Analyzing pavements on lime-stabilized soils with artificial neural networks

Date

2007-12-01

Author

Pekcan, Onur
Thompson, M.r.

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Lime stabilization has been used as an improvement technique in the soft ground for many years. Pavements with lime-stabilized subgrades result in reduced deflections and improved critical pavement responses under applied wheel loading. ILLI-PAVE, a nonlinear finite element program for Advanced pavement analysis, was utilized in this study to model pavements on lime-stabilized soils and show benefits of lime stabilization. A wide range of material model parameters and pavement geometries was studied to obtain corresponding deflections and critical pavement responses. The results were used to create a database for developing artificial neural network (ANN) models and capturing the nonlinear relationship by means of the backpropagation algorithm. The developed ANN models worked as highly Effective and robust ILLI-PAVE surrogate solutions to investigate the effects of lime stabilization on deflection profiles and critical responses. Significant differences were found between responses of full depth pavements on unmodified subgrade and lime-stabilized subgrade.

Subject Keywords

Finite element method, Geologic models, Lime, Neural networks, Soil mechanics, Stabilization

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79952291662&origin=inward
https://hdl.handle.net/11511/77365

Conference Name

International Conference on Advanced Characterisation of Pavement and Soil Engineering Materials, (20 - 22 Haziran 2007)

Collections

Department of Civil Engineering, Conference / Seminar

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Citation Formats

O. Pekcan and M. r. Thompson, “Analyzing pavements on lime-stabilized soils with artificial neural networks,” Athens, Yunanistan, 2007, vol. 1, p. 587, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79952291662&origin=inward.