Damage evolution in coal under different loading modes using advanced digital volume correlation based on X-ray computed tomography
Haizhou Liu,
Lingtao Mao,
Yang Ju and
François Hild
Energy, 2023, vol. 275, issue C
Abstract:
To investigate the damage development of coal under different loading conditions, in-situ tests in uniaxial and triaxial compression were carried out. Advanced digital volume correlation based on finite element discretization was utilized to quantify the three-dimensional initial and newborn fractures. With this technique, the low contrast in the coal images was compensated for by mechanical regularization, and the fracture activities were quantified via a damage variable and mesh refinement scheme, including fracture opening/closure displacements, volume fractions of damaged elements, and fractal dimensions. The experiments revealed that the damage growth in coal was substantially affected by randomly distributed initial defects. Prior to a macroscopic failure, the coal samples generally experienced pre-existing fracture closure, newborn fracture initiation, interaction and propagation of the two fracture types. This study aimed to gain in-depth insights into the bulk fracture of coal and provide quantitative evidence for further understanding the damage mechanisms from the microscale to the macroscale.
Keywords: Damage; Coal; Compression; Digital volume correlation; X-ray computed tomography (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223008411
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:275:y:2023:i:c:s0360544223008411
DOI: 10.1016/j.energy.2023.127447
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().