GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems
SIAM Journal on Scientific and Statistical Computing
A fast algorithm for particle simulations
Journal of Computational Physics
On the numerical solution of the biharmonic equation in the plane
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Integral equation methods for Stokes flow and isotropic elasticity in the plane
Journal of Computational Physics
SIAM Journal on Applied Mathematics
Pracniques: further remarks on reducing truncation errors
Communications of the ACM
An efficient numerical method for studying interfacial motion in two-dimensional creeping flows
Journal of Computational Physics
Boundary integral methods for multicomponent fluids and multiphase materials
Journal of Computational Physics
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
Journal of Computational Physics
Laplace's equation and the Dirichlet-Neumann map: a new mode for Mikhlin's method
Journal of Computational Physics
Fast evaluation of electro-static interactions in multi-phase dielectric media
Journal of Computational Physics
A Fast and Stable Solver for Singular Integral Equations on Piecewise Smooth Curves
SIAM Journal on Scientific Computing
Hi-index | 31.46 |
The outstanding problem of finding a simple Muskhelishvili-type integral equation for stress problems on multiply connected domains is solved. Complex potentials are represented in a way which allows for the incorporation of cracks and inclusions. Several numerical examples demonstrate the generality and extreme stability of the approach. The stress field is resolved with a relative error of less than 10-10 on a large, yet simply reproducible, setup with a loaded square plate containing 4096 holes and cracks. Comparison with previous results in the literature indicates that general-purpose finite-element software may perform better than many special-purpose codes.