首页|基于多角度投影方法的砂土颗粒三维形态表征

基于多角度投影方法的砂土颗粒三维形态表征

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砂土颗粒的形态学特征(尺寸和形状)对于评估砂土材料的力学特性至关重要,因此准确地量化其三维形态学特征是研究砂土材料力学特性的前提工作.相比三维测试(表征)方法,二维测试(表征)方法具有测试方式多、程序简单、成本低等优点.为研究二维图像对砂土颗粒三维形态的表征,利用三维激光扫描技术获取砂土颗粒的三维点云数据;然后利用计算机算法重构砂粒的三维模型,准确快速地自动提取砂粒的三维形态特征;借助算法获取了随机单一投影法、最大最小投影面积法(选自1 000张投影)和三正交方向投影法下的砂粒二维形态参数;分析了二维参数与三维参数之间的相关关系,提出了基于砂土颗粒二维形态特征表征三维形态特征的可靠方法.结果表明,砂土颗粒的三维尺寸(长、宽、厚)可使用相应的二维尺寸估算(线性拟合系数R2=0.735~0.994);3种投影方法中,最大最小投影面积法和三正交方向投影法可准确地估算砂土颗粒的三维形态,为砂土材料的快速定量化表征提供了实用方法.
Three-dimensional morphological characterization of sand particles based on a multiangle projection method
[Objective]The morphological characteristics(size and shape)of sand particles are critical for the evaluation of the mechanical properties of sand.Accurate quantification of these morphological characteristics is a prerequisite to investigating the mechanical properties of sand.Compared with the three-dimensional(3-D)test method,the two-dimensional(2-D)counterpart has the advantages of rich test types,simple procedures,and low cost.[Methods]To investigate the feasibility of 2-D images for 3-D morphological characterization of sand particles,3-D laser scanning technology is employed in the present study to obtain the point cloud data of sand particles.Furthermore,a computer algorithm is developed to reconstruct the 3-D models of the sand particles.Thus,the 3-D morphological characteristics of the particles are accurately and quickly obtained.Three 2-D methods,namely the random single projection method,maximum and minimum projected area method(selected from 1 000 projections),and three orthogonal direction projection methods,are proposed for obtaining the 2-D morphological parameters of sand particles.[Results]Computer algorithms for reconstructing the 3-D model of sand particles based on a point cloud were proposed.The algorithms were used to automatically acquire the 3-D and 2-D morphological parameters.Thereafter,the correlations between the 3-D and 2-D parameters were analyzed.A practical method was proposed to obtain the 3-D morphological characteristics of the granular material based on the corresponding 2-D morphological characteristics.[Conclusions]The results reveal that there is a large gap between the 2-D parameters obtained from various angle projections,especially the area parameters in various projections.Notably,the error between the maximum and minimum area is as high as 40%.The random single angle projection method does not provide accurate 3-D information.A strong linear correlation exists between the 3-D and 2-D size parameters of the particles,and a moderate correlation exists between the shape parameters.An empirical relationship for estimating the 3-D morphology of sand particles using 2-D parameters is established.The 3-D parameters,namely the length,width,and thickness of the granular material,can be estimated using the corresponding 2-D parameters(R2=0.735-0.994).The fitting effects of the particle size parameters are better than those of the shape parameters.Additionally,the fitting effects of the maximum and minimum projected area and three orthogonal directional projection methods are better than those of the random single projection method.Among the three 2-D methods,the maximum and minimum projected area and three orthogonal direction projection methods can more accurately estimate the 3-D morphological characteristics of sand particles;thus,these are practical methods for the morphological quantification of granular materials.

sand particlemorphological characteristicsthree-dimensional(3-D)laser scanningtwo-dimensional(2-D)projectiondigital image processing

谢维强、张晓平、刘晓丽、周小雄、刘泉声

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清华大学水沙科学与水利水电工程国家重点实验室,北京 100084

深地科学与工程云龙湖实验室,徐州 221116

武汉大学岩土与结构工程安全湖北省重点实验室,武汉 430072

砂土颗粒 形态特征 三维激光扫描 二维投影 数字图像处理

国家自然科学基金面上项目国家自然科学基金面上项目国家自然科学基金面上项目

419410195197854152079068

2024

清华大学学报(自然科学版)
清华大学

清华大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.586
ISSN:1000-0054
年,卷(期):2024.64(2)
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