0000000000700709

AUTHOR

Tien Fang Fwa

showing 1 related works from this author

An ANN model to correlate roughness and structural performance in asphalt pavements

2017

Abstract In this paper, using a large database from the Long Term Pavement Performance program, the authors developed an Artificial Neural Network (ANN) to estimate the structural performance of asphalt pavements from roughness data. Considering advantages of modern high-performance survey devices in the acquisition of road pavement functional parameters, it would be of practical significance if the structural state of a pavement could be estimated from its functional conditions. To differentiate various road section conditions, several significant input parameters, related to traffic, weather, and structural aspects, have been included in the analysis. The results are very interesting and …

Artificial Neural NetworkEngineering0211 other engineering and technologies020101 civil engineering02 engineering and technologySurface finishcomputer.software_genreCivil engineering0201 civil engineeringDeflection (engineering)021105 building & constructionLinear regressionSettore ICAR/04 - Strade Ferrovie Ed AeroportiAsphalt pavementGeneral Materials ScienceCivil and Structural EngineeringArtificial neural networkLTPPbusiness.industryBuilding and ConstructionStructural performanceAsphaltMaterials Science (all)Data miningRoughnebusinesscomputerArtificial Neural Network; Asphalt pavements; LTPP; Roughness; Structural performance; Civil and Structural Engineering; Building and Construction; Materials Science (all)Construction and Building Materials
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