scholarly journals EVALUASI KERUSAKAN PERKERASAN LENTUR RUAS TOL JAKARTA-CIKAMPEK DAN ALTERNATIF PENANGANANNYA

2021 ◽  
Vol 4 (4) ◽  
pp. 837
Author(s):  
Hans Hendito ◽  
Anissa Noor Tajudin

The most common causes of road damage are the design life of the road that has been passed, waterlogging on the road due to poor drainage, or even traffic load which can cause the service life of the road to be shorter than planned. To find out the conditions on the Jakarta-Cikampek Toll Road. Calculates the value of road pavement conditions calculated using the Indeks Kondisi Perkerasan (IKP) on the Jakarta-Cikampek Toll Road. To find out what kind of treatment we should do for the damage that occurs. The Indeks Kondisi Perkerasan is a quantitative indicator of pavement conditions that has a range of values ranging from 0 – 100, with a value of 0 representing the worst pavement condition while 100 representing the best pavement condition. The IKP method has a level of handling type for each IKP value. According to the IKP guidelines, the type of handling that must be carried out with an average IKP value of 96,32 is routine maintenance. For further research, it’s necessary to conduct a direct survey, so that accurate results can be obtained. It is necessary to study with various methods to be able to compare the level of accuracy of a method. ABSTRAKPenyebab kerusakan jalan yang paling umum adalah umur rencana jalan yang telah dilewati, genangan air pada jalan yang diakibatkan drainase yang buruk, atau bahkan beban lalu lintas yang berlebihan yang dapat menyebabkan umur pakai jalan akan menjadi lebih pendek daripada perencanaannya. Untuk mengetahui kondisi pada jalan Tol Jakarta-Cikampek. Menghitung nilai kondisi perkerasan jalan jika dihitung dengan Indeks Kondisi Perkerasan (IKP) pada ruas Tol Jakarta-Cikampek. Untuk mengetahui penanganan seperti apa yang harus kita lakukan terhadap kerusakan yang terjadi. Kondisi Perkerasan atau IKP adalah indikator kuantitatif (numerik) kondisi perkerasan yang mempunyai rentang nilai mulai 0 – 100, dengan nilai 0 nya menyatakan kondisi perkerasan paling jelek sementara 100 menyatakan kondisi perkerasan terbaik. Metode IKP memiliki tingkat jenis penanganan tiap nilai IKP. Menurut pedoman IKP, jenis penanganan yang harus dilakukan dengan nilai IKP rata-rata 96,32 adalah pemeliharaan rutin. Untuk penelitian selanjutnya, perlu untuk survei secara langsung, supaya hasil yang didapat lebih maksimal. Perlu diteliti dengan metode yang beragam untuk dapat membandingkan tingkat keakuratan sebuah metode.

Author(s):  
Bayu Tirta Leksana Purnomo ◽  
Latif Budi Suparman ◽  
Agus Taufik Mulyono

<em>The development of infrastructure in Indonesia was increasing. The government focuses on boosting infrastructure development to create long-term economic growth. Therefore, a qualified infrastructure was a standard of an advanced rapidly economy. One of them is under construction was road and toll road infrastructure. As a result of the development was the occurrence of the increasing volume of vehicles on the road. Due to this resulting in an increased load reposition and also increased vehicle load on the road, it was then combined with a wet tropical climate or humid warm areas in Indonesia that have high rainfall and temperatures that can reach 38<sup>o</sup>C, resulting in structural damage such as cracks, rutting, stripping, and pothole. Performance from pavement also declined faster than the estimated plan. Roads in Indonesia mostly use the type of concrete asphalt mixture. Characteristics for concrete asphalt prioritize stability. In fact, the most important thing was the stability and durability of the road. Various ways can be done to overcome the road damage and acquire the ideal characteristics such as the use of added materials to Hot Mix Asphalt. To improve the performance of pavement characteristics, the use of added materials was expected to overcome problems that are affected by temperature, weather, increased vehicle volume, and increased traffic load. The added materials are to enhance Reacted and Activated Rubber (RAR) which was a developed crumb rubber to increase durability and keep the level of road pavement stability.</em>


2019 ◽  
Vol 14 (2) ◽  
pp. 1
Author(s):  
Dwina Archenita

Traffic is an important part of road pavement design in addition to subgrade strength. This is because traffic is a burden for the road and is very decisive in the thick planning of each layer of pavement. Thus the calculation of the traffic load should have been carried out before carrying out the design of the pavement. The Sicincin - Lubuk Alung ring road section located in Kab.Padang Pariaman is one of the road sections designed with pavement design. Therefore, a traffic survey was carried out on the road section. Traffic surveys are carried out for three days, two days on weekdays and one day on holidays. Every day the survey time is divided into three times, morning, afternoon and evening at rush hour. The survey in the morning takes place at 07:15 - 08:15 and 08:15 - 09:15 while in the afternoon it takes place at 13:00 - 14:00 and 14:00 - 15:00. Furthermore, for the afternoon survey, it will be held at 16:00 - 17:00 and 17:00 - 18:00. After processing the data, in each survey period the LHR value is obtained for both directions. The LHR value used for pavement design is the largest LHR value of all LHR values obtained.


2019 ◽  
Vol 14 (2) ◽  
pp. 24
Author(s):  
Liliwarti -

The subgrade is very important on road construction, because its functions for support the traffic loads. The subgrade is not able to bearing capacity the traffic load , can cause damage such as cracks, settlement,and deformation on the flexible pavement or rigid pavement. to solve in this problems, it is necessary to improve the mechanical properties of subgrade for increasing soil bearing capacity and reducing the swelling potential. The Sicincin ring road - Lubuk Alung, Padang Pariaman district which has deformed, settlement and cracks on the road pavement, caused by poor bearing capacity of the subgrade. To solve these problems, it is necessary to have the soil improvements (stabilization) for subgrade In this paper soil stabilization is done by mixing soil with lime and rice husk ash (variations in lime content of 5%, 8%, 11%, 14% and 17%) and rice husk ash (constant 2.5%) .The compaction test and CBR test is carried for each variation. The results in this study obtained the most optimal percentage of lime + rice husk ash is 11%, CBR design is 25%, and swelling value of 0.13%. CBR value of subgrade without lime and rice husk ash obtained CBR = 2.3%. So that there is a significantly increase in CBR value if using lime and rice husk ash as stabilization material for subgrade. These results can be used by experts to choose effective stabilization methods.


2021 ◽  
Vol 4 (3) ◽  
pp. 753
Author(s):  
Alpin Chayan Soeseno ◽  
Anissa Noor Tajudin

Daan Mogot street is part of the National Road Route One (1). Daan Mogot street (Section Number: 2000111) under study is a 2.5 KM two-way four-lane flexible pavement road, with a lane width of 3.5 m. The location chosen is the point of the worst congestion on Daan Mogot street, with the most road damage conditions. The purpose of this study is to analyze the condition of the road pavement and what treatment should we do for the damage on Daan Mogot street. The stages in this road pavement research are divided into 2 stages, firstly calculating the damage on the road, and choose alternative treatment using existing methods. The method used is the Pavement Condition Index (IKP) method and evaluates the handling of damage in the last 3 years. The result of the research is that the most damage is patch and hole damage, and the IKP value for each research unit can be seen that the pavement quality varies, from the level of Very Poor, Poor, Fair, Satisfactory, to Good. The average IKP value on Daan Mogot street in the direction of Tangerang from KM +14,000 to KM+16,500 is 87.09 with a Good condition class. ABSTRAKJalan Daan Mogot merupakan bagian dari Jalan Nasional Rute Satu (1). Jalan Daan Mogot (Nomor Ruas : 2000111) yang diteliti merupakan jalan dengan perkerasan lentur sepanjang 2,5 KM dua arah empat lajur, dengan lebar perlajur 3,5 m. Lokasi yang dipilih merupakan titik kemacetan terparah di Jalan Daan Mogot, dengan kondisi kerusakan jalan terbanyak. Tujuan penelitian ini untuk menganalisis kondisi perkerasan jalan dan penanganan apa yang harus kita lakukan terhadap kerusakan yang terjadi di Jalan Daan Mogot. Tahapan dalam penelitian perkerasan jalan ini dibagi menjadi 2 tahapan yaitu, pertama menghitung kerusakan yang ada di jalan tersebut, dan menentukan alternatif penanganan yang tepat dengan menggunakan metode-metode yang ada. Metode yang dipakai adalah metode Indeks Kondisi Perkerasan (IKP) dan melakukan evaluasi penanganan kerusakan dalam 3 tahun terakhir. Hasil penelitian yang diperoleh adalah kerusakan terbanyak ada pada kerusakan tambalan dan lubang, serta nilai IKP untuk masing masing unit penelitian dapat diketahui kualitas perkerasan beragam, dari tingkat Sangat Parah, Parah, Sedang, Baik, hingga Sangat Baik. Hasil rata-rata nilai IKP Jalan Daan Mogot arah Tangerang dari KM +14,000 s/d KM+16,500 adalah 87,09 dengan kelas kondisi Sangat Baik.


Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 3 ◽  
Author(s):  
Seunghyun Choi ◽  
Myungsik Do

In Korea, data on pavement conditions, such as cracks, rutting depth, and the international roughness index, are obtained using automatic pavement condition investigation equipment, such as ARAN and KRISS, for the same sections of national highways annually to manage their pavement conditions. This study predicts the deterioration of road pavement by using monitoring data from the Korean National Highway Pavement Management System and a recurrent neural network algorithm. The constructed algorithm predicts the pavement condition index for each section of the road network for one year by learning from the time series data for the preceding 10 years. Because pavement type, traffic load, and environmental characteristics differed by section, the sequence lengths (SQL) necessary to optimize each section were also different. The results of minimizing the root-mean-square error, according to the SQL by section and pavement condition index, showed that the error was reduced by 58.3–68.2% with a SQL value of 1, while pavement deterioration in each section could be predicted with a high coefficient of determination of 0.71–0.87. The accurate prediction of maintenance timing for pavement in this study will help optimize the life cycle of road pavement by increasing its life expectancy and reducing its maintenance budget.


Author(s):  
Kusumo Dradjad Sutjahjo ◽  
Firhan Yazid ◽  
Danang Eko Saputro

Semarang Toll Road  Section ABC is one of many toll roads that are traversed by transport vehicles with a load exceeding the permit limit, especially for vehicles originating from the Port of Tanjung Mas. These overloaded vehicles cause a decrease in pavement condition due to pavement damage on Semarang Section ABC Toll Road Section. This study aims to determine the magnitude of the impact of overload vehicles on the remaining life of the road by using overload vehicle detection from the Weight in Motion Bridge system. The method used in this study refers to Bina Marga Pd T-05-2005-B and AASHTO 1993. Based on the results of the analysis that has been done, it can be concluded that there is a decrease in residual life due to overloading vehicles for the year 2022 in Section A, Line A reaches conditions of 26.93% and 37,46%; Section B Line A achieves pavement failure; Section C of Line A reaches 44.65% and 38.33% conditions; Section A Lane B reaches 32.02%; Section B Lane B achieves failure pavement; and Section C of Line B reaching 54.42% and 40.70%.


2019 ◽  
Vol 19 (1) ◽  
pp. 63-73 ◽  
Author(s):  
B. V. Sobol ◽  
A. N. Soloviev ◽  
P. V. Vasiliev ◽  
L. A. Podkolzina

Introduction.Early defect illumination (cracks, chips, etc.) in the high traffic load sections enables to reduce the risk under emergency conditions. Various photographic and video monitoring techniques are used in the pavement managing system. Manual evaluation and analysis of the data obtained may take unacceptably long time. Thus, it is necessary to improve the conditional assessment schemes of the monitor objects through the autovision.Materials and Methods.The authors have proposed a model of a deep convolution neural network for identifying defects on the road pavement images. The model is implemented as an optimized version of the most popular, at this time, fully convolution neural networks (FCNN). The teaching selection design and a two-stage network learning process considering the specifics of the problem being solved are shown. Keras and TensorFlow frameworks were used for the software implementation of the proposed architecture.Research Results.The application of the proposed architecture is effective even under the conditions of a limited amount of the source data. Fine precision is observed. The model can be used in various segmentation tasks. According to the metrics, FCNN shows the following defect identification results: IoU - 0.3488, Dice - 0.7381.Discussion and Conclusions.The results can be used in the monitoring, modeling and forecasting process of the road pavement wear.


2021 ◽  
Vol 1125 (1) ◽  
pp. 012019
Author(s):  
Yosef Cahyo Setianto Poernomo ◽  
Sigit Winarto ◽  
Zendy Bima Mahardana ◽  
Dwifi Aprillia Karisma ◽  
Rekso Ajiono

2018 ◽  
Vol 1 (3) ◽  
pp. 667-678
Author(s):  
Mulyadi Mulyadi ◽  
Muhammad Isya ◽  
Sofyan M. Saleh

Abstract: Blangkejeren - Lawe Aunan road conditions overall is on the slopes of the mountains which is strongly influenced by local environmental factors such as drainage, topography, soil conditions, material conditions and vehicle load conditions across the road. It should be noted in order to avoid a decrease in the road quality due to road surface damage that can affect the traffic safety, comfort and smoothness.. Therefore, it is necessary to study the evaluation of the condition of the damaged road surface and the local factors that affect the damage in order to avoid a decrease in the roads quality. This study took place on Blangkejeren - Lawe Aunan roads started from Sta. 529 + 700 - Sta. 535 + 206. Generally, the condition of roads in this segment were found damage that disturb the comfort, smoothness and safety of the roads users. In this study, the primary data obtained by actual surveys in the form of data field length, width, area, and depth of each type of damage as well as local factors that lead to such damage. Actual field surveys conducted along the 5.506 km, with the distance interval of each segment is 100 m. The secondary data obtained from the relevant institutions and other materials related to this research. This study analyzed the PCI method (Pavement Condition Index) to obtain the level of damage in order to know how to handle, while for the identification of the damage done by observation factors descriptively appropriate observation in the field such as the number of damage points. The results of this study found that the type of damage caused to roads is damage to the cover layer, a hole, and curly. This type of damage that commonly occurs on the road Blangkejeren - Lawe Aunan is damage to the edges with a percentage of 87.30%. The local factors that greatly affect drainage on the percentage of damage is 62.00%. PCI average value is 13.47 which indicates a very bad condition (very poor) and requires maintenance or improvement of reconstruction.Abstrak: Kondisi jalan Blangkejeren – Lawe Aunan secara keseluruhan berada di lereng pegunungan sangat dipengaruhi oleh faktor lingkungan setempat seperti drainase, topografi, kondisi tanah, kondisi material dan kondisi beban kendaraan yang melintasi jalan tersebut. Hal ini perlu diperhatikan agar tidak terjadi penurunan kualitas jalan akibat kerusakan permukaan jalan sehingga dapat mempengaruhi keamanan, kenyamanan, dan kelancaran dalam berlalu lintas. Oleh karena itu, perlu dilakukan penelitian evaluasi terhadap kondisi permukaan jalan yang mengalami kerusakan serta faktor setempat yang mempengaruhi kerusakan tersebut agar tidak terjadi penurunan kualitas jalan. Penelitian ini mengambil lokasi di ruas jalan Blangkejeren – Lawe Aunan yang dimulai dari Sta. 529+700 - Sta. 535+206. Umumnya kondisi ruas jalan pada segmen ini banyak ditemukan kerusakan-kerusakan yang dapat mengganggu kenyamanan, kelancaran, dan keamanan pengguna jalan. Dalam penelitian ini data primer diperoleh dengan melakukan survei aktual lapangan yaitu berupa data panjang, lebar, luasan, dan kedalaman tiap jenis kerusakan serta faktor setempat yang mengakibatkan kerusakan tersebut. Survei aktual lapangan dilakukan sepanjang 5,506 km, dengan jarak interval setiap segmen adalah 100 m. Adapun data sekunder diperoleh dari lembaga terkait dan bahan lainnya yang berhubungan dengan penelitian ini. Penelitian ini dianalisis dengan metode PCI (Pavement Condition Index) untuk mendapatkan tingkat kerusakan agar diketahui cara penanganannya, sedangkan untuk identifikasi faktor kerusakannya dilakukan dengan pengamatan secara diskriptif sesuai hasil pengamatan di lapangan berupa jumlah titik kerusakan. Hasil penelitian ini didapatkan bahwa jenis kerusakan yang terjadi pada ruas jalan adalah kerusakan lapisan penutup, lubang, dan keriting. Jenis kerusakan yang umum terjadi pada ruas jalan Blangkejeren – Lawe Aunan adalah kerusakan tepi dengan persentase 87,30 %. Faktor setempat yang sangat mempengaruhi kerusakan adalah drainase dengan persentase 62,00%. Nilai PCI rata-rata yaitu 13,47 yang menunjukkan kondisi sangat buruk (very poor) dan memerlukan pemeliharaan peningkatan atau rekonstruksi.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Sudarno Sudarno ◽  
Lulut Fadhilah ◽  
Achmad Afif ◽  
Siti Nurobingatun ◽  
Heru Hariyadi ◽  
...  

<p>Abstrak. The Highway that connect Magelang Purworejo is one of the Collector roads in Central Java. Magelang-Purworejo’s Highway has a fairly high traffic load, based on a survey conducted by LHR in 2017 of 4392 vehicles. A high enough amount of LHR causes the road to damage the hair cracked. Based on the above, the thickness of the pavement or overlay is planned. This plan begins with a survey of the number of passing vehicles for twenty-four hours (LHR), then surveying the carrying capacity of ground using DCP tools, then measuring the skill of using digital teodholit. Then look for references and secondary data in the form of traffic growth, rainfall data and road class data. After all the data obtained then calculated the thickness of road pavement using the method of Bina Marga 1987. Based on these calculations obtained the required re-layer is 3 cm.</p><p><br />Key word: road pavement, overlay, dynamic cone penetrometer</p>


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