Investigation of Moisture Sensitivity and Conductivity Properties of Inductive Asphalt Mixtures Containing Steel Wool Fiber

Abstract

The construction of suitable roads in rainy areas has created problems in the construction process due to the low resistance of asphalt to moisture. To solve this problem, materials are commonly used that make mixtures resistant to moisture; however, these materials may reduce the dynamic resistance of asphalt. Therefore, materials should be used that, in addition to increasing the dynamic resistance, also increase the moisture resistance of asphalt mixtures. One of these materials used in this research is steel wool fiber (SWF), which in addition to creating conductive roads also could have a significant effect on moisture resistance. In this study, the impact of 2%, 4%, 6%, 8%, and 10% SWF on the Marshall stability and moisture sensitivity of mixtures was investigated using the Marshall stability and indirect tensile strength (ITS) tests, respectively. Moreover, using SWF as a conductive fiber, the conductivity properties of asphalt mixtures were explored to find the optimal amount of electrical conductivity. The results of the Marshall stability test indicated that by increasing SWF contents, the stability of mixtures increased, compared with the base sample, and greater amounts of 6% SWF resulted in the reduction of the Marshall stability. The results of ITS showed that modification of bitumen by SWF increased ITS and tensile strength ratio (TSR) amounts of mixtures. 6% SWF was the optimal amount for enhancing the resistance of asphalt mixtures to moisture sensitivity. The results of the electrical resistivity test showed that the resistivity had three phases: high resistivity, transit, and low resistivity. Mixtures containing less than 4% SWF illustrated an insulating behavior, with electrical resistivity greater than 7.62 × 108 Ω . m . At the transit phase, the resistivity of mixtures had a sharp reduction from 7.62 × 108 Ω . m to 6.17 × 104 Ω . m . Finally, 8% SWF was known as the optimal content for the electrical conductivity of mixtures.

Energy Consumption and Environment Performance Analysis of Induction-Healed Asphalt Pavement by Life Cycle Assessment (LCA)

“…The production technology of self-repairing asphalt pavement is to add steel fiber with asphalt volume ratio of 6%, and increase asphalt dosage by 0.2% on the basis of the original mix ratio of ordinary asphalt concrete [ 28 , 29 , 30 ]. Considering the density difference between steel fiber and natural aggregate as well as binder, the proportion of added steel fiber and the later paving and rolling processes were optimized and adjusted accordingly.…”

The Effect of Aggregate‐Forming Minerals on Thermodynamic Parameters Using Surface Free Energy Concept and Its Relationship with the Moisture Susceptibility of Asphalt Mixtures

“…e amount of loading was filed at the failure moment. By the use of equation ( 8), the value of indirect tensile strength (ITS) of the samples was achieved [46,47]:…”

Statistical Analysis for Study of the Effect of Dark Clothing Color of Female Pedestrians on the Severity of Accident Using Machine Learning Methods

“…Traffic management is an important issue in developed countries, and the government should invest substantially in this case for an effective transportation network [4,5]. If no measure is taken to reduce accidents and increase road safety, the rate of accidents and casualties will always increase and result in the loss of financial and human resources [6][7].…”