TY - GEN
T1 - Analysis and Reconstruction of Rock Joint Surface Based on DCT Algorithm
AU - Zhao, Lianheng
AU - Huang, Dongliang
AU - Zhang, Shuaihao
AU - Wang, Xiang
AU - Zhang, Yingbin
AU - Zuo, Shi
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Research on the mesoscopic geometrical characteristics of joint surfaces has been a topic of considerable interest. Based on discrete cosine transform theory, this paper presents a novel morphology characterization and reconstruction method to quantitatively analyze the 3D geometrical characteristics of rock joints. The joint surfaces are segmented and transformed into standard grid data sets, which are termed, the discrete time-domain signals. Based on discrete cosine transform algorithm, it is possible to convert discrete time-domain signals into a discrete spectrum. Then, the normalized amplitudes of the spectrum are defined as descriptors, which are found to be applicable to characterize and reconstruct the joint surface. Further, the proposed method is used to analyze 205 measured 3D joint samples, and is validated by comparing the surface of the real rock joint with that of reconstructed surface. The research provides an insight into the rapid random reconstruction of joint surfaces, which is beneficial for field identification of discontinuities and providing virtual test samples for numerical modeling.
AB - Research on the mesoscopic geometrical characteristics of joint surfaces has been a topic of considerable interest. Based on discrete cosine transform theory, this paper presents a novel morphology characterization and reconstruction method to quantitatively analyze the 3D geometrical characteristics of rock joints. The joint surfaces are segmented and transformed into standard grid data sets, which are termed, the discrete time-domain signals. Based on discrete cosine transform algorithm, it is possible to convert discrete time-domain signals into a discrete spectrum. Then, the normalized amplitudes of the spectrum are defined as descriptors, which are found to be applicable to characterize and reconstruct the joint surface. Further, the proposed method is used to analyze 205 measured 3D joint samples, and is validated by comparing the surface of the real rock joint with that of reconstructed surface. The research provides an insight into the rapid random reconstruction of joint surfaces, which is beneficial for field identification of discontinuities and providing virtual test samples for numerical modeling.
KW - Discrete cosine transform (DCT)
KW - Morphology
KW - Reconstruction
KW - Rock joint
UR - http://www.scopus.com/inward/record.url?scp=85115987027&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-77238-3_69
DO - 10.1007/978-3-030-77238-3_69
M3 - Conference article published in proceeding or book
AN - SCOPUS:85115987027
SN - 9783030772376
T3 - Lecture Notes in Civil Engineering
SP - 923
EP - 933
BT - Advances in Transportation Geotechnics IV - Proceedings of the 4th International Conference on Transportation Geotechnics Volume 3
A2 - Tutumluer, Erol
A2 - Nazarian, Soheil
A2 - Al-Qadi, Imad
A2 - Qamhia, Issam I. A.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Transportation Geotechnics, ICTG 2021
Y2 - 23 May 2021 through 26 May 2021
ER -