Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography

المؤلفون المشاركون

Zhang, Xiaoning
Wu, Wenliang
Li, Zhi
Li, Minghui

المصدر

Advances in Materials Science and Engineering

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-06-24

دولة النشر

مصر

عدد الصفحات

8

الملخص EN

To eliminate the effects of image’s light and shade difference when separating and distinguishing the material composition, a method is put forward, namely, ring-type and partitions threshold segmentation.

It means setting up different segment threshold for different areas of the same image and then combining these different areas into one image.

Furthermore, by analyzing the CT image before and after the RLWT rutting test for the drilling specimen and Marshall specimen and taking the volume of air voids and the angle (alpha) between max main axis and X axis, the differences of two kinds of specimens’ macrotest results were discussed from internal structure distribution.

Here, we show that there are differences between macrotest results of two kinds of specimens because of internal air voids and aggregate distribution, which should be considered for compliance testing.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wu, Wenliang& Li, Zhi& Zhang, Xiaoning& Li, Minghui. 2018. Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography. Advances in Materials Science and Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1121480

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wu, Wenliang…[et al.]. Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography. Advances in Materials Science and Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1121480

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wu, Wenliang& Li, Zhi& Zhang, Xiaoning& Li, Minghui. Evaluating RLWT Rutting Test of Asphalt Mixtures Based on Industrial Computerized Tomography. Advances in Materials Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1121480

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1121480