Scientific Papers
Vol. 16 No. 28 (2014): Journal 28
Stochastic analysis of continuously reinforced concrete pavements
Abstract
Continuously reinforced concrete pavements are rigid pavements that are reinforced with steel bars in the longitudinal direction and are built without transverse joints. In this type of pavements it is important to control crack spacing and width, as well as the stress level in the steel bars so that these parameters remain within a range that will ensure good pavement performance.
Considering variability of material properties and slab thickness through a stochastic analysis may help optimize the design process and reduce uncertainty. The objectives of this study were to evaluate the design methodology for continuously reinforced concrete pavements using a probabilistic analysis and to evaluate the variability of the design parameters: crack spacing, crack width and steel stress. To accomplish these objectives, the variability of the material properties and slab thickness was included through the Monte Carlo simulation method for a case study.
References
- Applied Research Associates, Inc., ERES Consultants Division (2004). Guide for Mechanistic-Empirical Design of Pavement Structures, NCHRP Project 1-37A, National Cooperative Highway Research Program, Washington, D.C.
- Box G.E.P. & M.E. Müller. (1958) A Note on the Generation of Random Normal Deviates, The Annals of Mathematical Statistics, Vol. 29, No. 2 pp. 610-611.
- Harr, Milton E., (1987): Reliability-Based Design in Civil Engineering: McGraw-Hill, Inc.
- High Plains Regional Climate Center. (2006, 1 Febrero). http://hprcc.unl.edu.
- Huang, Y.H. (2004) Pavement Analysis and Design. Upper Saddle River, NJ: Pearson Prentice Hall.
- Laszlo Petho, ARRB Group Ltd., Australia (2012). Analysis Of The Stiffness Variability In Asphalt Layers Using The Monte Carlo Simulation. 25th ARRB Conference – Shaping the future: Linking policy, research and outcomes, Perth, Australia.
- Lu Sun, W. Ronald Hudson, P.E., and Zhanming Zhang (2003): Empirical-Mechanistic method based stochastic modelling of fatigue damage to predict flexible pavement cracking for transportation infrastructure management: Journal of Transportation Engineering, Vol. 129, No. 2, March 1, 2003.
- Samik Raychaudhuri, (2008): Introduction to Monte Carlo simulation: Proceedings of the 2008 Winter Simulation Conference Oracle Crystal Ball Global Business Unit 390 Interlocken Crescent, Suite 130 Broomfield, C.O. 80021, U.S.A.
- Timm, D.H., Newcomb, D.E., Birgisson, B., and Galambos, T.V., (1999): Incorporation of Reliability into the Minnesota Mechanistic-Empirical Pavement Design Method: Final Report, MN/RC-1999-35, Minnesota Department of Transportation.
Downloads
Download data is not yet available.