Remaining Life of Flexible Pavement at Pulang Pisau – Pangkoh Road, Central Kalimantan

Siswoyo Siswoyo, Soerjandani Priantoro Machmoed, Akbar Bayu Kresno Suharso

Abstract


The condition of the road pavement is an important aspect in terms of determining road maintenance and repair activities. In order to evaluate the condition of the road pavement, it is first necessary to determine the type of damage, the cause, and the extent of the damage that has occurred. Construction of a road that is not accompanied by good maintenance will cause various kinds of problems. Many district/city road pavements in Central Kalimantan have suffered damage as a result of repeated traffic loads, in line with increasing economic growth in these areas, including one of them on the Pulang Pisau – Pangkoh Road Section as far as ± 57.5 Km which is located in Pulang Pisau Regency, Central Kalimantan Province. So that on this road research will be carried out on the remaining existing road services to be able to provide alternative solutions for handling existing road problems and also budget plans. The method used in this study is using a FWD (Falling Weight Deflextometer) to determine the condition of the road structure. In addition, to find out how to handle it, this study used the 2017 Pavement Design Manual. Comprehensive road survey vehicles typically consist of a FWD mounted on a heavy truck together with a ground-penetrating radar and impact attenuator. The results obtained from this study are the remaining life of the Pulang Pisau – Pangkoh road section of 17% x UR (about 3-4 years). For its handling, it uses a flexible pavement overlay which was previously covered with selected fill and requires a cost of Rp. 243.905.730.000,- or Rp. 6.097.643.250,- per Km.

Keywords


Remaining Life; Road Pavement; FWD; Road Maintenance; Traffic

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References


Abdelaziz N, Abd El-Hakim R, El-Badawy S, Afify H. International Roughness Index prediction model for flexible pavements. Int J Pavement Eng. 2018 Mar 5;21:1–12.

Hasibuan RP, Surbakti MS. Study of Pavement Condition Index (PCI) relationship with International Roughness Index (IRI) on Flexible Pavement. MATEC Web Conf [Internet]. 2019;258:1–5. Available from: https://doi.org/10.1051/matecconf/20192

Rifai M, Setyawan A, Handayani FS, Arun AD. Evaluation of functional and structural conditions on flexible pavements using pavement condition index ( PCI ) and international roughness index ( IRI ) methods. 2023;05011.

Suharso ABK, Jayani HPEM, Khatulistiani U. Perencanaan Perkerasan Kaku Jalan Tol Serang Panimbang Banten Menguunakan Metode PCA. Extrapolasi. 2023;20(01):1–15.

Suharso ABK, Ahyudanari E. Demand analysis at Tanah Grogot Airport East Kalimantan. 2020;

Hoffmann M, Donev V. Reliable estimation of investment and life-cycle costs from road projects to single road assets. Life-Cycle Struct Infrastruct Syst. 2023;(July):3284–91.

Buttitta G, Giancontieri G, Parry T. Modelling the Environmental and Economic Life Cycle Performance of Maximizing Asphalt Recycling on Road Pavement Surfaces in Europe. 2023;

Pérez-Acebo H, Gonzalo-Orden H, Findley DJ, Rojí E. Modeling the international roughness index performance on semi-rigid pavements in single carriageway roads. Constr Build Mater [Internet]. 2021;272:121665. Available from: https://www.sciencedirect.com/science/article/pii/S0950061820336692

Prasad JR, Kanuganti S, Bhanegaonkar PN, Sarkar AK, Arkatkar S. Development of Relationship between Roughness (IRI) and Visible Surface Distresses: A Study on PMGSY Roads. Procedia - Soc Behav Sci [Internet]. 2013;104:322–31. Available from: https://www.sciencedirect.com/science/article/pii/S1877042813045163

Golov E, Evtyukov S, Protsuto M, Evtyukov S, Sorokina E. Influence of the road surface roughness (according to the International Roughness Index) on road safety. Transp Res Procedia [Internet]. 2022;63:999–1006. Available from: https://www.sciencedirect.com/science/article/pii/S2352146522003544

Setyawan A, Nainggolan J, Budiarto A. Predicting the Remaining Service Life of Road Using Pavement Condition Index. Procedia Eng [Internet]. 2015;125:417–23. Available from: https://www.sciencedirect.com/science/article/pii/S1877705815034256

Hossain MI, Gopisetti LSP, Miah MS. International Roughness Index Prediction of Flexible Pavements Using Neural Networks. J Stomatol. 2019 Mar 1;145.

Suharso ABK. Evaluasi Tingkat Pelayanan Simpang Tak Bersinyal Jalan Kapten Robani Kadir - Jalan Kapten Abdullah – Jalan Selatan Kota Palembang. 2023;1(2):48–52.




DOI: http://dx.doi.org/10.12962/j20861206.v38i3.19460

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