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Minghua Wei

Researcher at Wuhan University of Technology

Publications -  7
Citations -  100

Minghua Wei is an academic researcher from Wuhan University of Technology. The author has contributed to research in topics: Asphalt & Medicine. The author has an hindex of 1, co-authored 3 publications receiving 5 citations.

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Performance characterization and enhancement mechanism of recycled asphalt mixtures involving high RAP content and steel slag

TL;DR: In this article , the performance of recycled asphalt mixtures with 50, 60, and 70% RAP content and steel slags was evaluated and the results indicated that incorporating steel slag in these mixtures reveals a desirable performance index in contrast to basalt.
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Multi-scale performance evaluation and correlation analysis of blended asphalt and recycled asphalt mixtures incorporating high RAP content

TL;DR: In this paper, the authors explored properties indexes of blended asphalt and performances of recycled asphalt mixtures (RAM) as well as their correlation analysis, aiming to facilitate further application of asphalt mixture incorporating high RAP content.
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Environmental Impact on VOCs Emission of a Recycled Asphalt Mixture with a High Percentage of RAP

TL;DR: In this paper, the authors evaluated the servicing performance of a mixed asphalt mixture with high percentage of RAP and assessed its environmental impact on volatile organic compounds (VOCs) emission.
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Characterization of Steel Slag Filler and Its Effect on Aging Resistance of Asphalt Mastic with Various Aging Methods.

TL;DR: In this paper, steel slag filler is used to replace limestone filler in asphalt concrete by evaluating the resistance of asphalt mastic under various aging methods, and the results show that there are similar particle size distributions, however, different surface characterization and pore characterization in the fillers.
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Chromosome-level and graphic genomes provide insights into metabolism of bioactive metabolites and cold-adaption of Pueraria lobata var. montana

TL;DR: The chromosome-level and graphic genomes of P. montana will not only facilitate the studies of evolution and metabolic regulation, but also promote the breeding of Pueraria.