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Analyzing the Gradation of Asphalt Mixtures Based on Industrial Computerized Tomography

並列摘要


The performance of asphalt pavement is influenced by the gradation of asphalt mixtures. Using industrial computerized tomography, which is a nondestructive test technique to obtain slice images, analyzing these 2D slice images, and applying probability statistical theory, the 3D volumetric gradation of asphalt mixtures under the assumption of spherical aggregates can be estimated from 2D sectional gradation. There is error between the gradations of spherical aggregate assumption and mechanical sieving and a correction method is therefore developed to convert the gradation of spherical aggregate assumption to that of mechanical sieving. By introducing correction factor C, the error becomes less than 5%, which can meet engineering requirements. The results of this study indicate that this new method of determining gradation has the advantage of improved efficiency with reasonable accuracy.

被引用紀錄


Liu, H. T. (2012). 利用可適性彈性蛇變曲線模型從事核磁共振影像之腦部區域分割 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2012.00967

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