3D shape reconstruction and generation of natural pozzolan particles

被引:0
|
作者
Peng, Bo [1 ]
Thannasi, Prabu [1 ]
Celik, Kemal [1 ]
机构
[1] New York Univ Abu Dhabi, Div Engn, POB 129188, Abu Dhabi, U Arab Emirates
关键词
micro-CT scanning; Particle morphology; Spherical harmonic analysis; Principal component analysis; Variational autoencoder; X-RAY TOMOGRAPHY; RANDOM-FIELDS; VOLCANIC ASH; PARTICULATE SYSTEMS; COMPUTED-TOMOGRAPHY; SPHERICAL-HARMONICS; POWDER COMPACTION; SIMULATION; FRAMEWORK; STRENGTH;
D O I
10.1016/j.powtec.2024.120443
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Natural pozzolans are widely used in the construction industry due to their beneficial properties, including enhanced durability, increased long-term concrete strength, and contributions to sustainability by reducing Portland cement usage and carbon emissions. Additionally, they play a role in producing lunar regolith simulants due to their geochemical similarity to lunar regolith. While their physical and chemical characteristics are wellstudied, the impact of particle morphology is significant. Understanding pozzolan particle shape and surface characteristics can optimize their reactivity, workability, and effectiveness in construction materials. Despite its importance, particle morphology is not widely assessed due to the fine scale of the particles. This paper presents a systematic approach to reconstruct and generate realistic pozzolan particles, offering valuable insights into their morphology and enhancing practical applications. Our proposed method, with its potential to improve numerical studies and serve as a foundation for pozzolan-related applications, holds promise for future construction materials and space applications.
引用
收藏
页数:22
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