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确定无损伤沥青胶浆二维随机聚集体数值模型的代表性体积单元尺寸

Determining the Size of Representative Volume Elements for a Two-Dimensional Random Aggregate Numerical Model of Asphalt Mortar without Damage.

作者信息

Liang Sheng, Tao Jing, Zhao Xiaoming, Liu Zhong, Zhang Derun, Tu Chongzhi

机构信息

School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

Shenzhen Road & Bridge Group Co., Ltd., Shenzhen 518001, China.

出版信息

Materials (Basel). 2024 Jul 9;17(14):3387. doi: 10.3390/ma17143387.

DOI:10.3390/ma17143387
PMID:39063679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11277837/
Abstract

The size of the representative volume element (RVE) for the two-dimensional (2D) random aggregate numerical model of asphalt mortar in a non-destructive state, which directly affects the time required to simulate the linear viscoelastic behavior from asphalt mastic to asphalt mortar. However, in the existing literature, limited research has been conducted on the size determination of the numerical model RVE for asphalt mortar. To provide a recommended size for the typical 2D random aggregate numerical model RVE of asphalt mortar in a nondestructive state, this paper first applies the virtual specimen manufacturing method of asphalt concrete 2D random aggregate to asphalt mortar. Then, it generates numerical model RVEs of asphalt mortar with different maximum particle sizes, after which geometric and numerical analyses are conducted on these models. Finally, based on the geometric and numerical analysis results, the recommended minimum sizes of RVE for the 2D asphalt mortar numerical model are provided.

摘要

用于二维(2D)非破坏状态下沥青胶浆随机集料数值模型的代表性体积单元(RVE)尺寸,直接影响从沥青玛蹄脂模拟到沥青胶浆线性粘弹性行为所需的时间。然而,在现有文献中,关于沥青胶浆数值模型RVE尺寸确定的研究较少。为给出非破坏状态下沥青胶浆典型二维随机集料数值模型RVE的推荐尺寸,本文首先将沥青混凝土二维随机集料的虚拟试件制造方法应用于沥青胶浆。然后生成具有不同最大粒径的沥青胶浆数值模型RVE,之后对这些模型进行几何和数值分析。最后,根据几何和数值分析结果,给出二维沥青胶浆数值模型RVE的推荐最小尺寸。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/0aec9c26fd7f/materials-17-03387-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/7db43013784d/materials-17-03387-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/35c993b4a1a1/materials-17-03387-g002a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/7ff2aebaab3a/materials-17-03387-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/610e7266f1fa/materials-17-03387-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/26a0b59e89a1/materials-17-03387-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/9b1bd692bf6f/materials-17-03387-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/2e24a2fc4c5a/materials-17-03387-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/c4ec2cba116e/materials-17-03387-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/e0fa738362d9/materials-17-03387-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/374f605375c4/materials-17-03387-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/0aec9c26fd7f/materials-17-03387-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/7db43013784d/materials-17-03387-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/35c993b4a1a1/materials-17-03387-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/ed6f51a0f973/materials-17-03387-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/7ff2aebaab3a/materials-17-03387-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/610e7266f1fa/materials-17-03387-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/26a0b59e89a1/materials-17-03387-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/9b1bd692bf6f/materials-17-03387-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/2e24a2fc4c5a/materials-17-03387-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/c4ec2cba116e/materials-17-03387-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/e0fa738362d9/materials-17-03387-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/374f605375c4/materials-17-03387-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b12/11277837/0aec9c26fd7f/materials-17-03387-g012a.jpg

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本文引用的文献

1
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2
Rheological and Interaction Analysis of Asphalt Binder, Mastic and Mortar.沥青结合料、胶泥和砂浆的流变学与相互作用分析
Materials (Basel). 2019 Jan 2;12(1):128. doi: 10.3390/ma12010128.
3
Upscaling Cement Paste Microstructure to Obtain the Fracture, Shear, and Elastic Concrete Mechanical LDPM Parameters.
将水泥浆体微观结构放大以获取混凝土的断裂、剪切和弹性力学细观损伤塑性模型参数。
Materials (Basel). 2017 Feb 28;10(3):242. doi: 10.3390/ma10030242.