Performance comparison of waste plastic modified versus conventional bituminous roads in Pune city: A case study

被引:18
作者
Biswas, Arjita [1 ]
Goel, Amit [1 ]
Potnis, Sandeep [2 ]
机构
[1] Natl Inst Construct Management & Res NICMAR, Pune, Maharashtra, India
[2] MIT World Peace Univ, Pune, Maharashtra, India
关键词
Bituminous roads; Plastic roads; Analytical Hierarchy Process (AHP);
D O I
10.1016/j.cscm.2020.e00411
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Scarce resources in a developing country like India calls for the optimal use of the road infrastructure using scientific pavement management tools. In the process of finding ways for modifying the traditional methods of making bituminous roads, the use of waste plastic as a substitute to a certain percentage of bitumen is a promising alternative. Gradual deterioration of road infrastructure is a major concern. A vast amount of condition assessment data must be collected to identify the major defects and their causes, to plan for an optimum maintenance alternative. This study evaluates the deterioration rates of waste plastic modified bituminous roads (also called plastic roads) as compared to normal bituminous roads in the metro city of Pune, India. Measurement of deterioration is done with field tests and distress surveys. Ranking of distress parameters was done using Analytic Hierarchy Process (AHP) where the relative importance (on Saaty's scale) assigned to each parameter in the hierarchy was given by the experts (transportation professionals). AHP was implemented using the MATLAB package. The study reveals that the deterioration rate for plastic roads is slower as compared to conventional bituminous roads. (C) 2020 The Author(s). Published by Elsevier Ltd.
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页数:9
相关论文
共 21 条
[1]  
Abduljabar Ali, 2015, 2015 IEEE MTT-S International Microwave Symposium (IMS2015), P1, DOI 10.1109/MWSYM.2015.7166726
[2]  
Agarwal A, 2004, DES AUT CON, P6
[3]  
Agyeman S., 2019, CASE STUD CONSTR MAT, P1
[4]   Prediction of pavement distress index with limited data on causal factors: An auto-regression approach [J].
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, United States .
Int. J. Pavement Eng., 2006, 1 (23-35) :23-35
[5]  
Ahmed S., 2017, International Journal of Pavement Research and Technology, V10, P158, DOI DOI 10.1016/J.IJPRT.2017.01.001
[6]  
Akash Prakasan, 2015, INT J PAVEMENT RES T, P112
[7]  
AMBIKE B, 2014, CONSTR BUILD MATER, P113
[8]  
[Anonymous], 2014, REP US PLAST ROAD CO
[9]  
[Anonymous], 2015, COD PRACT MAINT BIT
[10]  
Arieh Sidess, 2020, INT J PAVEMENT ENG, P1