Multi-Variable Analysis For Pavement Assessment

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Multi-Variable Analysis forPavement AssessmentNate BechARRB Group, Inc.PE 2019

Objectives1. Review continuous pavement data2. Examine pavement metrics and distress3. Share case studies4. Discuss advantages and limitationsPE 2019

Continuous Data Continuous properties being measured Provides detailed assessment of projectPE 2019

Continuous Data CollectionGPS ReceiverCamerasCamerasInertialProfilerPE 2019Traffic SpeedDeflectometerLaser CrackMeasurementSystem (LCMS)

How to Use Continuous Data?Individual datastreamsAlligator crackingGroup datastreams by typeAnalyze all datastreams togetherPE 2019Alligator, longitudinal, and transverse crackingCracking, rutting, deflection, and roughness

Single Data StreamCracking shows areas of surface distress, but not cause of distressWheelpath CellsCracked 25%PE 2019

Group Data by Type Cracking shows areas of surface distress, but not structural condition Deflection shows structural condition, but not extent of surface distressWheelpath Cells Cracked 25%PE 2019D0 35 mils

Use All Data StreamsCombining cracking and deflection highlights areas of structuralconcernWheelpath CellsCracked 25%andD0 35 milsPE 2019

Use All Data StreamsCombining cracking and deflection highlights areas of structuralconcernPE 2019

Multi-Variable AnalysisStrength Metrics: Deflection, deflection velocity, indicesSurface Metrics: Roughness, rutting, cracking, textureCombination of metrics determines appropriatetreatment:Surface MetricsStrengthMetricsPE 2019Rough SurfaceSmooth SurfaceHigh DeflectionFull depth repairMonitor / plan forrepairLow DeflectionSurfacepreservationNo treatment

Critical CombinationsCase 1: High Deflection / Rough SurfaceCase 2: High Deflection / Smooth SurfaceCase 3: Low Deflection / Rough SurfaceCase 4: Low Deflection / Smooth SurfaceSurface MetricsStrengthMetricsPE 2019Rough SurfaceSmooth SurfaceHigh DeflectionFull depth repairMonitor / planfor repairLow DeflectionSurfacepreservationNo treatment

Filtering Continuous DataPE 2019

High Defl., Rough Surface (Case 1)Deflection and alligator cracking identify fatigue damage D0 15 mil Cells Alligator Cracked 25%PE 2019

High Defl., Rough Surface (Case 1)Deflection and roughness identify problematic approach slabs D0 12 mil (300 um) IRI Avg. 250 in/miPE 2019

High Defl., Smooth surface (Case 2)Deflection indicates weak structure despite smooth surface D0 15 milTotal Cells Cracked 25%Rut Avg. 0.3 inIRI Avg. 150 in/miPE 2019

High Defl., Smooth Surface (Case 2)SCI 8 indicates weak intermediate layers despite smooth surface SCI 8 ( D8-D0 ) 5 mil Total Cells Cracked 25% IRI Avg. 150 in/miPE 2019

High Defl., Smooth Surface (Case 2)SCI Subgrade indicates weak subgrade under smooth surface SCI Subgrade ( D60-D36 ) 5 mil Total Cells Cracked 10%PE 2019

Low Defl., Rough Surface (Case 3)Low deflection suggests rough section is structurally adequate IRI Avg. 200 in/mi D0 10 milPE 2019

Low Defl., Rough Surface (Case 3)Low deflection confirms cracked area is structurally adequate Wheelpath Cells Cracked 50% D0 10 milPE 2019

Low Defl., Rough Surface (Case 3)Low deflection confirms patched, rough area is structurally adequate IRI Avg. 300 in/mi D0 10 milPE 2019

Low Defl., Smooth Surface (Case 4)All is good!PE 2019 D0 5 mil Rut Right 0.33 in IRI Avg. 120 in/mi

Advantages Identify distressmechanism Improved treatmentselection Multi-scale applicationPE 2019IRI Avg. 200 in/mi, D0 10 mil

Limitations Critical distresscombinations vary Unknown variables Use in pavementmanagement Large amount of data( 1.5 GB/mile)PE 2019Wheelpath Cells Cracked 25%, D0 35 mils

Questions What other combinations of metrics should be used? How should critical combinations be defined for differentpavement types/classes? How can continuous data be used in existing pavementmanagement systems?Nate.Bech@arrbgroup.netPE 2019

Review continuous pavement data 2. Examine pavement metrics and distress 3. Share case studies . Deflection shows structural condition, but not extent of surface distress Wheelpath Cells Cracked 25% D0 35 mils. . Multi-scale application IRI Avg. 200 in/mi, D0 10 mil. PE 2019 Limitations Critical distress

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