Optimization design of rubberized porous asphalt mixture based on noise reduction and pavement performance

Abstract

This study aims to improve the noise reduction and pavement performance of rubberized porous asphalt mixture (RPAM) by optimizing design parameters. The Box-Behnken theory of response surface method (RSM) was selected as the design method to optimize the freeze–thaw splitting tensile strength ratio and dynamic stability in pavement performance, as well as the air void content and damping coefficient in noise reduction performance. The passing percentage of 2.36 mm sieve, asphalt content, crumb rubber content, mixing/compaction temperature were selected as the design parameters. The functional models between design parameters and response values of RPAM were established. The results indicated that the response surface prediction models had good accuracy and prediction ability. Compared with RPAM and porous asphalt mixture designed based on specification design method, RPAM designed based on RSM had better pavement performance and noise reduction performance. The research findings provided new methods and ideas for the design of low-noise pavement.