Download - Asset Management.ppt
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Asset Management Systems
Pavement Management
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What is Transportation Asset Management?
“An ongoing process of maintaining, upgrading, and operating physical assets
cost effectively, based on a continuous physical inventory
and condition assessment”
Source: Act 499 of the Public Acts of 2002.
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New Roof
$10,000
New Roof
$10,000
Replace Windows
$5,000
Replace Windows
$5,000
Siding
$8,000
Siding
$8,000
New Carpet
$4,000
New Carpet
$4,000
New Furnace
$8,000
New Furnace
$8,000
Landscaping
$3,000
Landscaping
$3,000
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Asset management for a car
New Car
• Regular oil changes,
• Flush radiator
• Wash/wax regularly
• Repair paint chips
• Change belts,
• Change transmission fluid
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Asset management for a car
Aging Car
• Charge AC
• Repaint
• Engine overhaul
• New tires
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Asset management for a car
Old Car
• Only critical maintenance
• Only critical repair
• Not worried about auxiliary features that fail
• Keep it running until it can be replaced - minimize cost
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Not worried about scratches on this one!
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Innovative Repair Strategies
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Nuts and Bolts of Asset Management
Pavement Management
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Managing Physical Assets
Features of an Asset Management “System”
1.Inventory
2.Condition Measure
3.Prediction of Future Condition
4.Tools / Metrics for Managing Network
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You can’t manage what you don’t know you own
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Inventory – What do I own?
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Need data on any feature that influences:
• Cost to Replace or Maintain
• Maintenance or Rehab Treatment Options
• Influences Management Decisions
• Service Life
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Inventory – What do I own?
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Inventory – Basics
• Pavement Type
• Asphalt
• Concrete
• Sealcoat
• Composite
• How many lane miles of each?
• How wide are the lanes?
• Where are they? – Map
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Inventory – Others
• What types of roads are they? – functional class
• Maintenance history
• Funding qualification
• Curb types
• Shoulder type and width
• Presence of other utilities and general condition
• Confining structures (overpass)
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Condition– What Shape is it In?
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Condition – Picking A System
• Sustainable • Can I afford to collect the data?
• Can my staff collect that data or do I have to hire it out?
• Can I collect enough data to give me suitable information?
• Be descriptive about the asset• Can I make decisions about the asset from the rating?
• Can it be understood by staff?
• Can I explain it to public and elected officials?
• Is the level of data appropriate?
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Condition Rating – Types of Systems
Ordered State Ratings
Set of criteria which describe a set of discrete, ordered states.
Professional observer judges state and assigns rating.
Usually most cost effective system
Most subject to variability by rater
• PASER – Pavement Surface Evaluation and Rating
• Maintenance State “Good – Fair – Poor”
• MDOT Sufficiency Rating System
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Condition Rating – Types of Systems
Index System
Set of criteria which relates physical measurements of distress extent and observer opinion of severity to a numeric rating.
Criteria numerically relate distresses to each other.
Usually requires sampling and reliance on statistics to apply over large network
Index levels may not be discrete
Record of distress propagation
• PCI – Pavement Condition Index (Micropaver)
• MDOT Distress Index
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Index Rating
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Condition Rating – Types of Systems
Measurements of physical aspects• Rutting
• Roughness
• Skid resistance
• FWD data (pavement rigidity)
• Crack frequency
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Why Rate Roads?
• Anticipate treatment windows – “When to do things”
• Condition measure – “What things to do”
• Measure of adequacy– “How did that treatment/design work?”
• Measure of network change - “Are things getting better or worse?”
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Prediction – What Shape WILL it be in?
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Predicting the Future Condition
• Past experience / Professional opinion
• Rules of thumb
• Traffic Volume
• Model historical rating data
• Forward Looking Models
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Predicting the Future
Rules of thumb
• New asphalt pavement last 14 years
• 5 years after rehab or 2 years after overlay need a crack seal
• 8 years after resurfacing need seal coat
• Overlays last 6 years
Concerns
• No calibration
• Assumptions are sensitive to error
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Predicting the Future
Traffic Volume
• Design ESALS
• Use traffic counts as measure of remaining service life
Concerns
• Assumes construction reflects design
• Hard to calibrate to meaningful intervals
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Modeling Historical Data
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Modeling Historical Data
Constrained polynomial
• Fit progressively higher order polynomials
• Constrain so fit line does not have positive slope
Curve Form Fitting
• Makes assumptions about general form
• Fits curve family to data points
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Early Estimation - Prescriptive
Years Since Construction
PA
SE
R R
AT
ING
10
1
9876543211
5 10 15 20 25 30
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Modeling Curve Form Fitting
Years Since Construction
PA
SE
R R
AT
ING
10
1
9876543211
5 10 15 20 25 30
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Polynomial Fitting
Years Since Construction
PA
SE
R R
AT
ING
10
1
9876543211
5 10 15 20 25 30
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Network Management Tools – Getting Asset Where You Want It To Be
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Network Level Vs. Project Level
Project: Moving pieces
Network: Winning game
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Service Cycle
• How big is the network?
• How much of the network do I do work on?
• How long will it take to “touch” the entire network?
• Is this longer than the expected life of my pavement?
• EXAMPLE
• 500 lane mile road network
• Do 10 lane miles of work each year
• Takes 500/10 = 50 years to touch all of the network
• Asphalt pavement only last 15 years
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Historical Distribution
Road Rating Distribution 2004
0
5
10
15
20
25
30
35
40
45
1 2 3 4 5 6 7 8 9 10
PASER Rating
Lan
e M
iles
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Winning or Loosing?
Road Rating Distribution 2008
0
5
10
15
20
25
30
35
40
45
1 2 3 4 5 6 7 8 9 10
PASER Rating
Lan
e M
iles
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NCPP Network Condition Health
• # Of Lane Miles in your network
• Same number of RSL lost each year
• How it works . . .
• Programmed Activity (reconstruction, chip seal, etc.)
• Fix Cost (per lane mile)
• Extended Service Life (ESL)
• # of Lane Miles Fixed
• Result
• Lane Mile/ Years per Fix
• Total for Entire Network
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NCPP Process
COSTS
Reconstruction _______ Lane Miles X $300,000 = $______________
Overlay _______ Lane Miles X $80,000 = $______________
Sealcoat _______ Lane Miles X $20,000 = $______________
Crack seal _______ Lane Miles X $4,000 =
$______________
TOTAL
_________________
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NCPP Process
COSTS
Reconstruction _______ Lane Miles X $300,000 = $______________
Overlay 2 Lane Miles X $80,000 = $ 160,000
Sealcoat _______ Lane Miles X $20,000 = $______________
Crack seal _______ Lane Miles X $4,000 =
$______________
TOTAL
_________________
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NCPP Process
Lane Mile-Years Improvement
Reconstruction _______ Lane Miles X 15 Years = _________________
Overlay _______ Lane Miles X 8 Years = _________________
Sealcoat _______ Lane Miles X 4 years = _________________
Crack seal _______ Lane Miles X 1 year = _________________
TOTAL
_________________
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NCPP Process
Lane Mile-Years Improvement
Reconstruction _______ Lane Miles X 15 Years = _________________
Overlay 2 Lane Miles X 8 Years = 16
Sealcoat _______ Lane Miles X 4 years = _________________
Crack seal _______ Lane Miles X 1 year = _________________
TOTAL
_________________
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NCPP Network Condition HealthMI Example—625 Lane Mile Network
Programmed Activity
Fix Cost per Lane
Mile
ESL Years
# of Lane Miles of Fix
Lane Mile
Years
Total Cost
Reconstruction $530,000 15 4 60 $2,120,000
Rehabilitation $170,000 14 6 84 $1,020,000
Mill & Overlay $68,000 8 5 40 $340,000
Non Struc. OvL $32,000 2 7 14 $224,000
Crack Seal $4,800 1 6 6 $28,800
204 $3,732,800
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Network Level Strategy AnalysisUsing Computer Models
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Is It A Management System? GIS
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Is It A Management System?
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GASB 34
• Accounting method
• Requires road assets to be reported as “cash value”
• Assets must be devalued for age or quality
• Results must be reported to federal government
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Systems Management Adoption
In order for a system to be valued and have longevity it must do the following:
oBe part of the agencies business practice,
AND
oWork to make a necessary business practice easier,
AND
oThe time spent supporting the system must be less that the value it provides.
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Roadsoft Strategy Evaluation
Segments with similar RSL summed by mileage
Analysis by singular pavement type
Network level (segment history lost)
RSL Miles15 1.40
14 4.40
13 10.37
12 13.01
11 11.99
10 2.10
9 8.66
8 25.43
7 22.45
6 10.88
5 9.54
4 1.32
3 28.11
2 43.55
1 52.34
0 11.89
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Deterioration
Each Year of simulation subtracts one year of RSL
Keeps negative RSL categories discrete
RSL 2006 2007 2008
15 1.40 0 0
14 4.40 1.40 0
13 10.37 4.40 1.40
12 13.01 10.37 4.40
11 11.99 13.01 10.37
10 2.10 11.99 13.01
9 8.66 2.10 11.99
8 25.43 8.66 2.10
7 22.45 25.43 8.66
6 10.88 22.45 25.43
5 9.54 10.88 22.45
4 1.32 9.54 10.88
3 28.11 1.32 9.54
2 43.55 28.11 1.32
1 52.34 43.55 28.11
0 11.89 52.34 43.55
-1 0 11.89 52.34
-2 0 0 11.89
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Treatment
• User specified treatments
• Cost
• “Trigger“ range
• “Reset” range
• Treatments only applied to Trigger range
• No candidates, no treatment
RSL 2006
2007 2008
15 1.40
20 0
14 4.40
1.40 20
13 10.37
4.40 1.40
12 13.01
10.37 4.40
11 11.99
13.01 10.37
10 2.10
11.99 13.01
9 8.66
2.10 11.99
8 25.43
8.66 2.10
7 22.45
25.43 8.66
6 10.88
22.45 25.43
5 9.54
10.88 22.45
4 1.32
9.54 10.88
3 28.11
1.32 9.54
2 43.55
28.11 1.32
1 52.30
43.55 28.11
0 11.50
52.30 43.55
-1 0 11.50 43.80
-2 0 0 0
{20 MI
Reconstruct