Advances in Asphalt Pavement Technologies and Practices

Edited by
October 2022
322 pages
  • ISBN978-3-0365-5493-8 (Hardback)
  • ISBN978-3-0365-5494-5 (PDF)

This book is a reprint of the Special Issue Advances in Asphalt Pavement Technologies and Practices that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Environmental & Earth Sciences
Physical Sciences

Unlike other construction materials, road materials have developed minimally over the past 100 years. However, since the 1970s, the focus has been on more sustainable road construction materials such as recycled asphalt pavements. Recycling asphalt involves removing old asphalt and mixing it with new (fresh) aggregates, binders, and/or rejuvenators. Similarly, there are various efforts to use alternative modifiers and technical solutions such as crumb rubber, plastics, or various types of fibres. For the past two decades, researchers have been developing novel materials and technologies, such as self-healing materials, in order to improve road design, construction, and maintenance efficiency and reduce the financial and environmental burden of road construction.

This Special Issue on “Advances in Asphalt Pavement Technologies and Practices” curates advanced/novel work on asphalt pavement design, construction, and maintenance. The Special Issue comprises 19 papers describing unique works that address the current challenges that the asphalt industry and road owners face.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
n/a; steel slag aggregate; warm mix asphalt; RSM; stiffness modulus; dynamic creep; moisture sensitivity; pavement; porous asphalt mixture; low temperature performance; orthogonal experimental design; porosity; cigarette filters; recycled cigarette butts; asphalt concrete; SMA; fibers; Trinidad lake asphalt; aged asphalt; hot-mix recycled asphalt mixture; reclaimed asphalt pavement; high-modulus asphalt mixture; Grouted Semi-flexible Pavement; influential factor; evaluation method; performance; laboratory test; hot mix asphalt; compaction quality control; artificial neural networks; degree of compaction; vibration; reflection crack; numerical analysis; extended finite element method; J-integral; stress intensity factors; multiple aging and rejuvenation cycles; SBS modified asphalt; morphological properties; DSR; FTIR; AFM; moisture damage; random forest; machine learning; factor importance; prediction; SBS modified asphalt; high and low temperature performance; infrared spectroscopy; additives; orthogonal test; bituminous mixtures; stiffness modulus; neural network; Bayesian optimization; asphalt mixture; master curve; characteristic parameter; relaxation characteristics; cold recycling; foamed asphalt; emulsified asphalt; asphalt pavements; self-healing; hybrid self-healing system; induction heating; indirect tensile strength; water sensitivity; wheel tracking rutting resistance; International Roughness Index; pavement condition evaluation; correlation; Saudi Arabia; flexible pavement; pavement maintenance; management system; smartphone sensors; Google Earth; resilient modulus; pavement design; unbound granular material (UGM); cyclic triaxial test (CTT); non-destructive testing; bearing capacity; falling weight deflectometer (FWD); base layers; subbase layers; rutting performance prediction model; long-term observation data; full-scale pavement structure; model accuracy evaluation; local correction coefficient; rutting prediction; moisture; interface cracking; digital image correlation (DIC); molecular dynamics; crumb rubber asphalt (CR); bitumen; molecular dynamics; coarse-grained; force field; self-healing; asphalt pavement; construction control; toposable set theory; comprehensive evaluation