Determination of Constructed Pavement Layer Thicknesses Using Nondestructive Testing (NDT)

Rister, Brad; Creech, Jamie; Ashurst, Kean H.

doi:10.13023/ktc.rr.2019.05

i

Determination of Constructed Pavement Layer Thicknesses Using Nondestructive Testing (NDT)

2019-04-01
By Rister, Brad ; Creech, Jamie ; Ashurst, Kean H.

File Language:

English

Details

Creators:

Rister, Brad ; Creech, Jamie ; Ashurst, Kean H.
Corporate Creators:

University of Kentucky Transportation Center
Corporate Contributors:

Kentucky Transportation Cabinet
Subject/TRT Terms:
Publication/ Report Number:

KTC-19-05/SPR17-539-1F
DOI:

https://doi.org/10.13023/ktc.rr.2019.05
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

University of Kentucky Transportation Center
Abstract:

Using nondestructive testing (NDT) to measure the thickness of pavement layers can improve the overall life of a new concrete and/or asphalt pavement. Conventional test methods require the extraction of a core from the pavement section to verify its thickness. Currently, two NDT technologies are commercially available which eliminate or reduce the need to core the existing pavement for thickness verification. The MIT-Scan-T2 (T2) utilizes magnetic pulse induction coupled with preset metal plates to obtain a thickness value. Measurements can be obtained quickly to an accuracy of +/– 2 mm. Ground Penetrating Radar (GPR) uses electromagnetic radiation to determine pavement layer thickness. However, GPR data need to be calibrated with an actual core during the post-processing phase to obtain the highest accuracy. Additionally, the dielectric properties of pavement sections being assessed with GPR must first stabilize to accurately measure thickness. Generally, stabilization occurs approximately 28 days after the initial placement of the pavement.
Format:

PDF
Funding:

SPR 17-539
Download URL:

https://rosap.ntl.bts.gov/view/dot/55554/dot_55554_DS1.pdf
File Type:

[PDF - 950.57 KB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:4b94ca5402fa0895c0a7f8402c8cc7bc9371dc0447a097232d07c538ea1ef598

File Language:

English

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