Prediction of Fracture Damage of Sandstone Using Digital Image Correlation

Autor: Fanzhen Meng, Fanxiu Chen, Bin Zhang, Liming Zhang, Endong Wang
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Digital image correlation
Failure strain
finite element method
0211 other engineering and technologies
Uniaxial compression
02 engineering and technology
lcsh:Technology
01 natural sciences
lcsh:Chemistry
010309 optics
0103 physical sciences
sandstone
digital image correlation
Hill–Tsai failure criterion
General Materials Science
lcsh:QH301-705.5
Instrumentation
021101 geological & geomatics engineering
Fluid Flow and Transfer Processes
lcsh:T
business.industry
Process Chemistry and Technology
General Engineering
Process (computing)
Structural engineering
lcsh:QC1-999
Finite element method
Global strain
Computer Science Applications
lcsh:Biology (General)
lcsh:QD1-999
Deformation mechanism
lcsh:TA1-2040
Fracture (geology)
lcsh:Engineering (General). Civil engineering (General)
business
lcsh:Physics
Geology
failure strain
Zdroj: Applied Sciences
Volume 10
Issue 4
Applied Sciences, Vol 10, Iss 4, p 1280 (2020)
ISSN: 2076-3417
DOI: 10.3390/app10041280
Popis: Investigation on the deformation mechanism of sandstone is crucial to understanding the life cycle patterns of pertinent infrastructure systems considering the extensive adoption of sandstone in infrastructure construction of various engineering systems, e.g., agricultural engineering systems. In this study, the state-of-the-art digital image correlation (DIC) method, which uses classical digital photography, is employed to explore the detailed failure course of sandstone with physical uniaxial compression tests. Four typical points are specifically selected to characterize the global strain field by plotting their corresponding strain&ndash
time relationship curves. Thus, the targeted failure thresholds are identified. The Hill&ndash
Tsai failure criterion and finite element simulation are then used for the cross-check process of DIC predictions. The results show that, though errors exist between the experimental and the theoretical values, overall, they are sufficiently low to be ignored, indicating good agreement. From the results, near-linear relationships between strain and time are detected before failure at the four chosen points and the failure strain thresholds are almost the same
as low as 0.004. Failure thresholds of sandstone are reliably determined according to the strain variation curve, to forecast sandstone damage and failure. Consequently, the proposed technology and associated information generated from this study could be of assistance in the safety and health monitoring processes of relevant infrastructure system applications.
Databáze: OpenAIRE