Chapter 17
Comparative Analysis of Flexible
Pavement Design Methods Using Fuzzy
PROMETHEE
Ibrahim Khalil Umar, Hüseyin Gökçeku¸ s, and Dilber Uzun Ozsahin¸ s
Abstract Various methods for flexible pavement design were developed over the
years ranging from empirical, mechanistic and the recently the mechanistic-empirical
method. In this paper seven different pavement design methods were studied and
each of the methods was used to determine the thickness of a flexible pavement.
Fuzzy PROMETHEE decision technique was used to identify the most suitable
method for designing the pavement. The criteria employed in the selection of the
best method for the pavement design includes pavement thickness obtained from the
design result, environmental consideration and pavement performance in the design
procedure, recommended design life, minimum strength requirement for subbase
and base material. Road Note 29 (RN29) was found to be the most preferred method
with HD26/01 been the second. HD26/01 will be recommended for design of new
road, since research proved total failure of the road pavements designed with RN29
after 20 years.
Keywords Subgrade · Flexible pavement · Axle load · Fuzzy PROMETHEE
I. K. Umar (B) · H. Gökçeku¸ s
Faculty of Civil and Environmental Engineering, Near East University, Nicosia, Turkish Republic
of Northern Cyprus, Turkey
e-mail: 20178443@std.neu.edu.tr
H. Gökçeku¸ s
e-mail: huseyin.gokcekus@neu.edu.tr
D. Uzun Ozsahin¸ s
DESAM Institute, Near East University, Nicosia, Turkish Republic of Northern Cyprus, Turkey
Department of Biomedical Engineering, Near East University, Nicosia, Turkish Republic of
Northern Cyprus, Turkey
Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah,
Sharjah, United Arab Emirates
D. Uzun Ozsahin¸ s
e-mail: dilber.uzunozsahin@neu.edu.tr
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
D. Uzun Ozsahin et al. (eds.), Application of Multi-Criteria Decision Analysis in
Environmental and Civil Engineering, Professional Practice in Earth Sciences,
https://doi.org/10.1007/978-3-030-64765-0_17
173
Comparative Analysis of Flexible
Pavement Design Methods Using Fuzzy
PROMETHEE
Ibrahim Khalil Umar, Hüseyin Gökçeku¸ s, and Dilber Uzun Ozsahin¸ s
Abstract Various methods for flexible pavement design were developed over the
years ranging from empirical, mechanistic and the recently the mechanistic-empirical
method. In this paper seven different pavement design methods were studied and
each of the methods was used to determine the thickness of a flexible pavement.
Fuzzy PROMETHEE decision technique was used to identify the most suitable
method for designing the pavement. The criteria employed in the selection of the
best method for the pavement design includes pavement thickness obtained from the
design result, environmental consideration and pavement performance in the design
procedure, recommended design life, minimum strength requirement for subbase
and base material. Road Note 29 (RN29) was found to be the most preferred method
with HD26/01 been the second. HD26/01 will be recommended for design of new
road, since research proved total failure of the road pavements designed with RN29
after 20 years.
Keywords Subgrade · Flexible pavement · Axle load · Fuzzy PROMETHEE
I. K. Umar (B) · H. Gökçeku¸ s
Faculty of Civil and Environmental Engineering, Near East University, Nicosia, Turkish Republic
of Northern Cyprus, Turkey
e-mail: 20178443@std.neu.edu.tr
H. Gökçeku¸ s
e-mail: huseyin.gokcekus@neu.edu.tr
D. Uzun Ozsahin¸ s
DESAM Institute, Near East University, Nicosia, Turkish Republic of Northern Cyprus, Turkey
Department of Biomedical Engineering, Near East University, Nicosia, Turkish Republic of
Northern Cyprus, Turkey
Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah,
Sharjah, United Arab Emirates
D. Uzun Ozsahin¸ s
e-mail: dilber.uzunozsahin@neu.edu.tr
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
D. Uzun Ozsahin et al. (eds.), Application of Multi-Criteria Decision Analysis in
Environmental and Civil Engineering, Professional Practice in Earth Sciences,
https://doi.org/10.1007/978-3-030-64765-0_17
173