Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics
المؤلفون المشاركون
Liu, Guoqiang
Han, Dongdong
Zhao, Yongli
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-11
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
For asphalt mixtures, the difference between strong force chains (SCF) can reflect the skeleton performance.
In this paper, six kinds of mineral mixture discrete element model were established.
And various SCF evaluation indices of different mineral mixtures were calculated.
Results indicate that the short length SCF number proportions of dense-skeleton type mineral mixtures are higher than that of dense-suspended type mineral mixtures under the same nominal maximum aggregate size (NMAS).
And the NMAS has a great influence on the SCF length cumulative proportions, and different NMAS can significantly change the stress transfer path for dense-suspended type mixture.
Nevertheless, the SCF length cumulative proportions have consistency for dense-skeleton type mixtures.
The small SCF alignment coefficient proportions of dense-suspended type mixtures are higher than that of dense-skeleton type mixtures.
In particular, under larger NMAS, the difference is more obvious.
The SCF that is close to straight line is conducive to transfer loading.
Therefore, dense-skeleton type mixture has better rutting resistance.
The SCF bears the main loading for mixtures.
Mixtures stone matrix asphalt (SMA) has a stronger bearing capacity than that of mixtures AC under the same NMAS.
These findings provide insight into the mechanics of skeleton structure.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Guoqiang& Han, Dongdong& Zhao, Yongli. 2020. Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1121100
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Guoqiang…[et al.]. Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics. Advances in Civil Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1121100
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Guoqiang& Han, Dongdong& Zhao, Yongli. Quantitative Investigation of Aggregate Skeleton Force Chains of Asphalt Mixtures Based on Computational Granular Mechanics. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1121100
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1121100
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر