This paper makes a perfect and reasonable explanation and solution to the highly researchable problems under the melting of silica, and uses the methods of image matching, moving state target tracking, gray and binary...
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ISBN:
(纸本)9781728181172
This paper makes a perfect and reasonable explanation and solution to the highly researchable problems under the melting of silica, and uses the methods of image matching, moving state target tracking, gray and binary methods to construct multiplelinearregression. equations, feature image matching models, background difference models, etc., are comprehensively solved using software such as MATLAB, and it is found that the silica particle coordinates and particle motion trajectories, generalized radius and area can represent changes in the silica melting process the conclusion of the melting rate of silicon oxide is finally combined with the model to verify the reliability of the conclusion.
The thermal cracking of asphalt pavement has been the focus of research in cold regions of the world. The contraction and relaxation properties of asphalt mixtures were crucial for investigating the thermal stress of ...
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The thermal cracking of asphalt pavement has been the focus of research in cold regions of the world. The contraction and relaxation properties of asphalt mixtures were crucial for investigating the thermal stress of asphalt pavement based on the thermal cracking mechanism. This paper proposed a novel evaluation index for characterizing the low-temperature performance of asphalt mixtures by considering their contraction and relaxation properties. Firstly, the rank during the evaluation indexes for low-temperature performance was determined by comparative analysis of method. Secondly, the thermal contraction coefficient was used to characterize contraction properties and cumulative stress at per unit strain rate (CSSR) was used to characterize relaxation properties in this paper. According to the cumulation process of thermal stress, a novel index was constructed based on the contraction and relaxation properties. Finally, considering the correlation between the failure temperature and the novel indexes, the prediction model of low-temperature performance consistent with the order of failure temperature was established based on the multiplelinearregression method. Through the standardized analysis of the prediction model, the influence of novel indexes for the low-temperature performance of asphalt mixtures under different temperature conditions was clarified. A novel evaluation index provided a theoretical basis for unifying the evaluation indexes of asphalt mixtures.
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