LTPP – Case Studies in Performance Data Mining

Transportation Data Palooza – Processing Data Track

May 9, 2013

US DOT HQ, Washington, D.C.

Yan (Jane) Jiang, P.E.

TFHRC HRDI-30, LTPP Team

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LTPP Mission Statement

To increase pavement life by investigation of various designs of pavement structures and

rehabilitated pavement structures, using different materials and under different loads, environments,

subgrade soil, and maintenance practices.

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The GOAL is to answer HOW and WHY pavements perform as they

do.

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ENVIRONMENTENVIRONMENT

TRAFFICTRAFFIC

CONSTRUCTIONCONSTRUCTION

STRUCTURESTRUCTURE

MAINTENANCEMAINTENANCE

Measure(s)Measure(s)ofof

ServiceabilityServiceabilityoror

DeteriorationDeterioration

LayerLayerThicknessesThicknessesLayer TypesLayer Types& Properties& Properties

VariationsVariationsin Thicknessin Thickness& Properties& Properties

SubgradeSubgrade Type Type& Properties& Properties

MoistureMoisture

Radiation Radiation

TemperatureTemperature(Min., Max,(Min., Max,

00 Days, etc.) Days, etc.)Freeze-thawFreeze-thaw

CyclesCycles

Axle GroupAxle GroupLoadsLoadsTire TypesTire Types& Pressures& Pressures

TreatmentsTreatments

Axle Spacing,Axle Spacing,Speed,Speed,RepetitionsRepetitions MethodsMethods

QualityQualityTimingTiming

TimingTiming

MethodsMethodsAs-Built QualityAs-Built Quality

VarianceVariance

AgeAge

LTPP Data – All Encompassing

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Q&

A

Send

Data

TrainingDatabase Security

Central Process

QC/QA

Data Upload Production

Database

Q&A

Data mining

Educate

LTPP Data- THE Long-Term Pavement performance DATABASE

research-grade

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Data Mining – Case Study 1 AASHTO Pavement ME Design

First national new Mechanistic-empirical pavement design procedure, not possible without LTPP data

LTPP data mined to develop performance models and national calibration

Database is being mined to perform State calibration

Techniques include simulation, finite element analysis, traditional statistics, and advanced modeling, etc.

Providing significant cost savings to DOTs

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Data Mining – Case Study 2 Virgin vs. Recycled

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Evaluated use of recycled materials in asphalt concrete

Statistical analyses to compare performance vs. material

Knowledge discovery = virgin and recycled perform similarly

Cost savings to DOTs

Increased sustainability

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Data Mining – Case Study 3 Ad hoc Analysis/Training

Hundreds of TRB, ASCE, etc. papers written using data

Academia has embraced LTPP

Data mined for variety of knowledge discovery purposes Model development/calibration Quality management Design features Climate effects Materials performance

Training for future data miners, part of curriculum in some engineering schools.

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Research Results- Coordinated Analysis Program

Publications

Findings

Guidelines

Design

Videos

Data

Software Tools

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Looking into the future—LTPP and TPM

LTPP has the only national, consistent, high quality data set for development of pavement performance measures

Spans all pavement types, climate, loading conditions

24 year+ performance history

LTPP data collection standards used in HPMS

Can be mined for (among other uses): Establishing G/F/P performance thresholds Sensitivity of TPM measures on performance Validating current/future TPM performance prediction models

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Questions

Dedicated Customer Service – ltppinfo@dot.govSearch Engine Key Words – FHWA LTPP

ltpp-products.com

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