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By George Chang, PhD, PE, Transtec Group James Watkins, PE, MSDOT Bob Orthmeyer, PE, FHWA Practical Implementation of Automated Fault Measurement Based on Pavement Profiles International Symposium on Pavement Performance Trends, Advances, and Challenges December 5, 2011

Practical implementation of automated joint fault measuerment

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ASTM E17 Symposium 2011. It describes the algorithm, implementation, and validation of the ProVAL Automated joint Fault Measurement (AFM) tool.

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Page 1: Practical implementation of automated joint fault measuerment

ByGeorge Chang, PhD, PE, Transtec Group James Watkins, PE, MSDOTBob Orthmeyer, PE, FHWA

Practical Implementation of Automated Fault Measurement

Based on Pavement Profiles

International Symposium on Pavement PerformanceTrends, Advances, and Challenges

December 5, 2011

Page 2: Practical implementation of automated joint fault measuerment

Acknowledgement

• FHWA– Bob Orthmeyer

• MSDOT– James Watkins, Cindy Smith, Grady Aultman,

Alan Hatch, Alex Middleton, and Marta Charria

• FLDOT– Abdenour Nazef, Alex Mraz, and etc.

• University of Michigan– Steve Karamihas

Page 3: Practical implementation of automated joint fault measuerment
Page 4: Practical implementation of automated joint fault measuerment

What is ProVAL AFM

• Automated Fault Measurement based on profile data

• FHWA HPMS requires joint fault data

• Implement revised AASHTO R36 “Standard Practice for Evaluating Faulting of Concrete Pavements”

Page 5: Practical implementation of automated joint fault measuerment

High-speed Inertial Profiler

Accelerometer

Computer

Height Sensor

Speed/Distance Measuring System

Page 6: Practical implementation of automated joint fault measuerment

Pavement Profile Data

complete profile high-pass filtered (91 m)

0 50 100 150Distance (m)

-40

-20

0

20

40Right Elevation Profile (mm)

Page 7: Practical implementation of automated joint fault measuerment

Convension of Faulting

Approach SlabDeparture Slab

Joint

Approach SlabDeparture Slab

Joint

Positive Faulting

Negative Faulting

Traffic direction

Page 8: Practical implementation of automated joint fault measuerment

Challenges for AFM - Pavements

• Filled joints• Closed joints• Spalled joints• Curl/warp features• Cracks and other distresses/patches• Joint spacing patterns• Skewed joints• Grade

Courtesy of MSDOT

Page 9: Practical implementation of automated joint fault measuerment

Example of Spalled Joints

Courtesy of MSDOT

Page 10: Practical implementation of automated joint fault measuerment

Example of Negative Faults

Courtesy of MSDOT

Page 11: Practical implementation of automated joint fault measuerment

Example of Transverse Cracks

Courtesy of MSDOT

Page 12: Practical implementation of automated joint fault measuerment

Challenges for AFM - Profiles

• Repeatability/accuracy• Fault validation tests with physical

devices• Sampling intervals• Laser foot prints• Repeated profile runs• DMI drifts

Page 13: Practical implementation of automated joint fault measuerment

Revised AASHTO R36-04

• Feet Spacings for physical devices• Automated procedure based on

pavement profiles• Validation devices for automated

procedure

Page 14: Practical implementation of automated joint fault measuerment

Physical Fault Devices

Courtesy of FLDOT

Georgia Fault Meter

Page 15: Practical implementation of automated joint fault measuerment

Feet Spacings for Physical Devices

Joint

Faultmeter

L1

L2

L3

A

B

CD

Approach Slab

Departure Slab

Leg1

Leg2

Leg3

C, D = 3” to 8.9”76 to 226 mm

Page 16: Practical implementation of automated joint fault measuerment

Profile Requirements

• Repeatability and Accuracy requirements (AASHTO R56)

• Fault validation with physical devices• No additional pre-filtering• Collect profiles at both wheel tracks• Max sampling intervals

– Basic level: 1.5” (38 mm)– Advanced level: 0.75” (19 mm)

Page 17: Practical implementation of automated joint fault measuerment

Candidate Field Validation Devices

MS DOT

B2=6”B1= 6”A=18”L1 L2 L3

Top View

Side View

Handle

Retractable wheel

Handle

Transducer

B = 12”

Page 18: Practical implementation of automated joint fault measuerment

Candidate Field Validation Devices

FL DOT

Page 19: Practical implementation of automated joint fault measuerment

ProVAL AFM

• Multiple profiles

• Joint locations ID

• Edit joint locations

• Compute faults

• Individual faults and segment summary

Page 20: Practical implementation of automated joint fault measuerment

Joint ID Methods

• Downward Spike (FHWA Curl/Warp)

• Step (MSDOT)

• Curled-Edge

Page 21: Practical implementation of automated joint fault measuerment

Downward Spike Detection

• Anti-smoothing filtering

• Normalize the filtered profile (/RMS)

• Detect profile spikes (-4.0)

• Screen joint locations

Page 22: Practical implementation of automated joint fault measuerment

Step Detection

• Deduct profile elevations between consecutive data points

• Detect large step (0.08 in.)

• Screen joint locations

Page 23: Practical implementation of automated joint fault measuerment

Curled-Edge Detection

• Bandpass filtering

• Rolling straightedge simulation

• Detect high RSE (0.12”)

• Screen joint locations

Page 24: Practical implementation of automated joint fault measuerment

Joint ID Methods Selection

• Downward Spike Detection– Shorter sampling intervals

– Downward spikes present

• Step Detection– Apparent faults present

• Curled-Edge Detection– Noticeable slab curling and warping

Page 25: Practical implementation of automated joint fault measuerment

Joint ID Methods Selection

• Downward Spike

Page 26: Practical implementation of automated joint fault measuerment

Joint ID Methods Selection

• Step

Page 27: Practical implementation of automated joint fault measuerment

Joint ID Methods Selection

• Curled-Edge

Page 28: Practical implementation of automated joint fault measuerment

Fault Computation

• Crop a profile segment

• Separate profile slices

• Least-square fits

• Compute faults

Page 29: Practical implementation of automated joint fault measuerment

Profile Slices

Page 30: Practical implementation of automated joint fault measuerment

Slicing and Fitting

-244.00

-242.00

-240.00

-238.00

-236.00

-234.00

-232.00

-230.00-1.5 -1 -0.5 0 0.5 1 1.5

Normalized Distance (m)

Elev

atio

n (m

m)

Profile Fitted Shape-Approach Fitted Shape-Leave

Faulting

150 mm

1219 mm 1219 mm

Page 31: Practical implementation of automated joint fault measuerment

Fault Computation

-244.00

-242.00

-240.00

-238.00

-236.00

-234.00

-232.00

-230.00-1.5 -1 -0.5 0 0.5 1 1.5

Normalized Distance (m)

Elev

atio

n (m

m)

Profile Fitted Shape-Approach Fitted Shape-Leave

Faulting

150 mm

1219 mm 1219 mm

Faulting

150 mm3” to 8.9”76 to 226 mm

Page 32: Practical implementation of automated joint fault measuerment

Fault Computation (cont’d)

0 0.5

Faulting

150 mm3” to 8.9”76 to 226 mm

Fault = Avg(Fault I = 1 to N)

Page 33: Practical implementation of automated joint fault measuerment

ProVAL AFM Inputs

Page 34: Practical implementation of automated joint fault measuerment

ProVAL AFM Joint ID

Page 35: Practical implementation of automated joint fault measuerment

ProVAL AFM Joint Faults

Page 36: Practical implementation of automated joint fault measuerment

ProVAL AFM Joint Faults

Page 37: Practical implementation of automated joint fault measuerment

ProVAL AFM Joint Faults Summary

Page 38: Practical implementation of automated joint fault measuerment

What’s Next

• ProVAL AFM Revision – March 2012

• AASHTO R36-12– Revision : March/April 2012

– Ballot : April/May 2012

– New Standard: Summer 2012

Page 39: Practical implementation of automated joint fault measuerment

Save Lives with ProVAL AFM

Page 40: Practical implementation of automated joint fault measuerment

Thank You !

Dr. George Chang, PETranstec Group

[email protected]