Regional Sensitivity Analysis of the M-E Flexible Pavement Design Using the Monte Carlo Filtering Method

Xiaoming Yang, Zhong Wu

Research output: Contribution to book or proceedingChapter

1 Scopus citations

Abstract

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.
Original languageAmerican English
Title of host publicationProceedings of the Airfield and Highway Pavement Conference
DOIs
StatePublished - Jul 9 2013

Disciplines

  • Construction Engineering
  • Civil Engineering

Keywords

  • Filtering method
  • M-E flexible pavement design
  • Monte Carlo
  • Regional sensitivity analysis

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