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P3 PAVEMENT DESIGN It’s Different!

6th Annual Western Canada Pavement Workshop – 2015 Edition, February 3rd, 2015 - Calgary, Alberta

Art Johnston C.E.T., Chief Technologist, Transportation Practice

Clarifications

• P3 Project is Design, Build, Finance, Operate or DBFO

• Various Entities – Owner, Equity, Concessionaire, Design Build Joint Venture, Constructors or JV, and Operator

• Pavements Engineering can be for Owner (OE), Design Team, Constructor, or Concession / Operator

Why are they Different? • Roles are completely different than traditional project

delivery • Requires complex performance forecasting and LCCA • Consequences of performance deficiencies are

significant • Risk profiles need to be considered • Pavements can win the job!

Typical DBFO Elements • Mainline (multiple lanes, multiple traffic loading and

subgrade support conditions) • Rehabilitation sections (salvage to “like new” can make

team more competitive) • Ramps & Loops (can represent >100 pavement designs,

integration with mainline) • Cross Roads (typically Long Life Pavement approach)

What’s Involved? • Development of pavement concepts (e.g, deferment, long life, alternative

materials, etc.) • Develop initial pavement structures based on subgrade support conditions

and traffic loadings • Performance modelling and evaluation of each initial pavement structure

against the performance requirements • Using detailed LCCA, determine the type and timing of future

interventions for each initial pavement design

P3 Design Considerations

• Performance Requirements (as per Concession Agreement) • Operational Term (e.g. 30 years, 40 years) • Average IRI, Rut, etc. • Maximum Tolerable IRI, Rut, etc. • Hand Back Requirements

• Consequences of Non-conformance • $/day, Lane rental • Unplanned interventions

Pavement Strength Testing

• Needs to be initiated ASAP • Required for:

• Subgrade support condition (back-calculated subgrade modulus)

• Pavement rehabilitation design

Distress Prediction Modelling

•Structure

•Age

•Traffic

•Environment

•Condition

Crack Initiation

Rutting

Crack Progression

Roughness

Pot Holes

Raveling

Calibrated for local

environment

Distress Prediction Modelling Lane 1 Lane 2

0

2

4

6

8

10

12

14

16

18

20

0 2 4 6 8 10 12 14 16 18 20

Predicted 2009 Rut (mm)

Act

ual 2

009

Rut

(mm

)

Models are Calibrated for Local Conditions

Distress Prediction Modelling Lane 1 Lane 2

Distress modelling by lane allows for optimal treatment timing for all lanes.

2027 2030

Life Cycle Cost Analysis • Must Consider the Net Present Value (NPV) of all costs over the

concession life of the asset

• Life-cycle cost = Initial Construction Costs

+ NPV Rehabilitation Costs + NPV Routine Maintenance Costs + NPV Lane Closure Costs + NPV Performance Penalty Costs + NPV End of Term Costs

Life Cycle Cost Analysis

0 Years 20 Years

Pavement Age

Very Good

PavementCondition

Very Poor

Do-Minimum Strategy Strategy 2

Strategy 1

Higher Operating and Maintenance

Costs

Lower Operating and Maintenance

Costs

Surface Trt Surface Trt

Overlay

Distress Prediction Modelling For a given homogenous pavement segment there are thousands of feasible pavement strategies

Selecting the strategy that meets performance specification requirements

Multi-Strategy LCCA

GIS TOOL Subgrade Strength

Roughness (IRI)

Post Construction Pavements Engineering PSP-7000 • GPS • Linear Referencing • Wheelpath Profile • Rut Measurements • IMU Augmented GPS Referencing • Distress • ROW Digital Video • Panoramic Video • Geometrics • LiDAR • 3D Surface Profile • Surface Texture • 360° LiDAR

Data Collection – Develop Performance Prediction Models – Asset Management – Regular Update & Optimization of Maintenance & Rehabilitation Plan

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Predicted Condition (1 km Sections) 2015

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Predicted Condition (1 km Sections) 2016

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Predicted Condition (1 km Sections) 2017

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Predicted Condition (1 km Sections) 2018

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Predicted Condition (1 km Sections) 2019

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Predicted Condition (1 km Sections) 2020

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Predicted Condition (1 km Sections) 2021

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Predicted Condition (1 km Sections) 2022

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Predicted Condition (1 km Sections) 2023

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Predicted Condition (1 km Sections) 2024

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Predicted Condition (1 km Sections) 2025

Title QUESTIONS

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