Blind matching of crushed sand particles via branch and bound
Blind matching of crushed sand particles via branch and bound
复制标题
通过分支定界法对碎砂颗粒进行盲匹配
DOI:
10.1016/j.powtec.2019.10.016
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发表时间:
2020
影响因子:
5.2
通讯作者:
Mengmeng Wu
中科院分区:
文献类型:
--
作者:
Jianfeng Wang;Mengmeng Wu
Particle breakage of granular materials plays an important role in its microstructure change and macroscopic behavior under external loads. However, measuring the breakage degree of individual particles in a deformed sand specimen still remains a challenge in geomechanics research. This paper presents a novel method that can track and match fragments to the mother particle from which they break off by searching a limited number of candidate particles. Integrating thebranch-and-boundsearch algorithm with theStandard Iterative Closest Point(Standard ICP) algorithm, this method is applied to process and analyze the X-ray tomography data of 9 Leighton Buzzard sand particles, which each was crushed in a single particle crushing test. Firstly, a total of 62 fragments were collected, mixed up and sorted according to its volume (in the descending order). Secondly, thelocal bending energyalgorithm was used to identify the fracture surfaces of each fragment that were resulted from the mechanical crushing of sand particles. Then thebranch-and-boundalgorithm was employed to determine the lower and upper bounds of cubes and sub-cubes by efficiently searching the 3D translation and rotation spaces. Finally, a trial matching of each fragment to each of the 9 original particles was made to identify the corresponding mother particle and its location in the mother particle. The effectiveness and efficiency of the proposed tracking method was demonstrated by the matching of 62 fragments to their corresponding mother particles.
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影响因子:
1.1
作者:
N. Karmarkar
通讯作者:
N. Karmarkar
DOI:
10.1016/j.cag.2015.04.003
发表时间:
2015-06
期刊:
Comput. Graph.
影响因子:
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作者:
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影响因子:
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DOI:
10.1145/1179352.1141925
发表时间:
2006-07
期刊:
ACM SIGGRAPH 2006 Papers
影响因子:
--
作者:
Qi-Xing Huang;Simon Flöry;Natasha Gelfand;M. Hofer;H. Pottmann
通讯作者:
Qi-Xing Huang;Simon Flöry;Natasha Gelfand;M. Hofer;H. Pottmann