International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
Determination And Collation Of Pavement Condition Index Based On Indian Road Congress (IRC) And American Society For Testing and Material (ASTM) Methods For Roads In Jalgaon City Rushikesh Pratapwar1, Bhavesh Patil2, Umesh Kamble3, Vaibhavi Kachare4, Danish Shaikh5 Dr. Vidya Saraf6 1,2,3,4,5 Student, Btech, Civil Engineering, Government College Of Engineering Jalgaon-425001[MS]India 6Assistant Professor, Civil Engineering Department, Government College of Engineering Jalgaon-425001[MS]India
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Abstract - The Pavement Condition Index (PCI) is a
cracking, longitudinal or transverse cracking, Depression or settlement, Raveling, Potholes, and Patch work. The PCIs were estimated based on the field database information collected by visual inspection survey on selected Low volume road sections of length in the Jalgaon city.
straightforward, handy and inexpensive way to monitor the condition of surface of the roads, identify maintenance and rehabilitation needs well as to make sure that road maintenance expenses are spent judiciously. This research paper is a step in the same direction, to develop Pavement Condition Index for the selected roads in Jalgaon city. The study area includes urban road sections of various roads of the Jalgaon city of overall length of 18 km . In this research paper, pavement condition is determined and compared in terms of surface distresses existing at the time of field evaluation and pavement condition index is determined using two different methods which shows prominent similarities in results.
2. METHODOLOGY 2.1 Method as per ASTM D6433 2.1.1 Considering Sections To assess the worth of a pavement, first of all, the pavement nexus should be classified into branches (such as streets, parking areas, etc.) and each branch should be classified into segments that have certain harmonious characteristics right through their area or length, such as structural composition, construction history, traffic and pavement condition. A sample unit is any conspicuous area of the pavement section. It is the smallest component of the pavement nexus. Criteria for considering sections is as follows,
Key Words: Pavement Condition Index, IRC, ASTM, Pavement Distress, Asphalt Pavement Evaluations.
1.INTRODUCTION This research paper presents the pavement performance evaluation for ten chosen urban road sections of Jalgaon city. The pavement condition indicator used to represent the pavement condition of chosen selected urban road sections is, combined Overall Pavement Condition Index (OPCI). These indices were developed severally then combined together to form an OPCI giving significance of each indicator. The pavement condition data was accumulated in the year 2022-23, which involves measurements of longitudinal and transverse cracking, alligator cracking, potholes, rut depth, patching, raveling, roughness, structural deflection and skid resistance for all the chosen ten urban road sections. All the individual condition indices and the combined index ranged from the value 0 to 100. The pavement condition was rated based these values as 0-10: Failed; 10-25: Serious; 25-40: Very Poor; 40-55: Poor; 55-70: Fair; 70-85: Satisfactory; 85-100: Good.
First, the sample size should be chosen adequately the length of the sample should be 30m and its width is taken equal to width of the road. The second step is to evaluate the number of samples to be selected for inspection. The number of total samples N in a branch is procured by dividing the length of the branch by the length of the sample, as shown below: N = Length of the section/ Length of the sample The curves shown in Figure1 is used to select the least number of sample units that must be scrutinize.
Thus this research is fundamentally focused to carryout a relative study of pavement condition indexes (PCIs) evaluated by two standard techniques propound by IRC and ASTM. In addition, this research also developed a PCI prediction model based on the distress intensity of Alligator
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