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A platform for research: civil engineering, architecture and urbanism
Monte Carlo Simulation for Flexible Pavement Reliability
Monte Carlo simulation is used to elucidate the relationship between reliability and safety factor in the AASHTO 86/93 flexible pavement design procedure, for any given level of variability in material properties and traffic. This relationship is found to be much more sensitive to variability in material properties, than to traffic variability. The methodology developed is simple to implement and leads to practical values of the elusive overall standard deviation, So, required in AASHTO 86/93 designs, in a manner responsive to prevailing variability levels. The success or failure of a flexible pavement is found to depend more on the accuracy of the predictions of the Office of Engineering, which is responsible for materials-related aspects of flexible pavement design, than to those pertaining to traffic, as provided by the Bureau of Statistics. Additional insights are extracted with respect to the recommended range of So, the effect of quality control, and the remaining life of a pavement beyond its design period.
Monte Carlo Simulation for Flexible Pavement Reliability
Monte Carlo simulation is used to elucidate the relationship between reliability and safety factor in the AASHTO 86/93 flexible pavement design procedure, for any given level of variability in material properties and traffic. This relationship is found to be much more sensitive to variability in material properties, than to traffic variability. The methodology developed is simple to implement and leads to practical values of the elusive overall standard deviation, So, required in AASHTO 86/93 designs, in a manner responsive to prevailing variability levels. The success or failure of a flexible pavement is found to depend more on the accuracy of the predictions of the Office of Engineering, which is responsible for materials-related aspects of flexible pavement design, than to those pertaining to traffic, as provided by the Bureau of Statistics. Additional insights are extracted with respect to the recommended range of So, the effect of quality control, and the remaining life of a pavement beyond its design period.
Monte Carlo Simulation for Flexible Pavement Reliability
Ioannides, Anastasios M. (author) / Tingle, Jeb S. (author)
International Airfield and Highway Pavements Conference 2021 ; 2021 ; Virtual Conference
2021-06-04
Conference paper
Electronic Resource
English
Monte Carlo Simulation for Flexible Pavement Reliability
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