Pavement systems deteriorate with time due to the aging of materials, excessive use,overloading, climatic conditions, inadequate maintenance, and deficiencies in inspectionmethods. Proper evaluation of pavement conditions provides important decision-supportto implement preventative rehabilitation. This study presents an innovative smartphone-based monitoring method for advanced characterization of asphalt concrete materials. Theproposed method is based on deploying a pocket-sized near-infrared (NIR) molecularsensor that is fully integrated with smartphones. The NIR spectrometer illuminates asample with a broad-spectrum of near-infrared light, which can be absorbed, transmitted,reflected, or scattered by the sample. The light intensity is measured as a function ofwavelength before and after interacting with the sample. Thereafter, the diffuse reflectance,a combination of absorbance and scattering, caused by the sample is calculated. Thisportable smartphone-based NIR method is used to detect asphalt binders with variousperformance grading (PG) and aging levels. To this end, a number of binder samples aretested in a wavelength range of 740 to 1070 nm. The results indicate that asphalt binderswith different grades and aging levels yield significantly different spectrums. Thesedistinctive spectrums can be attributed to the variations of binder components such assaturate, asphaltenic, resin, and aromatic. Furthermore, the molecular sensor is successfullydeployed to detect and classify asphalt mixtures fabricated with various binder andrecycled material types such as styrene-butadiene-styrene (SBS), ground tire rubber (SBS),engineered crumbed rubber (ECR), reclaimed asphalt pavement (RAP), and recycled xiasphalt shingles (RAS). The proposed monitoring technology is not only a viable tool forasphalt material characterization but also a cost-effective platform capable of transformingthe current physical and chemical methods for civil engineering material characterization.
|Advisor:||Alavi, Amir H|
|Commitee:||Buttlar, Bill, Maschmann, Matt, Sun, Carlos|
|School:||University of Missouri - Columbia|
|School Location:||United States -- Missouri|
|Source:||MAI 82/8(E), Masters Abstracts International|
|Subjects:||Civil engineering, Engineering|
|Keywords:||Asphalt concrete, Concrete, Material Characterization, Molecular Sensing, Near-Infrared, Smartphone|
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