Abstract

Tack coat application rates and testing conditions differ among nations and construction conditions because various tack coat materials are available. In this study, newer materials are optimized for addition to porous asphalt pavements exposed to torrential rainfall, which is common in South Korea. Interface shear strength (ISS) tests are used to define the optimum application rates (OARs) of tack coat materials generally used in South Korea, by reference to the Korean Design Standard (KDS), the Korean Construction Standard (KCS), and features of pavement construction and bonding. We performed ISS tests using asphalt mixtures with porosities of 3, 5, and 7% to explore the effect of porosity on shear strength. The ISSs associated with varying tack coat proportions were earlier determined by creating polynomial regression equations. Here, we develop a predictive model using a non-linear function to estimate the OAR of tack coat and compare our approach with the earlier polynomial regression analysis. Based on the ISSs, the golden section search method was applied to define the OARs afforded by the predictive polynomial function. We used the generalized reduced gradient algorithm to construct a nonlinear predictive function using data from the ISS tests. Finally, our comparative analysis showed that the predictive model using the non-linear function was superior to the polynomial model in terms of both error rate and predictive tendency.

Highlights

  • Emulsified asphalt prevents the slippage and separation of two different pavement layers used to bear traffic loads by improving the binding between the upper and lower layers

  • Tack coat is commonly divided by stiffness into slow-setting (SS-1, SS-1h, CSS-1, and CSS-1h) and rapid-setting grades (RS-1, RS-2, CRS-1, CRS-2, CRS-2P, and CRS-2L, respectively)

  • CRS-2P and CRS-2L are emulsified asphalts modified by the addition of latex or polymeric material

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Summary

Introduction

Emulsified asphalt (e.g., tack coat) prevents the slippage and separation of two different pavement layers used to bear traffic loads by improving the binding between the upper and lower layers. The bonding properties can be changed by the material type of underlying mixture, and the temperature and the application rate have an impact on their shear strength [1]. Factors important to interlayer strength include tack coat characteristics (binder dosage, binder type, and breaking time), surface characteristics (material type, surface roughness, surface texture, and state), temperature, traffic loads, etc., and the optimum application rate can be influenced by the aggregate gradation. It is recommended these factors be considered to evaluate the bonding characteristics of the pavement site [2,3,4,5]. We here evaluate the ISS of RS(C)‐4, usually applied in South Korea, and compare it to that of BD‐Coat admixed with HMA

Performance Tests
Mixture Size Variation
ISS Test
Previous Research
The New Predictive Model
Optimum Application Rates and Evaluations by the Predictive Model
Full Text
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