球形
筛分分析
纵横比(航空)
形状分析(程序分析)
筛子(范畴论)
岩土工程
数字图像分析
形状因子
凸性
地质学
数字图像
计算机科学
数学
图像处理
图像(数学)
工程类
几何学
人工智能
材料科学
结构工程
计算机视觉
金融经济学
组合数学
静态分析
复合材料
经济
作者
Fatin N. Altuhafi,Catherine O’Sullivan,I. Cavarretta
出处
期刊:Journal of Geotechnical and Geoenvironmental Engineering
[American Society of Civil Engineers]
日期:2012-10-23
卷期号:139 (8): 1290-1307
被引量:317
标识
DOI:10.1061/(asce)gt.1943-5606.0000855
摘要
Sand response depends on particle morphology (size and shape). In geotechnical research and practice, size is typically assessed by sieve analysis and particle shapes are qualitatively described. Technological developments mean that digital images of sand particles can easily be obtained, enabling shape to be quantified. The complexity associated with many digital image analysis algorithms seems to have restricted their use to fundamental research studies. This study introduces a pragmatic approach for quantitative shape analysis that has the potential to be broadly adopted in geotechnical engineering research and practice. The approach generates three shape measures (convexity, sphericity, and aspect ratio) that can easily be calculated from digital images. Following an analysis of these shape measures and the imaging method used here, a database of 36 sands, including many of the sands commonly used in geotechnical research, is presented. The subjective nature of qualitative description is clear from the discrepancies that were found in published shape assessments of these sands. Convexity, sphericity, and aspect ratio data for each of the 36 sands are presented. The relevance of these parameters to geotechnical engineering is established by comparing them with widely used qualitative descriptions.
科研通智能强力驱动
Strongly Powered by AbleSci AI