Advances in Asphalt Pavement Technologies and Practices

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 ne...

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Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
AFM
DSR
n/a
RSM
SMA
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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245 0 0 |a Advances in Asphalt Pavement Technologies and Practices 
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520 |a 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. 
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546 |a English 
650 7 |a History of engineering & technology  |2 bicssc 
650 7 |a Technology: general issues  |2 bicssc 
653 |a additives 
653 |a AFM 
653 |a aged asphalt 
653 |a artificial neural networks 
653 |a asphalt concrete 
653 |a asphalt mixture 
653 |a asphalt pavement 
653 |a asphalt pavements 
653 |a base layers 
653 |a Bayesian optimization 
653 |a bearing capacity 
653 |a bitumen 
653 |a bituminous mixtures 
653 |a characteristic parameter 
653 |a cigarette filters 
653 |a coarse-grained 
653 |a cold recycling 
653 |a compaction quality control 
653 |a comprehensive evaluation 
653 |a construction control 
653 |a correlation 
653 |a crumb rubber asphalt (CR) 
653 |a cyclic triaxial test (CTT) 
653 |a degree of compaction 
653 |a digital image correlation (DIC) 
653 |a DSR 
653 |a dynamic creep 
653 |a emulsified asphalt 
653 |a evaluation method 
653 |a extended finite element method 
653 |a factor importance 
653 |a falling weight deflectometer (FWD) 
653 |a fibers 
653 |a flexible pavement 
653 |a foamed asphalt 
653 |a force field 
653 |a FTIR 
653 |a full-scale pavement structure 
653 |a Google Earth 
653 |a Grouted Semi-flexible Pavement 
653 |a high and low temperature performance 
653 |a high-modulus asphalt mixture 
653 |a hot mix asphalt 
653 |a hot-mix recycled asphalt mixture 
653 |a hybrid self-healing system 
653 |a indirect tensile strength 
653 |a induction heating 
653 |a influential factor 
653 |a infrared spectroscopy 
653 |a interface cracking 
653 |a International Roughness Index 
653 |a J-integral 
653 |a laboratory test 
653 |a local correction coefficient 
653 |a long-term observation data 
653 |a low temperature performance 
653 |a machine learning 
653 |a management system 
653 |a master curve 
653 |a model accuracy evaluation 
653 |a moisture 
653 |a moisture damage 
653 |a moisture sensitivity 
653 |a molecular dynamics 
653 |a morphological properties 
653 |a multiple aging and rejuvenation cycles 
653 |a n/a 
653 |a neural network 
653 |a non-destructive testing 
653 |a numerical analysis 
653 |a orthogonal experimental design 
653 |a orthogonal test 
653 |a pavement 
653 |a pavement condition evaluation 
653 |a pavement design 
653 |a pavement maintenance 
653 |a performance 
653 |a porosity 
653 |a porous asphalt mixture 
653 |a prediction 
653 |a random forest 
653 |a reclaimed asphalt pavement 
653 |a recycled cigarette butts 
653 |a reflection crack 
653 |a relaxation characteristics 
653 |a resilient modulus 
653 |a RSM 
653 |a rutting performance prediction model 
653 |a rutting prediction 
653 |a Saudi Arabia 
653 |a SBS modified asphalt 
653 |a self-healing 
653 |a SMA 
653 |a smartphone sensors 
653 |a steel slag aggregate 
653 |a stiffness modulus 
653 |a stress intensity factors 
653 |a subbase layers 
653 |a toposable set theory 
653 |a Trinidad lake asphalt 
653 |a unbound granular material (UGM) 
653 |a vibration 
653 |a warm mix asphalt 
653 |a water sensitivity 
653 |a wheel tracking rutting resistance 
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856 4 0 |u https://mdpi.com/books/pdfview/book/6239  |7 0  |z Open Access: DOAB, download the publication