Performance Acceptance and Performance Monitoring of Pavement Using Falling Weight Deflectometer (FWD) and International Roughness Index (IRI) [Brief]

Details

• Creators:
  Nantung, Tommy ; Cho, Seong-Hwan
• Corporate Creators:
  Joint Transportation Research Program (Ind.)
• Corporate Contributors:
  Purdue University/Indiana Department of Transportation JHRP ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Acceptance Falling Weight Deflectometers Monitoring Pavement Performance Roughness
• Resource Type:
  Brief
• Geographical Coverage:
  United States ; Indiana
• Corporate Publisher:
  Purdue University. Joint Transportation Research Program
• Abstract:
  The Indiana Department of Transportation (INDOT) utilizes the International Roughness Index (IRI) and Falling Weight Deflectometer (FWD) data to prioritize pavement maintenance across interstates, state roads, and U.S. highways. While IRI measures ride quality and FWD assesses structural integrity, their threshold values vary by road type, reflecting differing service expectations. Effective pavement maintenance requires a holistic approach, combining surface condition data from IRI with structural insights from FWD through predictive modeling. Additionally, these metrics should not only estimate service life but also provide indications of potential distress types, ensuring a comprehensive understanding of pavement performance and maintenance needs. The study employed a dual methodological approach that combined probabilistic and deterministic modeling techniques to evaluate pavement deterioration and predict performance across various road classifications. A Markov chain probabilistic model is utilized to analyze deterioration rates and assess the likelihood of pavements transitioning between condition states (e.g., Very Good to Poor) for each road category. In parallel, an empirical deterministic approach was applied to develop IRI-based prediction models, enabling cross-comparison of degradation trends and steady-state conditions derived from both methodologies. The deterministic approach further investigated the influence of initial IRI on pavement performance, emphasizing its critical role in maintaining functional performance within acceptable limits. Additionally, the remaining service life and life expectancy of pavements was estimated to establish terminal failure thresholds for different road categories. Finally, the study analyzed FWD data from various roads to predict maintenance priorities by establishing a correlation with IRI. The outcome of the study was the expected use of IRI and FWD data to support INDOT’s commitment to proactive pavement maintenance.
• Format:
  PDF
• Funding:
  SPR-3902
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:72274b4df116b53a7f29041bd0faaaeac948e9807d1cdde9acc2836c048dbd555c62ebd314e82b7303d978bdac10486e38daf4c6ecd2a54620634e353679f84b
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88341/dot_88341_DS1.pdf
• File Type:
  [PDF - 688.34 KB ]