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Title:

Investigation of Slab Curvature in LTPP SPS-2 Experiment Using Empirical Mode Decomposition of Pavement Profilometer Data

Accession Number:

01622450

Record Type:

Component

Abstract:

The concept of built-in curl is uniformly accepted in the research community as an important characteristic of the pavement structure. To this end, the AASHTO M-E procedure considers built-in curl as a parameter in its rigid design, and the procedure is very sensitive to this parameter. Prior research has used slab curvature to estimate the built-in curl parameter. The authors follow on this research in the development of analytical tools to infer slab profile directly from profilometer data. The developed tools represent an automated empirical mode decomposition (EMD) process contained within the Hilbert-Huang Transform (HHT). These tools were then applied to profilometer data from the Long-Term Pavement Performance (LTPP) database. It was found that slab profile could be recovered for LTPP projects; for these projects, the slab profiles could be correlated with built-in curl over the pavement life. The application of these tools presents a promising first step in the extension of profilometer data beyond performance measures (i.e., smoothness) and into areas that directly influence the mechanistic-empirical modelling of the pavement structure.

Supplemental Notes:

This paper was sponsored by TRB committee AFD90 Standing Committee on Pavement Surface Properties and Vehicle Interaction.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-01360

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Tompkins, Derek
Franta, Dan
Khazanovich, Lev
Hoegh, Kyle

Pagination:

17p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Pavements

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-01360

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:26AM