Abstract
PURPOSES : This research describes how to predict the life cycles of fatigue cracking based on NCHRP Report 704 as well as modifiedharmony search (MHS) algorithm.
METHODS : The fatigue cracking regression model of NCHRP Report 704 was used in order to calculate the ESAL (Equivalent SingleAxle Load) numbers up to pavement failure, based on using material parameters, composite modulus, and surface pavement thickness.
Furthermore, the MHS algorithm was implemented to find appropriate material parameters and other structural conditions given the number ofESALs, which is related to pavement service life.
RESULTS: The case studies show that the material and structural parameters can be obtained, resulting in satisfying the failure endurance ofasphalt concrete structure, given the number of ESALs. For example, the required ESALs such as one or two millions are targeted to satisfy theservice performance of asphalt concrete pavements in this study.
CONCLUSIONS : According to the case studies, It can be concluded that the MHS algorithm provides a good tool of optimizationproblems in terms of minimizing the difference between the required service cycles, which is a given value, and the calculated service cycles,which is obtained from the fatigue cracking regression model.
METHODS : The fatigue cracking regression model of NCHRP Report 704 was used in order to calculate the ESAL (Equivalent SingleAxle Load) numbers up to pavement failure, based on using material parameters, composite modulus, and surface pavement thickness.
Furthermore, the MHS algorithm was implemented to find appropriate material parameters and other structural conditions given the number ofESALs, which is related to pavement service life.
RESULTS: The case studies show that the material and structural parameters can be obtained, resulting in satisfying the failure endurance ofasphalt concrete structure, given the number of ESALs. For example, the required ESALs such as one or two millions are targeted to satisfy theservice performance of asphalt concrete pavements in this study.
CONCLUSIONS : According to the case studies, It can be concluded that the MHS algorithm provides a good tool of optimizationproblems in terms of minimizing the difference between the required service cycles, which is a given value, and the calculated service cycles,which is obtained from the fatigue cracking regression model.
| Translated title of the contribution | Analyzing the Fatigue Cracking and Maintenance of Asphalt Concrete Pavements, Based on Harmony Search Algorithm |
|---|---|
| Original language | Korean |
| Pages (from-to) | 115-120 |
| Number of pages | 6 |
| Journal | 한국도로학회논문집 |
| Volume | 16 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 2014 |