Mechanical Analysis Model of Asphalt Concrete Random Particles Based on Mix Ratio
Auteur(s): |
Jianguo Jiang
Xihe Zhang Xiaoming Liu |
---|---|
Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 28 juin 2023, n. 7, v. 13 |
Page(s): | 1583 |
DOI: | 10.3390/buildings13071583 |
Abstrait: |
The strength and other mechanical properties of asphalt mixtures are directly affected by their size, shape, distribution, and interaction of asphalt concrete particles. Mesoscale performance is important for studying the structure of asphalt mixtures. The random particle model of asphalt concrete is one of the important topics in mesoscale research. On the basis of existing research at home and abroad, based on the asphalt mixture mix ratio, this paper further improves the algorithm of random particle generation, optimizes the algorithm of single-particle generation, ensures that the shape of particles at the time of generation conforms to the engineering practice, and forms a random particle reserve library, in order to improve the efficiency of particle delivery, facilitate the model mesh division, and provide a basis for the smooth progress of mechanical analysis. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
4.92 MB
- Informations
sur cette fiche - Reference-ID
10737094 - Publié(e) le:
03.09.2023 - Modifié(e) le:
14.09.2023