Article
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A Simplified Calculation Model for Determining the Permanent Deformation of Soils Under Flexible Pavements Due to Repeated Traffic Load
Version 1
: Received: 30 August 2023 / Approved: 31 August 2023 / Online: 1 September 2023 (10:24:58 CEST)
A peer-reviewed article of this Preprint also exists.
Vamos, M.J.; Szendefy, J. Calculation Method for Traffic Load-Induced Permanent Deformation in Soils under Flexible Pavements. Geotechnics 2023, 3, 955-974. Vamos, M.J.; Szendefy, J. Calculation Method for Traffic Load-Induced Permanent Deformation in Soils under Flexible Pavements. Geotechnics 2023, 3, 955-974.
Abstract
The paper presents a simplified laminar model with which the deformation of soil layers (base, subbase and subgrade courses) under flexible pavements due to repeated traffic load can be determined. In the first step, the cyclic strain amplitude is calculated using a nonlinear material model that is based on particle size distribution parameters (d50 and CU) and dependent on the mean normal stress, relative density and actual strain level. In the second step, the HCA (High Cycle Accumulation) model is used to calculate the residual settlement of each sublayer as a function of the number of cycles. It is shown that the developed model is suitable for describing different types of subgrades and pavement cross-sections. It is also demonstrated with finite element calculations that the developed model describes both the elastic and plastic strains sufficiently accurately. The developed model can predict the settlement and rutting of pavement structures with sufficient accuracy based on easily available particle size distribution parameters without the need of complex laboratory and finite element tests.
Keywords
Permanent deformation; High-cycle accumulation model; Pavements; Engineer-oriented model; Rutting
Subject
Engineering, Civil Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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