Reconstruct lower-dimensional crack paths from phase-field point cloud
Research output: Contribution to journal › Article › Research › peer-review
Standard
In: International journal for numerical methods in engineering, Vol. 124.2023, No. 15, 15.08.2023, p. 3329-3351.
Research output: Contribution to journal › Article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Reconstruct lower-dimensional crack paths from phase-field point cloud
AU - Xu, Yue
AU - You, Tao
AU - Zhu, Qizhi
N1 - Publisher Copyright: © 2023 John Wiley & Sons Ltd.
PY - 2023/8/15
Y1 - 2023/8/15
N2 - Because of the smeared representation of phase-field fracture, reconstructing lower-dimensional crack paths is challenging, which may impede the further applications of the phase-field method in the modeling of fault friction and fluid flow in fracture. In the present work, we propose to capture the crack curves or surfaces from two-dimensional or three-dimensional phase-field point cloud using an optimized ridge regression algorithm, and k-nearest neighbor and principal component analysis are used to estimate the normal direction of each segment on the identified discrete crack path. The sensitivity and computational efficiency of the proposed method are investigated thoroughly. Subsequently, this method is extended to reconstruct the complex discrete fracture networks. Finally, several benchmarks for fracture, fault friction and fluid flow problems are presented to demonstrate the strength of the proposed approach.
AB - Because of the smeared representation of phase-field fracture, reconstructing lower-dimensional crack paths is challenging, which may impede the further applications of the phase-field method in the modeling of fault friction and fluid flow in fracture. In the present work, we propose to capture the crack curves or surfaces from two-dimensional or three-dimensional phase-field point cloud using an optimized ridge regression algorithm, and k-nearest neighbor and principal component analysis are used to estimate the normal direction of each segment on the identified discrete crack path. The sensitivity and computational efficiency of the proposed method are investigated thoroughly. Subsequently, this method is extended to reconstruct the complex discrete fracture networks. Finally, several benchmarks for fracture, fault friction and fluid flow problems are presented to demonstrate the strength of the proposed approach.
KW - crack reconstruction
KW - discrete fracture network
KW - fault friction
KW - normal direction
KW - phase-field method
KW - point cloud
UR - http://www.scopus.com/inward/record.url?scp=85153341876&partnerID=8YFLogxK
U2 - 10.1002/nme.7249
DO - 10.1002/nme.7249
M3 - Article
AN - SCOPUS:85153341876
VL - 124.2023
SP - 3329
EP - 3351
JO - International journal for numerical methods in engineering
JF - International journal for numerical methods in engineering
SN - 0029-5981
IS - 15
ER -