Finite Element Method for predicting rutting depth of steel deck asphalt pavement based on Accelerated Pavement Test

DOI

10.2991/icmeis-15.2015.177How to use a DOI?

Keywords

steel deck pavement; rutting; Accelerated Pavement Test; Finite Element Method.

Abstract

Rutting is one of the most challenging and important distresses in steel deck pavement. The prediction of rutting depth is considered to be one of the most complex issues in pavement engineering. In this study, a large piece of linear track accelerated loading facility MLS66 was used to conduct the test on rutting at temperature 60 . To predict the behaviors of steel deck pavement, three-dimension FE model of the bridge is used in simulation. The time-hardening version of power-law model is used to investigate the rutting behaviors of steel deck pavement. A uniaxial compression creep test was applied to research on the creep characteristics of two adopted paving materials at temperature 60 . According to the test results, the nonlinear curve fitting software of OriginPro 8.0 is used to obtain the creep parameters based on power law creep model. Then, immediate and statistical loading is adopted for FE prediction instead of moving loading. Comparisons of the FE prediction with the results of full-scale testing have been presented, and fairly good results have been obtained.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wen-ke Huang
AU  - Xiao-ning Zhang
AU  - Hong-liu Rong
AU  - Bo Chen
PY  - 2015/08
DA  - 2015/08
TI  - Finite Element Method for predicting rutting depth of steel deck asphalt pavement based on Accelerated Pavement Test
BT  - Proceedings of the 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015)
PB  - Atlantis Press
SP  - 935
EP  - 942
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeis-15.2015.177
DO  - 10.2991/icmeis-15.2015.177
ID  - Huang2015/08
ER  -