基于骨料形态表征新方法建立级配碎石三维颗粒库

IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2024-02-01 DOI:10.1016/j.jtte.2021.03.009
Haitao Ge , Aimin Sha , Zhenqiang Han
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引用次数: 0

摘要

级配碎石(GCS)颗粒的形态对骨料混合物的性能有着至关重要的影响。颗粒形状的影响是一个无法单独考虑的综合效应,这导致使用实验室方法难以确定混合物性能与骨料形态之间的关系。离散元素法(DEM)是重建颗粒形态和模拟颗粒材料性能测试的有效方法,被广泛采用。然而,由于颗粒形状本身具有丰富的可变性,如何选择有限的颗粒来表征真实的颗粒组合进行模拟仍是当前研究中的一个难题。本研究在利用激光扫描获取三维(3D)集料形状的基础上,提出了将颗粒形状转化为表面积、体积和轮廓长度函数的椭圆体指数(EDI),以全面评估集料形态。此外,还根据颗粒样本相应形态特征的统计数据,建立了能够表征聚集体形态分布的颗粒库。通过对九种不同级配进行一系列实验和数值渗透试验,验证了模型的可靠性。所建立的颗粒库可用于骨料混合物建模,而所提出的模拟框架则有望在数值上优化混合物的级配设计。
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Establishment of a three-dimensional particle library for graded crushed stone based on a new aggregate morphology characterization method

The morphology of graded crushed stone (GCS) particles has an essential influence on the performance of aggregate mixtures. The impact of particle shape is a comprehensive effect that cannot be considered separately, leading to difficulties in establishing the relationship between the mixture properties and the aggregate morphology by using laboratory methods. The discrete element method (DEM) is an effective way widely adopted to reconstruct the morphology of particles and simulate performance tests of granular materials. However, selecting limited particles characterizing a real particle-assembly for simulation is still a challenge in current research due to the inherent rich variability of particle shapes. In this study, based on the acquisition of three-dimensional (3D) aggregate shapes by using laser scanning, ellipsoid index (EDI) translating the particle shape as a function of surface area, volume, and contour length is proposed to comprehensively evaluate aggregate morphology. Further, a particle library capable of characterizing aggregate morphology distribution is established based on the statistics of the corresponding morphological characteristics of particle samples. The model reliability is validated by carrying out a series of experimental and numerical penetration tests with nine different gradations. The established particle library can be used to model aggregate mixtures and the proposed simulation framework is promising for optimizing the mixture gradation design numerically.

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来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
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