材料科学与工程学报2024，Vol.42Issue(3)：449-455,7.DOI:10.14136/j.cnki.issn1673-2812.2024.03.013
基于球谐函数的三维集料简化与重构方法
Simplification and Reconstruction of 3D Aggregates Based on Spherical Harmonic Function
摘要
Abstract
Establishing an efficient three-dimensional aggregate reconstruction method is a crucial precondition for conducting virtual experiments on asphalt mixtures.Point cloud data of 500 aggregates were collected by using a 3D laser scanner.The 3D shapes of data were represented using spherical harmonics after simplification through icosahedral subdivision.The relationships between the number of point clouds,spherical harmonic orders,and aggregate characteristics such as volume,surface area,shape index(FI),and angularity index(AI)were analyzed to determine the simplification criteria for the point clouds.The 10th-order spherical harmonic coefficients of the simplified aggregates were calculated,yielding a cumulative distribution curve of 121 spherical harmonic coefficients.Based on the distribution characteristics,the Monte Carlo method was employed to randomly generate 1,400 sets of spherical harmonic coefficients,achieving the geometric reconstruction of the aggregates.The distribution characteristics of AI and FI for the real and virtual aggregates were compared to verify the effectiveness of the reconstruction method.The results indicate that 642 data points and 10th-order spherical harmonics can effectively simplify the aggregates.The distribution ranges of FIv and AIv for the virtual aggregates encompass the parameter values of the real aggregates.These research results provide a foundation for constructing micromechanical models of asphalt mixtures.关键词
沥青混合料/集料/重构/球谐函数/三维激光扫描/形态特征Key words
Asphalt mixture/Aggregate/Recontruction/Spherical harmonic function/3D laser scanning/Morphological characteristic分类
交通工程引用本文复制引用
汤文,柳艺偲..基于球谐函数的三维集料简化与重构方法[J].材料科学与工程学报,2024,42(3):449-455,7.基金项目
国家自然科学基金资助项目(51508428) （51508428）
青海省交通运输厅科技资助项目(2022-01) （2022-01）
