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 |
Externí odkaz: |