NDT Technologies for Pavement Evaluation FHWA Directions and

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NDT Technologies for Pavement Evaluation: FHWA Directions and Initiatives H. Thomas Yu Office of

NDT Technologies for Pavement Evaluation: FHWA Directions and Initiatives H. Thomas Yu Office of Asset Management, Pavement, and Construction Federal Highway Administration

Content § Background § Status § Future

Content § Background § Status § Future

Background § Deployment of innovative technologies is an important mission of the Office of

Background § Deployment of innovative technologies is an important mission of the Office of Pavement Technology Ø Identify needs and opportunities Ø Deploy promising technologies § Focused on available, near market-ready technology § Emphasis area: NDT technologies for pavement evaluation

NDT for Pavement Evaluation Step-Frequency Ground-Penetrating Radar (SF-GPR) Ultra-Sonic Testing Device: MIRA

NDT for Pavement Evaluation Step-Frequency Ground-Penetrating Radar (SF-GPR) Ultra-Sonic Testing Device: MIRA

SF-GPR § Advantages Ø Wide detection range (0 to 20+ ft) Ø Full coverage

SF-GPR § Advantages Ø Wide detection range (0 to 20+ ft) Ø Full coverage of a lane in 2 passes Ø Continuous calibration Ø Insensitive to external interference § Potential Applications Ø Pavement layer thickness and structure Ø Feature detection (voids, objects) Ø Material property variations • HMA density variations • In consistencies in PCC mix • Material degradation Ø Moisture detection Ø Cover depth detection

History of SF-GPR Implementation § 2008 – field demonstration on a forensic evaluation §

History of SF-GPR Implementation § 2008 – field demonstration on a forensic evaluation § 2009 – equipment purchase, detailed evaluation, and validation testing § 2010 – development of data analysis algorithms § 2011 – refinements, validation, and field demonstrations; equipment upgrade § 2012 – equipment upgrade; demonstrations

SF-GPR – scan images Surface – no distress Layer interface showing inconsistent condition and

SF-GPR – scan images Surface – no distress Layer interface showing inconsistent condition and presence of water

SF-GPR Status § Several applications are ready for pilot implementation Ø Surface layer thickness

SF-GPR Status § Several applications are ready for pilot implementation Ø Surface layer thickness for construction QA Ø Pavement structure survey Ø Feature detection Ø Material property variations § SF-GPR could be customized for many applications Ø Automation of data processing can be achieved Ø Some expert interpretation will be needed, depending on the maturity of the application

MIT Scan T 2 targets

MIT Scan T 2 targets

MIT Scan-T 2 thickness vs. SF-GPR

MIT Scan-T 2 thickness vs. SF-GPR

Error Histogram (APE Measurement – MIT Mean) Day 1, First Lift, APE Test Run

Error Histogram (APE Measurement – MIT Mean) Day 1, First Lift, APE Test Run 1 -3σ -2σ -1σ 1σ 2σ 3σ Meanerror = 0. 02 inch 10 9 σ = 0. 04 inch 8 7 2σ = 0. 07 inch 6 5 3σ = 0. 11 inch 4 3 2 1 0 -0. 15 -0. 1 -0. 05 0. 1 Measurement Error (inches) 0. 15

APE Analysis Domains SF-GPR Data in Frequency Domain

APE Analysis Domains SF-GPR Data in Frequency Domain

Data processing Time Domain Data

Data processing Time Domain Data

Layer plot

Layer plot

Data visualization

Data visualization

Feature detection

Feature detection

Bridge approach slab

Bridge approach slab

Frequency -196 T+10 T+30 T+58 T+107 T+127 T+191 Begin Collection T - Time water

Frequency -196 T+10 T+30 T+58 T+107 T+127 T+191 Begin Collection T - Time water was added

HMA relative density Section 1 Section 2, 1 st half Section 2, 2 nd

HMA relative density Section 1 Section 2, 1 st half Section 2, 2 nd half

HMA relative density Section 1 Section 2, 1 st half Section 2, 2 nd

HMA relative density Section 1 Section 2, 1 st half Section 2, 2 nd half With interference filter

Summary § Several applications are well-suited for production work and are ready for pilot

Summary § Several applications are well-suited for production work and are ready for pilot implementation: Ø Surface layer thickness Ø HMA density variations (SHRP 2 R 06 C) Ø Rail-road ballast inspection Ø Pavement structure Ø Feature detection § FHWA Support Ø Demonstrations and participations in pilot implementations Ø Enhancements of data analysis and visualization tools