TY - GEN
T1 - Regional sensitivity analysis of the M-E flexible pavement design using the Monte Carlo filtering method
AU - Yang, Xiaoming
AU - Wu, Zhong
N1 - The new Mechanistic-Empirical Pavement Design Guide (MEPDG) requires a large number of design input parameters. For a design agency, it is rational to focus on data collection of input parameters that are more influential to the design output. Sensitivity analyses help to identify these important input parameters.
PY - 2013
Y1 - 2013
N2 - The new Mechanistic-Empirical Pavement Design Guide (MEPDG) requires a large number of design input parameters. For a design agency, it is rational to focus on data collection of input parameters that are more influential to the design output. Sensitivity analyses help to identify these important input parameters. In the past, both local and global sensitivity analyses have been carried out. Different significance indicators have been used to rank the importance of the design input parameters. However, both local and global sensitivity analyses have limitations. In this study, an example of a regional sensitivity analysis (RSA) conducted on the new MEPDG design software (DARWin-ME) using the Monte Carlo filtering (MCF) method was presented. As demonstrated in this example, the presented RSA method is advantageous in identifying input parameters that are most influential to the designed pavement thickness using the MEPDG.
AB - The new Mechanistic-Empirical Pavement Design Guide (MEPDG) requires a large number of design input parameters. For a design agency, it is rational to focus on data collection of input parameters that are more influential to the design output. Sensitivity analyses help to identify these important input parameters. In the past, both local and global sensitivity analyses have been carried out. Different significance indicators have been used to rank the importance of the design input parameters. However, both local and global sensitivity analyses have limitations. In this study, an example of a regional sensitivity analysis (RSA) conducted on the new MEPDG design software (DARWin-ME) using the Monte Carlo filtering (MCF) method was presented. As demonstrated in this example, the presented RSA method is advantageous in identifying input parameters that are most influential to the designed pavement thickness using the MEPDG.
UR - http://www.scopus.com/inward/record.url?scp=84887398129&partnerID=8YFLogxK
U2 - 10.1061/9780784413005.036
DO - 10.1061/9780784413005.036
M3 - Conference article
SN - 9780784413005
T3 - Airfield and Highway Pavement 2013: Sustainable and Efficient Pavements - Proceedings of the 2013 Airfield and Highway Pavement Conference
SP - 456
EP - 464
BT - Airfield and Highway Pavement 2013
T2 - 2013 Airfield and Highway Pavement Conference: Sustainable and Efficient Pavements
Y2 - 9 June 2013 through 12 June 2013
ER -