Resilient Modulus Prediction Models Based on Analysis of LTPP Data for Subgrade Soils and Experimental Verification

Resilient modulus (MR) value of a subgrade soil is the primary property needed for pavement design and analysis. It is the elastic modulus based on the recoverable strain under repeated loads, and depends on several factors including soil properties, soil type, and state of stresses. This paper presents prediction equations developed using regression analysis for six AASHTO soil types (A-1-b, A-3, A-2-4, A-4, A-6, and A-7-6) for estimating MR. Data extracted from the Long-Term Pavement Performance Information Management System (LTPP IMS) database for 258 test specimens (approximately 3,870 MR values) collected in 19 states in New England and the nearby regions in the United States and two provinces in Canada were used in this study. A generalized constitutive model that captures the effect of both bulk stress and octahedral shear stress was used to predict the MR of subgrade soils by developing regression equations that relate the k coefficients to the soil physical properties. The prediction models developed were verified for four types of soils collected in the New England region by independent laboratory MR tests. It was observed that MR values from the prediction models compared well with the laboratory values for the majority of the soil types.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Authors:
  • Malla, Ramesh B
  • 0000-0002-8035-8402
  • Joshi, Shraddha
• Publication Date: 2007-9

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 491-504
• Serial:
  • Journal of Transportation Engineering
  • Volume: 133
  • Issue Number: 9
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Experiments; Flexible pavements; Laboratory tests; Mathematical prediction; Modulus of resilience; Pavement performance; Properties of materials; Regression analysis; Soil types; Stresses; Subgrade (Pavements); Subgrade materials
• Geographic Terms: Canada; New England
• Subject Areas: Data and Information Technology; Design; Geotechnology; Highways; Materials; Pavements; I22: Design of Pavements, Railways and Guideways; I42: Soil Mechanics;

Filing Info

• Accession Number: 01076462
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Sep 21 2007 1:53PM