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Digital energy grade‐based approach for crack path prediction based on 2D X‐ray CT images of geomaterials
Author(s) -
Zhao Zhi,
Zhou XiaoPing
Publication year - 2019
Publication title -
fatigue and fracture of engineering materials and structures
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.887
H-Index - 84
eISSN - 1460-2695
pISSN - 8756-758X
DOI - 10.1111/ffe.12979
Subject(s) - randomness , consistency (knowledge bases) , displacement (psychology) , finite element method , path (computing) , fracture mechanics , structural engineering , energy (signal processing) , cracking , stability (learning theory) , materials science , computer science , engineering , mathematics , statistics , composite material , artificial intelligence , machine learning , psychology , psychotherapist , programming language
Cracking is an important phenomenon in the failure of geomaterials. The prediction of crack paths is difficult and challenging because of the randomness and uncertainty in the cracking behaviors of geomaterials. In this paper, to predict crack paths based on 2D X‐ray computed tomography (CT) images, a digital energy grade‐based approach is proposed, and the corresponding energy principle is established. Excellent consistency of crack paths is found between the predicted crack path and the real crack path of the specimen. The numerical results indicate that the proposed approach provides a useful way to predict cracking paths in geomaterials. Meanwhile, the stress and displacement fields before and after the specimen fails can be obtained by combining the proposed method with finite element (FE) analysis. In total, this proposed method can be applied not only to monitoring the health of but also to the stability analysis of engineering structures during engineering activities.