Deterioration Modeling of Flexible Pavements Based on As-Produced and As-Constructed Properties

Hosseini, Arash; Titi, Hani H.; Schwandt, Scot

doi:10.1061/jpeodx.0000372

Cited by 2 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of GEP over the last two decades has received significant research attention. GEP has been used in diverse subfields of pavement engineering such as the modelling of pavement performance (Hosseini, Faheem, Titi, & Schwandt, 2022), predicting parameters for pavement design (Tenpe & Patel, 2020), modelling pavement distresses (Hosseini et al, 2022;Leon & Gay, 2019), quantifying pavement strength (Yao, Leng, Jiang, Ni, & Zhao, 2021) for pavement maintenance decision, predicting flow numbers (Amir Hossein Gandomi, Alavi, Mirzahosseini, & Nejad, 2011), dynamic modulus (Eleyedath & Swamy, 2022;Liu, Yan, You, Liu, & Yan, 2017), fracture energy (Majidifard, Jahangiri, Buttlar, & Alavi, 2019) and rutting depth (Majidifard et al, 2021) of asphalt mixtures, predicting characteristics of foamed bitumen (Eleyedath, Kar, & Swamy, 2021) etc.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence-based gene expression programming (GEP) model for assessing sprayed seal performance

Tamanna

Shamsaei

Urquhart

et al. 2022

Road Materials and Pavement Design

View full text Add to dashboard Cite

This research predicts residual solvent (α), which is a key component of the performance assessment for a sprayed/chip seal. Solvent evaporation from the bituminous binder film of a sprayed seal is too complex and poorly understood to develop a model in a traditional way. In this study, conventional equations for α were assessed that showed prediction inefficiency (R 2 value as low as 0.82) under different experimental conditions. Accordingly, gene expression programming (GEP), an emerging branch in artificial intelligence, was utilised to resolve these difficulties by developing empirical models for α. The data required for model development was obtained from extensive laboratory tests conducted on bitumen-solvent binder films in this research. Model evaluation results showed an excellent degree of correspondence between predictions and experimental results (R 2 = 0.94). This is the first study to model a key component of sprayed seal performance using GEP. The model is recommended for pre-design purposes or as a tool to determine residual solvent in a sprayed seal when laboratory testing is not feasible, thereby saving time and expenditure.

show abstract