Next Article in Journal
Courtyard Sound Field Characteristics by Bell Sounds in Han Chinese Buddhist Temples
Previous Article in Journal
Bidirectional Sliding Window for Boundary Recognition of Pavement Construction Area Using GPS-RTK
Previous Article in Special Issue
A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia
Open AccessArticle

Prediction of Fracture Damage of Sandstone Using Digital Image Correlation

1
School of Science, Qingdao University of Technology, Qingdao 266033, Shandong, China
2
Sustainable Construction, The State University of New York, Syracuse, NY 13210, USA
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(4), 1280; https://doi.org/10.3390/app10041280 (registering DOI)
Received: 10 January 2020 / Revised: 10 February 2020 / Accepted: 11 February 2020 / Published: 14 February 2020
(This article belongs to the Special Issue Applications of Remote Image Capture System in Agriculture)
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–time relationship curves. Thus, the targeted failure thresholds are identified. The Hill–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. View Full-Text
Keywords: failure strain; sandstone; digital image correlation; Hill–Tsai failure criterion; finite element method failure strain; sandstone; digital image correlation; Hill–Tsai failure criterion; finite element method
Show Figures

Figure 1

MDPI and ACS Style

Chen, F.; Wang, E.; Zhang, B.; Zhang, L.; Meng, F. Prediction of Fracture Damage of Sandstone Using Digital Image Correlation. Appl. Sci. 2020, 10, 1280.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop