Identifying the Long-Term Thermal Storage Stability of SBS-Polymer-Modified Asphalt, including Physical Indexes, Rheological Properties, and Micro-Structures Characteristics

Peng Wang, Hong-Rui Wei, Xi-Yin Liu, Rui-Bo Ren and Li-Zhi Wang
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Peng Wang: School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China
Hong-Rui Wei: School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China
Xi-Yin Liu: School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China
Rui-Bo Ren: School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China
Li-Zhi Wang: School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China

Sustainability, 2021, vol. 13, issue 19, 1-16

Abstract: The thermal storage stability of styrene–butadiene–styrene tri-block copolymer modified bitumen (SBSPMB) is the key to avoid performance attenuation during storage and transportation in pavement engineering. However, existing evaluation index softening point difference within 48 h (Δ SP 48 ) cannot effectively distinguish this attenuation of SBSPMB. Thus, conventional physical indexes, rheological properties, and micro-structure characteristics of SBSPMB during a 10-day storage were investigated in this research. Results showed that during long-term thermal storage under 163 °C for 10 days, penetration, ductility, softening point, recovery rate ( R %), and anti-rutting factor ( G */sin δ ) were decayed with storage time increasing. This outcome was ascribed to the phase separation of SBS, which mainly occurred after a 4-day storage. However, Δ SP 48 after a 6-day storage met the specification requirements (i.e., below 2.5 °C). Thus, the attenuation degree of asphalt performance in field storage was not effectively characterized by Δ SP 48 alone. Results from network strength ( I ) and SBS swelling degree tests revealed that the primary cause was SBS degradation and base asphalt aging. Moreover, conventional indexes, including penetration, ductility, and softening point, were used to build a prediction model for rheological properties after long-term storage using partial least squares regression model, which can effectively predict I, R , J nr , G */sin δ , and SBS amount. Correlation coefficient is above 0.8. G */sin δ and I at the top and bottom storage locations had high coefficient with SBS amount. Thus, phase separation of SBSPMB should be evaluated during thermal storage.

Keywords: polymer-modified asphalt; thermal storage stability; relationship between macro performance and micro structures; partial least squares regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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