3-D strain estimation in sandstone using improved digital volumetric speckle photography algorithm. (May 2021)

• Record Type: Journal Article
• Authors: Mao, Lingtao; Liu, Haizhou; Wang, Yuwei; Ding, Leilei; Ju, Yang; Chiang, Fu-Pen
• Is Part Of: International journal of rock mechanics and mining sciences. Volume 141(2021)
• Publication Date: 2021-05
• Subjects: Rock -- Interior deformation -- Digital volumetric speckle photography -- Digital volume correlation -- X-ray computed tomography -- Inverse compositional Gauss–Newton algorithm; Rock mechanics -- Periodicals; Soil mechanics -- Periodicals; Mining engineering -- Periodicals; Roches, Mécanique des -- Périodiques; Sols, Mécanique des -- Périodiques; Technique minière -- Périodiques; 624.151305
• DOI: 10.1016/j.ijrmms.2021.104736
• Languages: English
• ISSNs: 1365-1609

Abstract

Abstract: Accurately and stably estimating the strain in rocks is important to understand their failure mechanism. Digital volumetric speckle photography (DVSP) combined with X-ray computed tomography (CT) has been used to investigate the strain in rocks. This study introduced the inverse compositional Gauss–Newton algorithm into DVSP to improve the accuracy and precision of displacement and strain measurements. Granules with different particle sizes were used to simulate the mesostructure of sandstone, and a series of baseline experiments were conducted to evaluate the accuracy of the improved algorithm, which had a performance that was approximately three times better than DVSP alone. Subsequently, the algorithm was applied to red sandstone subjected to the Brazilian test and an indentation experiment. The interior deformation characteristics of the specimen were clearly depicted, which clarified the failure mechanism of the rock material.