Effect of the input of structural parameters’ uncertainties and analysts’ arbitrary decisions on the results of backcalculated pavement materials’ resilient moduli

This study examines how uncertainties in the input of structural parameters and analysts’ decisions affect the estimated resilient moduli of pavement layers obtained through backcalculation. Three structures with varying asphalt layer thicknesses were created to predict deflectometric basins, using the falling weight deflectometer (FWD). Backcalculations were then performed with variations in layer thicknesses (within the 5% range), Poisson’s ratio of each layer, and seed moduli of each layer. This was repeated 60 times for each structure with randomized parameter variations. Resilient moduli from backcalculations were compared to reference structures, revealing relative errors. Statistical analysis showed uncertainties in layer thicknesses and that Poisson’s ratios impact backcalculation results by 3%–33%, depending on asphalt layer thickness. This variability could alter conclusions in pavement assessment. This is a case study with real deflectometric basins validated theoretical findings using field data.

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Institutions

Publication Details

Journal
Canadian Journal of Civil Engineering
Published
2025-06-17
DOI
https://doi.org/10.1139/cjce-2024-0256
Citations
1
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.95

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article

Effect of the input of structural parameters’ uncertainties and analysts’ arbitrary decisions on the results of backcalculated pavement materials’ resilient moduli

Lucas Feitosa de Albuquerque Lima Babadopulos, Evandro Parente, Juceline Batista dos Santos Bastos, J.R.M.S. Oliveira et al.
1 citations
Canadian Journal of Civil Engineering
Asphalt Pavement Performance Evaluation
0.95
article

Effect of the input of structural parameters’ uncertainties and analysts’ arbitrary decisions on the results of backcalculated pavement materials’ resilient moduli

Lucas Feitosa de Albuquerque Lima Babadopulos, Evandro Parente, Juceline Batista dos Santos Bastos, J.R.M.S. Oliveira, Samuel Silva, Lia Beatriz Gomes Furtado
article en
1 citations

Abstract

This study examines how uncertainties in the input of structural parameters and analysts’ decisions affect the estimated resilient moduli of pavement layers obtained through backcalculation. Three structures with varying asphalt layer thicknesses were created to predict deflectometric basins, using the falling weight deflectometer (FWD). Backcalculations were then performed with variations in layer thicknesses (within the 5% range), Poisson’s ratio of each layer, and seed moduli of each layer. This was repeated 60 times for each structure with randomized parameter variations. Resilient moduli from backcalculations were compared to reference structures, revealing relative errors. Statistical analysis showed uncertainties in layer thicknesses and that Poisson’s ratios impact backcalculation results by 3%–33%, depending on asphalt layer thickness. This variability could alter conclusions in pavement assessment. This is a case study with real deflectometric basins validated theoretical findings using field data.

Canadian Journal of Civil EngineeringVol. 52(9)
Universidade de Brasília (BR), Universidade Federal do Ceará (BR), Instituto Federal de Educação, Ciência e Tecnologia do Ceará (BR), Instituto Federal de Educação, Ciência e Tecnologia de Sergipe
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 25%
Asphalt Pavement Performance Evaluation
0.95
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