TY  - JOUR
SN  - 22145095
TI  - Evaluation of measured and predicted resilient modulus of rubberized Stone Mastic Asphalt (SMA) modified with truck tire rubber powder
ID  - scholars14214
A1  - Noura, S.
A1  - Al-Sabaeei, A.M.
A1  - Safaeldeen, G.I.
A1  - Muniandy, R.
A1  - Carter, A.
Y1  - 2021///
N1  - cited By 8
KW  - Forecasting; Mastic asphalt; Mixtures; Powders; Shotcreting; Stiffness; Tensile strength; Tires; Trucks
KW  -  Department of Transportation; Elastic characteristic; Horizontal deformation; Indirect tensile; Indirect tensile strength; Resilient modulus; Rubberized asphalt; Stone mastic asphalts
KW  -  Rubberized concrete
PB  - Elsevier Ltd
N2  - Rubberized asphalt is known for its elastic deformation recovery and good resilience in response to loads owing to the elastic characteristics of tire rubber powder. There are several methods for the prediction of the stiffness modulus of asphalt mixtures. However, there are limited studies on predicting the stiffness modulus incorporating both wet and dry rubberization methods based on the available methods of Asphalt Institute (AI) and IDOT (Illinois department of transportation). In this research, Stone Mastic Asphalt (SMA) mixtures were modified with truck tire rubber powder (TRP) with two different processes: SMA-WP (SMA mixtures modified in the wet process) and SMA-DP (SMA mixtures modified in the dry process). In both methods, 3, 6, and 9 of TRP were used for modification, and the performance of the control and modified mixtures was evaluated under indirect tensile strength (ITS) and indirect tensile stiffness modulus (ITSM) tests. Finally, the results of ITSM were compared to predicted resilient modulus based on the Asphalt Institute (AI) and Illinois Department of Transportation (IDOT). The experiments revealed that SMA-DP mixes have higher ITS than SMA-WP. At the same time, both methods showed a decrease in ITS as TRP content increases. Furthermore, the SMA-WP samples showed a lower phase angle than SMA-DP samples, indicating higher elasticity for the mixtures. In addition, SMA-WP showed lower horizontal deformation than SMA-DP, which helps reduce rutting on the surface layer. Finally, the prediction results showed that the IDOT method could not predict the Stiffness Modulus, while the AI method was more accurate and can be used for prediction. © 2021 The Authors
VL  - 15
JF  - Case Studies in Construction Materials
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111277745&doi=10.1016%2fj.cscm.2021.e00633&partnerID=40&md5=5c15c06a29ef9ad7231d4c7b9441de37
AV  - none
ER  -