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Comparative Analysis Of Flexible Pavement Damage Models Between MDPJ 2024 And Asphalt Institute And AASHTO MEPDG Pasaribu, Kevin Briant; Rahman, Taqia; Suparma, Latif Budi
Jurnal Multidisiplin Indonesia Vol. 4 No. 7 (2025): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jmi.v4i7.2565

Abstract

Reliable road infrastructure is crucial for the economy. However, high traffic loads can accelerate damage to flexible pavements, primarily fatigue cracking and permanent deformation (rutting). This study evaluates the performance of pavement structures designed according to the Indonesian Pavement Design Manual (MDPJ) 2024 by comparing its damage predictions against international methods, namely the Asphalt Institute and AASHTO MEPDG, across various road classifications. Through mechanistic simulation using KENPAVE, the resulting strain values were used as input to predict the number of allowable load repetitions (ESAL) until failure occurs. The results show that all three methods consistently identify fatigue cracking as the critical damage type that occurs before rutting. However, there are significant differences in the magnitude of the predicted ESAL values. The Asphalt Institute method is the most conservative, producing the lowest fatigue cracking ESAL, while AASHTO MEPDG predictions are closer to, yet still lower than, the most optimistic predictions of MDPJ 2024. Therefore, this study concludes that further calibration of the MDPJ 2024 model with actual field data is essential to improve the accuracy of service life predictions for pavements in Indonesia.
ANALISIS PERBANDINGAN MODEL KERUSAKAN PERKERASAN LENTUR ANTARA MDPJ 2024 SERTA ASPHALT INSTITUTE DAN AASHTO MEPDG Pasaribu, Kevin Briant; Rahman, Taqia; Suparma, Latif Budi
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Flexible pavement plays a critical role in supporting economic growth and connectivity. However, overloading heavy vehicles accelerates structural damage such as fatigue cracking and rutting. This study aims to compare the damage prediction models of the 2024 Manual Desain Perkerasan Jalan (MDPJ), Asphalt Institute, and AASHTO MEPDG using KENPAVE simulation across four road classifications in Indonesia. A quantitative descriptive method was employed, analyzing design data from MDPJ 2024, with purposive sampling representing varied traffic loads. KENPAVE software provided horizontal and vertical strain outputs essential for damage calculations via transfer functions of the three models. Results indicated that MDPJ 2024 predicts higher Equivalent Single Axle Load (ESAL) values for fatigue cracking and rutting than international methods, showing optimistic durability estimations. However, differences in permanent deformation predictions, especially compared to AASHTO MEPDG, suggest the need for local calibration. The study concludes that while all models identify fatigue cracking as the dominant failure mode, calibration with field data is essential to validate predictions and optimize pavement design. Future research should focus on empirical validation and environmental factors to improve the national design standards. These findings support enhancing pavement life and cost-efficiency for Indonesia's infrastructure management.