Statistical Analysis of Stresses in Rigid Pavement
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.
[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.
[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.
@article{"International Journal of Architectural, Civil and Construction Sciences:50937", author = "Aleš Florian and Lenka Ševelová and Rudolf Hela", title = "Statistical Analysis of Stresses in Rigid Pavement", 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 = "concrete, FEM, pavement, simulation.", volume = "6", number = "3", pages = "217-5", }