Remaining Service Life Prediction of Indiana Pavements Using Mechanistic Methods

Details

• Creators:
  Cho, Seonghwan ; Park, Bongsuk ; Zhang, Cheng ; Haddock, John E.
• Corporate Creators:
  Purdue University. Joint Transportation Research Program
• Corporate Contributors:
  Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Asphalt Data Analysis Falling Weight Deflectometers Finite Element Method Maintenance Maintenance Strategy Determination Mechanistic Design Pavement Functional Condition Pavement Structural Condition Pavement Structural Numbers Remaining Service Life Roughness Service Life

  More +
• Publication/ Report Number:
  FHWA/IN/JTRP-2025/10
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Indiana
• Edition:
  Final Report
• Corporate Publisher:
  Purdue University. Joint Transportation Research Program
• Abstract:
  Accurate remaining service life (RSL) prediction facilitates effective pavement maintenance strategies, extends service quality, and reduces costs. This study developed RSL prediction models for major distresses in INDOT pavement—including full-depth asphalt flexible, rigid, and composite pavement—using Falling Weight Deflectometer (FWD) and International Roughness Index (IRI) data. The structural and functional prediction models were developed based on the analysis of field data and finite element simulation results. All indicators of the structural prediction models could easily be obtained by processing raw FWD data. The IRI prediction models were developed for INDOT pavements using an enhanced approach for analyzing historical IRI databases. Consequently, the frameworks of maintenance strategy determination were developed using the RSL prediction models and the pavement condition estimation models were developed based on the FWD and IRI data for pavement assessment.
• Format:
  PDF
• Funding:
  SPR-4443
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1b8329962122d4ec74b6b1a8c5a8a0a26e46e120f57123434751c4fb5289fba47afe7b481512910b36081c2e4f16949b1b0542534e02ec6c1219a777a405619a
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88900/dot_88900_DS1.pdf
• File Type:
  [PDF - 17.80 MB ]