused on landslides occurring

in the eastern portion of Oklahoma with the idea that

this research will be continued to encompass all of

Oklahoma. Even with well established slope stability

codes, there is currently a lack of technical

understanding about why certain soil deposits and

road cuts fail at commonly used slope geometries.

Objectives

The goals of this research project are to assist the state

in understanding, recognizing, and addressing landslide

prone areas by creating an updated functional

landslide hazard map that may be used by ODOT and

others when building and maintaining infrastructure to

predict and prevent future transportation corridor

blockages.

Methodology



Identify and characterize problematic slide areas in

eastern Oklahoma.



Utilize GIS-Based Weighted Linear Combination

Methods to develop a regional landslide

susceptibility and hazard map.



Relate safe and stable constructed slope geometry

to soil type and geologic setting with site-based

in-situ monitoring and modeling experiments.

Work in Progress



Derive and Verify Landslide Hazard Maps.



Installing remote sensing in situ equipment into a

chosen slide mass for verification.



Validating and verifying our model on a landslide

“Hotspot. ”

Most of these landslides occurred because of where

and how they were built, in terms of geology, rainfall,

groundwater and vegetation, slope design and

construction methods, among other issues.

0 0.1 0.2 0.3 0.4 0.5 0.6

Very Low Low Medium High Very High

Frequency

Susceptibility

All Piexels ODOT

Since Oklahoma is relatively flat, less than 14% of

the entire state is in an area of high and very high

risk. 19 out of 23 total ODOT landslide locations fall

within these two categories.

Four remote sensing data layers are used, which are

key factors that affect slope stability. They are

slope, soil texture type, land cover type and

elevation. Weights and ratings are assigned to

generate the best map.

Existing OK Landslide Hazard Map

(From Radbruch-Hall et al. 1982)

Results

US 271 - Talihina

Route 82 – Red Oak

The landslide locations were obtained from ODOT

division engineers and USGS.

The high risk area is in the Southeastern mountain

region, which coincides with the old hazard map.

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ALTERNATE BIDDING STRATEGIES FOR ASPHALT AND CONCRETE

G S

G S O

S

CO C

PAVEMENT PROJECTS UTILIZING LIFE CYCLE COST ANALYSIS (LCCA)

(

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S

d A P

D id J

PhD

OTCREOS10 1 20

Saeed A Pour; David Jeong PhD

OTCREOS10 1 20

Saeed A Pour; David Jeong PhD

OTCREOS10 1-20

Saeed A.Pour; David Jeong, PhD

OTCREOS10.1 20

Saeed A.Pour; David Jeong, PhD

;

g,

2012 ODOT OkTC T

i

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h D

_{S h l f Ci il & E i}

_{t l E i}

_i

_{Okl h}

_{St t U i}

_{it Still}

_t

_{Okl h}

2012 ODOT OkTC Transportation Research Day

_{School of Civil & Environmental Engineering Oklahoma State University Stillwater Oklahoma}

2012 ODOT-OkTC Transportation Research Day

_{School of Civil & Environmental Engineering Oklahoma State University Stillwater Oklahoma}

2012 ODOT-OkTC Transportation Research Day

_{School of Civil & Environmental Engineering, Oklahoma State University, Stillwater, Oklahoma}

2012 ODOT OkTC Transportation Research Day

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Introduction

Methodology

Case Study

Results

Introduction

Methodology

gy

Case Study

y

Results

D t i i ti LCCA M d l

Alt t Biddi f P t T S l ti • In the marketing area association analysis is utilized to determine Project IM STIM(001) Deterministic LCCA Model

Alternate Bidding for Pavement Type Selection • In the marketing area, association analysis is utilized to determine Project IM-STIM(001) Deterministic LCCA Model

_{“C” F t}

Alternate Bidding for Pavement Type Selectiong yp In the marketing area, association analysis is utilized to determine Project IM STIM(001)

_{“C” Factor}

hi h d t b i h d t th b th t j ( )

C Factor

which products are being purchased together by the customers

C Factor

A h lt C t

which products are being purchased together by the customers.

T t l Bid P i A + C p g p g y Asphalt Concrete $6 000 000 _{$5 393 700}

Total Bid Price = A + C Asphalt Concrete $6 000 000 _{$5 393 700}

Total Bid Price = A + C p $6,000,000 _$5,393,700

Wh h ld $ , , What should _{$ 000 000} What should _{$5 000 000} _{$4 406 400} What should _$5,000,000 _{$4 406 400} be in the $5,000,000 $4,406,400 be in the Is soda typically be in the

Diff b t Lif _{b k t th t i} Is soda typically $4 000 000

Difference between Life _{basket that is} Is soda typically $4 000 000

Difference between Life- y y $4,000,000

h d ith

basket that is , ,

purchased with

cycle costs of alternatives

Contractor’s base bid cycle costs of alternatives _not? purchased with

Contractor s base bid cycle costs of alternatives _not? p _{$3 000 000}

Contractor s base bid _$3,000,000

bananas? not?

C l l t d b DOT bananas? $3,000,000

Calculated by DOTs bananas?

Calculated by DOTs $2 000 000 y $2 000 000 $2,000,000 $ , ,

What other items

U f th f k t th h th biddi What other items $1 000 000

• Use of the free market through the biddingUse of the free market through the bidding What other items $1 000 000$1,000,000

d t t d

g g

t h l d id t t do customer tend

process to help decide pavement type do customer tend _$0

process to help decide pavement type. _$0

p ocess to e p dec de pa e e t type _$0

to buy next?

F i i f i i i to buy next? $0

• Fair environment for competition is necessary to buy next? _{Realistic Approach} _{Deterministic Approach}

• Fair environment for competition is necessary.Fair environment for competition is necessary. _{Realistic Approach}_{Realistic Approach} _{Deterministic Approach}_{Deterministic Approach}

Realistic LCCA Model Realistic LCCA Model Realistic LCCA Model

What types of treatment are likely to occur together? Probability The “C” factor is 18 3% more in deterministic approach compared to

• What types of treatment are likely to occur together? Probability The C factor is 18 3% more in deterministic approach compared to

B k

d

What types of treatment are likely to occur together? The C factor is 18.3% more in deterministic approach compared to

Background

yp y g Probability _{li ti} _h

Background

g

_{Wh t i th} _{f t} _t _t _{ti iti ?} Probability _{realistic approach}

• What is the sequence of treatment activities?What is the sequence of treatment activities?q y Joint RehabJoint_Rehab Joint Rehab GrindJoint_Rehab Grind realistic approach. pp

C t LCCA P ti

Current LCCA Practice 46 2 yrs

Current LCCA Practice 23.2 yrs 40.2 yrs 41.2 yrs 46.2 yrs

Conclusions

A l i P i d (33 )

23.2 yrs 40.2 yrs 41.2 yrs

S l V l

Conclusions

A

i ti

A

l i

Analysis Period (33 yrs) Salvage Value

Conclusions

Association Analysis

g

Association Analysis

• Typically DOTs perform LCCA by

Association Analysis

• Typically, DOTs perform LCCA byTypically, DOTs perform LCCA by

RealCost software _B _{b tit ti} _t _ti _ith _t _{d t} _t _t _{This research project introduces a novel approach in performing life}

RealCost software _• _{By substituting pavement sections with customers and treatment} _{• This research project introduces a novel approach in performing}

life-RealCost software.

J i t R h b This research project introduces a novel approach in performing life

• By substituting pavement sections with customers and treatment Joint Rehab _Grind j g

l t l i (LCCA) b li th f t tt i th

y g p

O l t t t t t b _{types with purchased products the concept of association can be} _ Grind _{cycle cost analysis (LCCA) by revealing the frequent patterns in the}

• Only one treatment strategy can beOnly one treatment strategy can be y gy _{types with purchased products, the concept of association can be}_{types with purchased products, the concept of association can be} _{43 2 yrs} _{cycle cost analysis (LCCA) by revealing the frequent patterns in the}_y _y ₍ _{) y} _g _q _p

d fi d f LCCA _{li d t th hi t i l} _{t t} _t _{t d t} _t 23 2 yrs 34 2 yrs 43.2 yrs _{historical pavement treatment data sets to calculate the “C” factor for}

defined for LCCA _{applied to the historical pavement treatment data set} 23.2 yrs 34.2 yrs _{historical pavement treatment data sets to calculate the C factor for}

defined for LCCA. applied to the historical pavement treatment data set. Analysis Period (33 yrs)Analysis Period (33 yrs) Salvage ValueSalvage Value historical pavement treatment data sets to calculate the C factor for

lt t t t biddi

pp p

f f alternate pavement type bidding

• The sequence of activities is fixed alternate pavement type bidding.

• The sequence of activities is fixed.The sequence of activities is fixed. p yp g

Th li ti LCC i l t t l t th th t f th t diti l

• The realistic LCC is closer to actual costs than that of the traditional

Joint Rehab _{J i t R h b} • The realistic LCC is closer to actual costs than that of the traditional

Joint_Rehab _{Joint_Rehab}_{_}

approach since flexibility in selecting treatment strategies has been approach since flexibility in selecting treatment strategies has been

M ti ti t D l N LCCA M d l 49 2 yrs approach since flexibility in selecting treatment strategies has been

Motivation to Develop a New LCCA Model 23.2 yrs 40.2 yrs 49.2 yrs

taken into acco nt

Motivation to Develop a New LCCA Model _{A l i P i d (33}23.2 yrs ₎ 40.2 yrs

l l taken into account

p _{Analysis Period (33 yrs)}_y ₍ _{y )} _{Salvage Value}_g _{taken into account.}

U i li ti LCCA d l d l d i thi t d h l t t DOT

“C” f t i iti ll i t t d i th lt t biddi • Using realistic LCCA models developed in this study helps state DOTs

• “C” factor is critically important during the alternate bidding process Using realistic LCCA models developed in this study helps state DOTs

• C factor is critically important during the alternate bidding process. g p y p

d l li ti t i t d h bilit ti

y p g g p

develop more realistic pavement maintenance and rehabilitation

Th i b t i d t i th t LCC d l develop more realistic pavement maintenance and rehabilitation

• There is no consensus between industries on the current LCC models Joint Rehab Unbonded Overlay de e op o e ea st c pa e e t a te a ce a d e ab tat o

• There is no consensus between industries on the current LCC models Joint_Rehab Unbonded_Overlay

strategies and budgets strategies and budgets

that calculate “C ” strategies and budgets.

that calculate C 38 2 yrs

that calculate C. _{23 2 yrs} 38.2 yrs

A workshop will be held for ODOT engineers to introduce Excel based

A l i i d (33 )

23.2 yrs

• A workshop will be held for ODOT engineers to introduce Excel-based

“Past behavior and performance predicts future behavior and Analysis Period (33 yrs) Salvage Value A workshop will be held for ODOT engineers to introduce Excel based

• “Past behavior and performance predicts future behavior and y ( y ) g p g

LCCA d h t d l d t l l t “C” f t i b th

Past behavior and performance, predicts future behavior and

LCCA spreadsheet developed to calculate “C” factor using both

p p

f ” LCCA spreadsheet developed to calculate C factor using both

performance ” p p g

performance.

deterministic and realistic LCCA approaches p

deterministic and realistic LCCA approaches.

Thin OL1 Thin OL1 PC Patch deterministic and realistic LCCA approaches.

Thin_OL1 Thin_OL1 PC_Patch

D t

• As more performance and treatment data is gathered for both asphalt

Data

• As more performance and treatment data is gathered for both asphalt

Data

47 yrs As more performance and treatment data is gathered for both asphalt

Data

_{29 yrs 31 yrs} _{44 yrs} 47 yrs

d t t t th d t i i ti d li ti LCCA

A l i i

29 yrs 31 yrs 44 yrs

and concrete pavement types the deterministic and realistic LCCA

Analysis Period (33 yrs)y ( y ) Salvage Valueg and concrete pavement types, the deterministic and realistic LCCA p yp ,

Hi t i l t t t t d t t f I t t t 40 i tili d t _{models need to be updated}

• Historical pavement treatment data set of Interstate 40 is utilized toHistorical pavement treatment data set of Interstate 40 is utilized to p _{models need to be updated.}_{models need to be updated.}

d l li ti LCCA d l

develop a realistic LCCA model

develop a realistic LCCA model. Joint Rehab Grind Seal

de e op a ea st c CC ode Joint_Rehab Grind_Seal

F t

St di

DJCP A i ti

Future Studies

AC Association DJCP Association 23 2 34.2 yrs

Future Studies

AC Association DJCP Association 23.2 yrs 34.2 yrs

Future Studies

AC Association

Analysis Period (33 yrs) y Analysis Period (33 yrs)

Salvage Value T d l li ti LCCA d l f th t f ili

Salvage Value • To develop realistic LCCA models for other pavement families• To develop realistic LCCA models for other pavement families.

R li ti LCCA

p p

Realistic LCCA

_T _l _if _t _ti _b _d _dditi _{l f t} _h

Realistic LCCA

ea st c CC

_{• To classify pavement sections based on additional factors such as}

M d OL3 Mill Thi OL1 • To classify pavement sections based on additional factors such as

Med OL3_ Mill Thin OL1_ _ y p

foundation materials and thickness environmental conditions and foundation materials and thickness, environmental conditions, and

40 yrs foundation materials and thickness, environmental conditions, and

26 yrs 40 yrs _i _bilit

26 yrs _{serviceability}

Analysis Period (33 yrs) serviceability.

Analysis Period (33 yrs) y

Salvage Value Salvage Value

“S ” S d A P David Jeong PhD “Sean” Saeed A Pour David Jeong PhD

Join Seal Grind Seal Sean Saeed A.Pour David Jeong, PhD

Join_Seal Grind_Seal

sabdoll@okstate edu djeong@iastate edu

38 sabdoll@okstate.edu djeong@iastate.edu

14 28 38 yrs sabdoll@okstate.edu j g@

14 yrs 28 yrs y

Ph 515 294 7271

Analysis Period (33 yrs)

y y

Phone: 405 762 3596 Phone: 515-294-7271

Analysis Period (33 yrs)

Phone: 405-762-3596 Phone: 515 294 7271

Salvage Value Salvage Value

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Evaluation of the Enhanced Integrated Climatic Model for Modulus-Based

Construction Specifications for Oklahoma Pavements

Er Yue

1

_{, Omar Amer}

1

_{, Hoda Soltani}

2

_{, Zahid Hossain}

2

_{, Dr. Rifat Bulut}

1

_{, Dr. K.K. “Muralee” Muraleethharan}

2

_{, Dr. Musharraf Zaman}

2

1

_{School of Civil and Environmental Engineering, Oklahoma State University, Stillwater, OK}

2

_{School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK}

• TMI is represented by a simple water balance

equation: TMI = I

_h

– 0.6 I

_a

I

_h

: humidity index; I

_a

: aridity index

• The EICM model generated TMI of a typical section:

• Maps of the TMI distribution for nine climate regions

and/or pavement performance regions are being

created. The equilibrium suction will be obtained from

the TMI maps.

• Five climatic parameters are used in the EICM:

temperature, wind speed, percent sunshine,

precipitation, and relative humidity.

• At each Mesonet site, the climatic parameters are

measured by the instruments located on a 10-meter-tall

tower. The observations are taken every 5 minutes, 24

hours per day year-round. Data is available since 1994.

• Current EICM only has eight input files for Oklahoma.

This project will create one input file for each of 77

counties in Oklahoma.

• Percent sunshine calculations are based on two

equations:

-ASCE Equation:

f

_cd

= 1.35 R

_s

/R

_so

– 0.35

f

_cd

: percent sunshine

R

_s

: measured or calculated solar radiation

R

_so

: calculated clear-sky radiation

-NCHRP Equation:

Q

_s

= a

_s

R* [A + B (S

_c

/100)]

Q

_s

: net short wave radiation

A

_s

: surface short wave absorptivity

S

_c

: percent sunshine

R* : extraterrestrial radiation

A = 0.202 , B = 0.539

Schematic Drawing of a Mesonet Site in Oklahoma

Financial support for the project ODOT 11.1-10 and

OTCREOS 11.1-10 was provided by

• Oklahoma Department of Transportation,

• Oklahoma Transportation Center, respectively.

• The Oklahoma Mesonet continuously measures soil

matric suction at depths of 5 cm at 103 sites, 25 cm at

101 sites, 60 cm at 76 sites, and 75 cm at 53 sites.

• The soil matric suction measurements are recorded

every 30 minutes, 24 hours per day year-round.

The Annual Cycle of Soil Moisture in Oklahoma (I. Moist plateau; II. Transitional drying; III. Enhanced drying; IV. Recharge)