A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Characterizing the Roughness Progression on Kansas Pavements: A Sequential Neuronet Approach
Roughness of Portland Cement Concrete (PCC) Pavements is affected by specific design features as well as materials, subgrade, traffic, and climatic conditions. In this study, a sequential Artificial Neural Network (ANN) approach was used to develop a time-dependent roughness prediction model Utilizing a two-stage training approach and through numerous training, testing, and validation processes, a three-layer (19-10-1) time-dependent ANN-based roughness prediction model was developed. The developed model produced output values that are close to the actual (measured) roughness IRI (International Roughness Index) values. Accordingly, it was able to project the time-dependant roughness behavior with a reasonably high R2 = 0.90.
Characterizing the Roughness Progression on Kansas Pavements: A Sequential Neuronet Approach
Roughness of Portland Cement Concrete (PCC) Pavements is affected by specific design features as well as materials, subgrade, traffic, and climatic conditions. In this study, a sequential Artificial Neural Network (ANN) approach was used to develop a time-dependent roughness prediction model Utilizing a two-stage training approach and through numerous training, testing, and validation processes, a three-layer (19-10-1) time-dependent ANN-based roughness prediction model was developed. The developed model produced output values that are close to the actual (measured) roughness IRI (International Roughness Index) values. Accordingly, it was able to project the time-dependant roughness behavior with a reasonably high R2 = 0.90.
Characterizing the Roughness Progression on Kansas Pavements: A Sequential Neuronet Approach
Najjar, Yacoub (author) / Felker, Victoria (author)
GeoCongress 2006 ; 2006 ; Atlanta, Georgia, United States
GeoCongress 2006 ; 1-6
2006-02-21
Conference paper
Electronic Resource
English
Characterizing the Roughness Progression on Kansas Pavements: A Sequential Neuronet Approach
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