TY - JOUR
T1 - A contact method for B-spline material point method with application in impact and penetration problems
AU - Li, Lehui
AU - Lian, Yanping
AU - Li, Ming Jian
AU - Gao, Ruxin
AU - Gan, Yong
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.
PY - 2024/6
Y1 - 2024/6
N2 - A novel contact algorithm for the B-spline material point method (referred to as cBSMPM) is proposed to address impact and penetration problems. The proposed contact algorithm is based on the Lagrangian multiplier method and enables the cBSMPM to accurately predict the contact, friction, and separation of two continuum bodies, where the numerical results are free from the cell-crossing noise of particles presented in the conventional MPM. In cBSMPM, the contact algorithm is implemented on the computational background grid built from the control points associated with the knot vectors of the B-splines. Correspondingly, a comprehensive criterion, including the nodal momentum condition and the physical distance between the bodies, is introduced to detect the contact event accurately. The Greville abscissa is utilized to determine the coordinates of computational grid nodes, facilitating the calculation of the actual distance between the approaching bodies. A comprehensive set of numerical examples is presented, and the numerical results from the proposed method agree well with the analytical solution and the experimental data documented in the literature, where the effectiveness of the proposed criterion is demonstrated in avoiding spurious contact and the corresponding stress oscillations. Moreover, it is demonstrated that increasing the B-spline basis function order can improve solution accuracy in terms of smooth stress/pressure field for impact and penetration problems.
AB - A novel contact algorithm for the B-spline material point method (referred to as cBSMPM) is proposed to address impact and penetration problems. The proposed contact algorithm is based on the Lagrangian multiplier method and enables the cBSMPM to accurately predict the contact, friction, and separation of two continuum bodies, where the numerical results are free from the cell-crossing noise of particles presented in the conventional MPM. In cBSMPM, the contact algorithm is implemented on the computational background grid built from the control points associated with the knot vectors of the B-splines. Correspondingly, a comprehensive criterion, including the nodal momentum condition and the physical distance between the bodies, is introduced to detect the contact event accurately. The Greville abscissa is utilized to determine the coordinates of computational grid nodes, facilitating the calculation of the actual distance between the approaching bodies. A comprehensive set of numerical examples is presented, and the numerical results from the proposed method agree well with the analytical solution and the experimental data documented in the literature, where the effectiveness of the proposed criterion is demonstrated in avoiding spurious contact and the corresponding stress oscillations. Moreover, it is demonstrated that increasing the B-spline basis function order can improve solution accuracy in terms of smooth stress/pressure field for impact and penetration problems.
KW - B-splines
KW - Contact method
KW - Extreme deformation
KW - Impact and penetration problem
KW - Material point method
UR - http://www.scopus.com/inward/record.url?scp=85176309810&partnerID=8YFLogxK
U2 - 10.1007/s00466-023-02414-8
DO - 10.1007/s00466-023-02414-8
M3 - Article
AN - SCOPUS:85176309810
SN - 0178-7675
VL - 73
SP - 1351
EP - 1369
JO - Computational Mechanics
JF - Computational Mechanics
IS - 6
ER -