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Statistical Analysis of Stresses in Rigid Pavement

Authors: Aleš Florian, Lenka Ševelová, Rudolf Hela

Abstract:

Complex statistical analysis of stresses in concrete slab of the real type of rigid pavement is performed. The computational model of the pavement is designed as a spatial (3D) model, is based on a nonlinear variant of the finite element method that respects the structural nonlinearity, enables to model different arrangement of joints, and the entire model can be loaded by the thermal load. Interaction of adjacent slabs in joints and contact of the slab and the subsequent layer are modeled with help of special contact elements. Four concrete slabs separated by transverse and longitudinal joints and the additional subgrade layers and soil to the depth of about 3m are modeled. The thickness of individual layers, physical and mechanical properties of materials, characteristics of joints, and the temperature of the upper and lower surface of slabs are supposed to be random variables. The modern simulation technique Updated Latin Hypercube Sampling with 20 simulations is used for statistical analysis. As results, the estimates of basic statistics of the principal stresses s1 and s3 in 53 points on the upper and lower surface of the slabs are obtained.

Keywords: Simulation, Concrete, Pavement, FEM

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055873

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References:


[1] S. F. Wojtkiewicz, L. Khazanovich, G. Gaurav, and R. Velasquez, "Probabilistic Numerical Simulation of Pavement Performance using MEPDG," Road Materials and Pavement Design, vol. 11, no. 2, 2010, pp. 291-306.
[2] S. W. Lee, J. H. Jeong, and B. J. Chon, "Probabilistic Modelling of Pavement Joint Opening," Proc. of the Institution of Civ. Eng. Transport, vol. 163, no. 1, 2010, pp. 9-17.
[3] A. Florian, J. P─øn─ì├¡k, and S. Kar├ískov├í, "Computer Simulation of Cyclic-Load Triaxial Testing with Respect to Uncertainties in Input Parameters," Proc. of the ICOSSAR 2009, Osaka, Japan, 2009, pp. 3433-3438.
[4] M. McKay, R. J. Beckman, and W. J. Conover, "A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code," Technometrics, no. 2, 1979, pp. 239-245.
[5] A. Florian, "An Efficient Sampling Scheme: Updated Latin Hypercube Sampling," J. Probabilistic Engineering Mechanics, vol. 7, no. 2, 1992, pp. 123-130.
[6] A. Florian, "Optimization of parametric studies using Updated Latin Hypercube Sampling," Proc. of the ICOSSAR 2005, Rome, Italy, 2005, pp. 2319-2323.
[7] www.ansys.com
[8] A. Florian, and D. Novák, "The Statistical Model Selection for Random Variables," Engineering Workstations J., vol. 4, no. 3, 1988, pp. 158-162.