Observed evidence of subgrade moisture influence on pavement longitudinal profile

Author:

Bae Abraham1234,Stoffels Shelley M.1234,Antle Charles E.1234,Lee Seung Woo1234

Affiliation:

1. Louisiana Transportation Research Center, 4101 Gourrier Avenue, Baton Rouge, LA 70808, USA.

2. Civil Engineering, The Pennsylvania State University, 208 Sackett Building, University Park, PA 16802, USA.

3. Department of Statistics, The Pennsylvania State University, 2302 W. Branch Road, State College, PA 16801-8043, USA.

4. Department of Civil Engineering, Kangnung National University, 123 Jibyeon-Dong, Gangneung, Gangwon-Do, 210-702, Korea.

Abstract

The relationship between subgrade moisture parameters and pavement profile was explored for 34 asphalt pavements of the seasonal monitoring program (SMP) in the long-term pavement performance (LTPP) program. Volumetric moisture content was quantified in terms of the moisture index (MI), representing moisture as reasonably related to subgrade performance. Using power spectral density (PSD), roughness was evaluated in 21 individual wavebands. From statistical analysis, it was concluded that subgrade moisture significantly affects roughness in the wavebands of 14.9 to 31.2 m and 24.0 to 31.2 m for nonfreezing sites, and in the waveband of 14.9 to 24.0 m for freezing sites. At nonfreezing sites, as the magnitude and variation of moisture increase, pavement surface profile deteriorates quickly. At freezing sites, it was found that moisture variation by freezing contributes to roughness deterioration. Moreover, it was found that pavement thickness and the percent passing the top 0.002 mm of subgrade are significant factors accelerating roughness progression at nonfreezing and freezing sites, respectively.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Reference16 articles.

1. Bae, A. 2005. Speculation for correctness of moisture data in unbound layers in LTPP.InProceedings of the Pavement Performance Data Analysis Forum, TRB Data Analysis Working Group, 8 January 2005, Washington D.C. Transportation Research Board, National Research Council, Washington, D.C.

2. Bae, A. 2006. Observed effects of subgrade moisture parameters on pavement longitudinal profile characteristics. Ph.D. thesis, Department of Civil and Environmental Engineering, The Pennsylvania State University University Park, Pa.

3. Predicting Subgrade Moisture Content for Low-Volume Pavement Design Using In Situ Moisture Content Data

4. Predicting Pavement Deterioration Modes Using Waveband Analysis

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