Pervious concrete pavement performance modeling: an empirical approach in cold climates

2012 ◽  
Vol 39 (10) ◽  
pp. 1100-1112 ◽  
Author(s):  
Amir Golroo ◽  
Susan L. Tighe

Pervious concrete pavement (PCP) is an appropriate means to meet growing environmental demands. To apply pervious concrete as a pavement, its performance should be studied over its life span. This research aims to develop empirical performance models based on a proposed condition index through incorporation of integrated laboratory and field work. Since no condition index has been developed for PCP to date, first, a condition index is developed. The condition index is proposed as a combination of two indices: a surface distress index and a functional performance index. Two sources of data have been collected to develop performance models including panel rating and field investigations. Performance models are developed in two phases using regression analysis techniques. In phase I, performance models are presented as functions of a surface distress index and a functional performance index, while in phase II, performance models are correlated with pavement age and successfully validated.

2009 ◽  
Vol 36 (5) ◽  
pp. 754-764 ◽  
Author(s):  
Amir Golroo ◽  
Susan L. Tighe

Since the use of pervious concrete pavement structures (PCPSs) is essentially still in the trial stage in Canada, long-term and quantitative pavement condition data are not available. The existing approaches applied to assess pervious concrete pavement structure (PCPS) conditions are ad hoc and suffer from methodological limitations. A fuzzy set technique is proposed herein as an efficient tool for dealing with qualitative and incomplete pavement condition data on distress types, severities, densities, and weighting factors. Using this method, a comprehensive fuzzy condition index was developed based on Ministry of Transportation of Ontario (MTO) methodology and using fuzzy pavement condition data. This fuzzy condition index was converted to a single value that allowed for comparisons of pavement conditions using several ranking techniques. A case study of 24 PCPS sites was utilized to demonstrate how the fuzzy representations of the condition index compared with associated single values. It is shown that this approach can effectively provide extensive condition indices for PCPSs and rank them accordingly, using only limited and imprecise pavement condition data.


2013 ◽  
Vol 43 ◽  
pp. 545-556 ◽  
Author(s):  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Kasthurirangan Gopalakrishnan ◽  
Charles W. Schwartz ◽  
Rui Li

2019 ◽  
Vol 31 (11) ◽  
pp. 04019258 ◽  
Author(s):  
Avishreshth Singh ◽  
Gaddam Sai Jagadeesh ◽  
Prasanna Venkatesh Sampath ◽  
Krishna Prapoorna Biligiri

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