VALIDITY OF GARBER MODEL IN PREDICTING PAVEMENT CONDITION INDEX OF FLEXIBLE PAVEMENT IN KERBALA CITY

2018 ◽  
Vol 09 (02) ◽  
pp. 139-151
Author(s):  
Hussein Ewadh ◽  
◽  
Raid Almuhanna ◽  
Saja Alasadi ◽  
◽  
...  
Keyword(s):  
Condition Index ◽  
Flexible Pavement ◽  
Pavement Condition ◽  
Pavement Condition Index

scholarly journals Development of Regression Models for Predicting Pavement Condition Index from the International Roughness Index

2020 ◽  
Vol 26 (12) ◽  
pp. 81-94
Author(s):  
Muataz Safaa Abed
Keyword(s):  
Regression Models ◽  
Essential Element ◽  
Condition Index ◽  
Flexible Pavement ◽  
Transportation Infrastructure ◽  
International Roughness Index ◽  
Pavement Condition ◽  
Roughness Index ◽  
Pavement Condition Index ◽  
Quadratic Models

Flexible pavements are considered an essential element of transportation infrastructure. So, evaluations of flexible pavement performance are necessary for the proper management of transportation infrastructure. Pavement condition index (PCI) and international roughness index (IRI) are common indices applied to evaluate pavement surface conditions. However, the pavement condition surveys to calculate PCI are costly and time-consuming as compared to IRI. This article focuses on developing regression models that predict PCI from IRI. Eighty-three flexible pavement sections, with section length equal to 250 m, were selected in Al-Diwaniyah, Iraq, to develop PCI-IRI relationships. In terms of the quantity and severity of each observed distress, the pavement condition surveys were conducted by actually walking through all the sections. Using these data, PCI was calculated utilizing Micro PAVER software. Dynatest Road Surface Profiler (RSP) was used to collect IRI data of all the sections. Using the SPSS software, linear and nonlinear regressions have been used for developing two models between PCI and IRI based on the collected data. These models have the coefficients of determination (R2) equal to 0.715 and 0.722 for linear and quadratic models. Finally, the results indicate the linear and quadratic models are acceptable to predict PCI from IRI directly.

scholarly journals EVALUASI PENILAIAN PERKERASAN JALAN DENGAN METODE PAVEMENT CONDITION INDEX (PCI) (STUDI KASUS RUAS JALAN GAJAH MADA DAN SOROGO KEC. CEPU)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hariyanto Hariyanto
Keyword(s):  
Condition Index ◽  
Flexible Pavement ◽  
Pavement Condition ◽  
Pavement Condition Index

<strong>Ruas  jalan  Gajah  Mada  dan  Sorogo  merupakan  akses  menuju  dua perguruan tinggi serta akses menuju instansi pertamina di kota Cepu yang menggunakan perkerasan lentur (<em>flexible pavement</em>). Berbagai kendaraan berat dan ringan melewati ruas jalan tersebut sehingga menyebabkan terjadinya kerusakan jalan. Evaluasi kondisi kerusakan jalan sangat perlu dilakukan untuk monitoring seberapa tingkat kerusakan jalan yang terjadi pada suatu ruas jalan. Penelitian ini bertujuan untuk mengetahui tingkat kerusakan yang terjadi, serta menentukan jenis penanganan kerusakan jalan yang sesuai.Metode yang dipakai dalam penilaian kondisi kerusakan perkerasan jalan ini adalah metode PCI (Pavement Condition  Index), melakukan  survei  secara visual dengan cara melihat dan menganalisis kerusakantersebut berdasarkan jenis, tingkat kerusakaannya serta kuantitas kerusakan untukdigunakan sebagai dasar dalam melakukan kegiatan pemeliharaan dan perbaikan.Cara menganalisanya dengan membagi ruas jalan dalam sampel seluas ±50 m2,menghitung densitas, mencari <em>deduct value </em>pada grafik lalu menghitung <em>PavementConditional Index (PCI).</em>Hasil  evaluasi  penelitian  kondisi  ruas  jalan  Gajah  Mada  dan  Sorogo dengan metode PCI diperoleh kerusakan lubang (1,21%), retak kulit buaya (10,19%), retak pinggir (7,94%), retak memanjang dan melintang (7,45%), bergelombang  (8,1%),  amblas(1,7%),  bahu  jalan  turun(7,1%),  pelapukan  dan butiran lepas (3,25%), dan alur (15,93%), pengelupasan (2,25%), benjol &amp; turun (0,9%),  retak  berkelok  (3,2%),  dan  mengembang  (1,1%).  Dengan  nilai  PCI sebesar 80 untuk ruas jalan Gajah Mada dan 78 untuk ruas jalan Sorogo.</strong>

scholarly journals Study of Flexible Pavement Structure Maintenance in Runways with Pavement Condition Index (PCI) Method

2020 ◽  
Vol 27 (1) ◽  
pp. 25
Author(s):  
Meilinda Atika Rachman ◽  
Harmein Rahman ◽  
Bambang Sugeng Subagio ◽  
Sri Hendarto
Keyword(s):  
Condition Index ◽  
Flexible Pavement ◽  
Pavement Condition ◽  
Pavement Condition Index ◽  
Pavement Structure

scholarly journals DEVELOPMENT OF PROGRAM IN C++ FOR ANALYSIS OF NSV SURVEY DATA BY PCI METHOD FOR FLEXIBLE PAVEMENT

2019 ◽  
Vol 31 (3) ◽  
Author(s):  
Soumadeep Bagui ◽  
Swapan Kumar Bagui ◽  
Anukul Saxena
Keyword(s):  
Road Network ◽  
Design Procedure ◽  
Condition Index ◽  
Flexible Pavement ◽  
Regression Equations ◽  
Pavement Condition ◽  
C Language ◽  
Pavement Condition Index ◽  
Future Requirement

This paper presents the development of software in C++ Language for the determination of Pavement Condition Index (PCI) based on the design procedure mentioned in ASTM D 4433 and future requirement of maintenance of existing road /road network. Presently in India, Manual Pavement Condition survey has been replaced by automated Network Survey Vehicle (NSV). PCI procedure mentioned in ASTM D 4433 which needs uses of several curves and same curves have been converted in regression equations. These equations are used to prepare a Program in C++ Language. This will be useful for Pavement Engineer to determine PCI and maintenance strategy.

scholarly journals Identifikasi Kerusakan Perkerasan Lentur Pada Ruas Jalan Soekarno – Hatta, Palembang

2020 ◽  
Vol 20 (01) ◽  
pp. 19-26
Author(s):  
Muhammadiya Rifqi ◽  
Heni Fitriani
Keyword(s):  
Surface Damage ◽  
Condition Index ◽  
Flexible Pavement ◽  
Road Surface ◽  
Survey Method ◽  
Pavement Condition ◽  
The Road ◽  
Road Section ◽  
Pavement Condition Index ◽  
The City

[IN] Ruas Jalan Soekarno-Hatta kota Palembang merupakan Jalan Nasional yang berkelas Jalan Arteri Primer yang dilapisi dengan perkerasan lentur (flexible pavement). Jalan yang diamati dari Simpang Empat fly over Tanjung Api-Api hingga Simpang Empat Macan Lindungan  memiliki panjang 8,45 kilometer. Saat itu kota Palembang sedang menggenjot pembangunan proyek venue dan LRT guna menyukseskan perhelatan olahraga Asian games. Ruas Jalan Soekarno-Hatta Palembang digunakan sebagai aktivitas lalulintas kendaraan proyek akibatnya terjadi peningkatan volume kendaraan dan kepadatan lalulintas yang tak terkendali, sehingga dikhawatirkan berdampak pada kualitas perkerasan jalan tersebut. Tujuan Penelitian ini adalah untuk mengidentifikasi kerusakan permukaan perkerasan lentur jalan dengan menggunakan metode PCI (Pavement Condition Index). Survei metode PCI dilakukan secara visual berdasarkan jenis dan tingkat kerusakan jalan dengan penilaian numerik antara nol (gagal) hingga seratus (sempurna). Hasil identifikasi kerusakan permukaan jalan menunjukkan bahwa kerusakan yang terjadi pada ruas jalan tersebut sebanyak tujuh jenis yaitu kegemukan, amblas, keriting, pelepasan butiran, retak kulit buaya serta tonjolan dan lengkungan. Jumlah unit sampel segmen jalan yang mengalami kerusakan sebanyak 17 unit sampel dari total yang diteliti 68 unit sampel dengan nilai rata-rata PCI didapatkan sebesar 95,655 artinya jalan tersebut dengan kondisi “Sempurna”. Meskipun ruas jalan tersebut tergolong sempurna secara kondisi, akan tetapi masih terdapat kerusakan yang terjadi pada ruas tersebut, untuk itu perlu dilakukan pemeliharaan jalan pada unit sampel yang rusak sehingga dapat menjaga kualitas serta umur layak ruas jalan tersebut. [EN] The Soekarno-Hatta Road section of the city of Palembang is a classy National Road of the Primary Arterial Road that is equipped with flexible pavement. The road chosen from Simpang Empat fly over Tanjung Api-Api to Simpang Empat Macan Lindungan has a length of 8.45 kilometers. At present the city of Palembang is being promoted by a construction site and LRT project to succeed in the sporting event Asian games. The Soekarno-Hatta Palembang Road Section is used as a project vehicle traffic activity resulting in an increase in vehicle volume and uncontrolled traffic density, so it is feared to have an impact on the quality of the pavement. The purpose of this study was to identification road surface damage using the PCI (Pavement Condition Index) method. PCI survey method is carried out  visually based on the type and severity level of road damage with a numerical rating between zero (failed) to one hundred (excellent). The results of identification of road surface damage showed that there were 7 types of damage that occurred on the road section namely bleeding, depression, corrugation, weathering and raveling, potholes, alligator cracking, and bumps and sags. The number of sample units of the road segment that suffered damage as many as 17 sample units of the total studied by 68 units samples with an average value of PCI obtained by 95,655, This means that the road with the condition "excellent". Even though the road is classified as excellent, but damage is still needed in that section, for this reason it is necessary to maintain the road on the damaged sample unit so that it can be used at a reasonable quality for the life of the road section.

scholarly journals ANALISIS KERUSAKAN LANDAS PACU BANDAR UDARA DENGAN METODE PCI DAN PERBAIKANNYA

2021 ◽  
Vol 3 (1) ◽  
pp. 57-63
Author(s):  
Lahun Wahidah ◽  
Retno Ligina Ayu ◽  
Eko Wiyono
Keyword(s):  
Total Sample ◽  
Condition Index ◽  
Flexible Pavement ◽  
Standard Test ◽  
Test Method ◽  
Milling Machine ◽  
Pavement Condition ◽  
Standard Test Method ◽  
Airport Pavement ◽  
Pavement Condition Index

One method aimed to know the condition of the pavement runway on an airport is pavement condition index (PCI). This method has three parameters, type damage, severity damage, and the number of damage or density. In this research, the assessment of PCI is done on a runway (flexible pavement) at one of the airports in Jakarta with a broad 3000 m x 45 m. PCI’s value is gained by following a method from ASTM D 5340-98 (Standard Test Method for The Airport Pavement Condition Index Surveys) from all total sample. The research obtained shows that runway airports have an average of 75,59 (very good). Consisting of excellent as many as 138 sample (38 %), very good as many as 102 sample (28 %), good 60 sample (17 %), fair 36 sample (10 %), poor 16 sample (5 %), very poor as many as 7 sample (2 %), and failed 1 sample (0.001 %). All repairs to the damaged area which are lower than excellent condition using patching with a cold milling machine.

scholarly journals An Investigation of Geography and Climate Induced Distresses Patterns on Airfield Pavements at US Air Force Installations

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Lauren K. Sahagun ◽  
Moses Karakouzian ◽  
Alexander Paz ◽  
Hanns de la Fuente-Mella
Keyword(s):  
Air Force ◽  
Condition Index ◽  
Portland Cement Concrete ◽  
Climate Zones ◽  
Pavement Condition ◽  
Pavement Distress ◽  
Western Us ◽  
Us Air Force ◽  
Pavement Condition Index ◽  
Predominant Factor

This study investigated climate induced distresses patterns on airfield pavements at US Air Force installations. A literature review and surveys of Pavement Condition Index indicated that the predominant factor contributing to the development of pavement distress was climate. Results suggested that, within each type of pavement distress, a geographic pattern exists which is strongly correlated to conventional US climate zones. The US Air Force Roll-Up Database, housing over 50,000 records of pavement distress data, was distilled using a process designed to combine similar distresses while accounting for age and size of samples. The process reduced the data to a format that could be used to perform krig analysis and to develop pavement behavior models for runways built with asphalt cement (AC) and Portland cement concrete (PCC). Regression and krig analyses were conducted for each distress type to understand distress behavior among climate zones. Combined regression and krig analyses provided insight into the overall pavement behavior for AC and PCC runways and illustrated which climate zone was more susceptible to specific pavement distresses. Distress behavior tends to be more severe in the eastern US for AC and in the western US for PCC runway pavements, respectively.

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