Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME design
Since AASHTO released the Mechanistic-Empirical Pavement Design Guide (MEPDG) for public review in 2004, many highway research agencies have performed sensitivity analyses using the prototype MEPDG design software. The information provided by the sensitivity analysis is essential for design engineer...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2017-04-01
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| Series: | Journal of Traffic and Transportation Engineering (English ed. Online) |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095756417300934 |
| _version_ | 1818344020238139392 |
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| author | Zhong Wu Xiaoming Yang Xiaohui Sun |
| author_facet | Zhong Wu Xiaoming Yang Xiaohui Sun |
| author_sort | Zhong Wu |
| collection | DOAJ |
| description | Since AASHTO released the Mechanistic-Empirical Pavement Design Guide (MEPDG) for public review in 2004, many highway research agencies have performed sensitivity analyses using the prototype MEPDG design software. The information provided by the sensitivity analysis is essential for design engineers to better understand the MEPDG design models and to identify important input parameters for pavement design. In literature, different studies have been carried out based on either local or global sensitivity analysis methods, and sensitivity indices have been proposed for ranking the importance of the input parameters. In this paper, a regional sensitivity analysis method, Monte Carlo filtering (MCF), is presented. The MCF method maintains many advantages of the global sensitivity analysis, while focusing on the regional sensitivity of the MEPDG model near the design criteria rather than the entire problem domain. It is shown that the information obtained from the MCF method is more helpful and accurate in guiding design engineers in pavement design practices. To demonstrate the proposed regional sensitivity method, a typical three-layer flexible pavement structure was analyzed at input level 3. A detailed procedure to generate Monte Carlo runs using the AASHTOWare Pavement ME Design software was provided. The results in the example show that the sensitivity ranking of the input parameters in this study reasonably matches with that in a previous study under a global sensitivity analysis. Based on the analysis results, the strengths, practical issues, and applications of the MCF method were further discussed. |
| first_indexed | 2024-12-13T16:39:50Z |
| format | Article |
| id | doaj.art-a8dd731dd46948afa88aa56dc730c16e |
| institution | Directory Open Access Journal |
| issn | 2095-7564 |
| language | English |
| last_indexed | 2024-12-13T16:39:50Z |
| publishDate | 2017-04-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Traffic and Transportation Engineering (English ed. Online) |
| spelling | doaj.art-a8dd731dd46948afa88aa56dc730c16e2022-12-21T23:38:18ZengKeAi Communications Co., Ltd.Journal of Traffic and Transportation Engineering (English ed. Online)2095-75642017-04-014218519710.1016/j.jtte.2017.03.006Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME designZhong Wu0Xiaoming Yang1Xiaohui Sun2Louisiana Transportation Research Center, Baton Rouge, LA 70808, USASchool of Civil and Environmental Engineering, Oklahoma State University, Stillwater, OK 74078, USALouisiana Transportation Research Center, Baton Rouge, LA 70808, USASince AASHTO released the Mechanistic-Empirical Pavement Design Guide (MEPDG) for public review in 2004, many highway research agencies have performed sensitivity analyses using the prototype MEPDG design software. The information provided by the sensitivity analysis is essential for design engineers to better understand the MEPDG design models and to identify important input parameters for pavement design. In literature, different studies have been carried out based on either local or global sensitivity analysis methods, and sensitivity indices have been proposed for ranking the importance of the input parameters. In this paper, a regional sensitivity analysis method, Monte Carlo filtering (MCF), is presented. The MCF method maintains many advantages of the global sensitivity analysis, while focusing on the regional sensitivity of the MEPDG model near the design criteria rather than the entire problem domain. It is shown that the information obtained from the MCF method is more helpful and accurate in guiding design engineers in pavement design practices. To demonstrate the proposed regional sensitivity method, a typical three-layer flexible pavement structure was analyzed at input level 3. A detailed procedure to generate Monte Carlo runs using the AASHTOWare Pavement ME Design software was provided. The results in the example show that the sensitivity ranking of the input parameters in this study reasonably matches with that in a previous study under a global sensitivity analysis. Based on the analysis results, the strengths, practical issues, and applications of the MCF method were further discussed.http://www.sciencedirect.com/science/article/pii/S2095756417300934Pavement designMEPDGSensitivity analysisMonte Carlo filtering |
| spellingShingle | Zhong Wu Xiaoming Yang Xiaohui Sun Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME design Journal of Traffic and Transportation Engineering (English ed. Online) Pavement design MEPDG Sensitivity analysis Monte Carlo filtering |
| title | Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME design |
| title_full | Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME design |
| title_fullStr | Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME design |
| title_full_unstemmed | Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME design |
| title_short | Application of Monte Carlo filtering method in regional sensitivity analysis of AASHTOWare Pavement ME design |
| title_sort | application of monte carlo filtering method in regional sensitivity analysis of aashtoware pavement me design |
| topic | Pavement design MEPDG Sensitivity analysis Monte Carlo filtering |
| url | http://www.sciencedirect.com/science/article/pii/S2095756417300934 |
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