An Efficient Algorithm For Simulating Fracture Using Large Fuse Networks
arXiv:cond-mat/0503719 · doi:10.1088/0305-4470/36/45/004
Abstract
The high computational cost involved in modeling of the progressive fracture simulations using large discrete lattice networks stems from the requirement to solve {\it a new large set of linear equations} every time a new lattice bond is broken. To address this problem, we propose an algorithm that combines the multiple-rank sparse Cholesky downdating algorithm with the rank-p inverse updating algorithm based on the Sherman-Morrison-Woodbury formula for the simulation of progressive fracture in disordered quasi-brittle materials using discrete lattice networks. Using the present algorithm, the computational complexity of solving the new set of linear equations after breaking a bond reduces to the same order as that of a simple {\it backsolve} (forward elimination and backward substitution) {\it using the already LU factored matrix}. That is, the computational cost is , where denotes the number of non-zeros of the Cholesky factorization of the stiffness matrix . This algorithm using the direct sparse solver is faster than the Fourier accelerated preconditioned conjugate gradient (PCG) iterative solvers, and eliminates the {\it critical slowing down} associated with the iterative solvers that is especially severe close to the critical points. Numerical results using random resistor networks substantiate the efficiency of the present algorithm.
15 pages including 1 figure. On page pp11407 of the original paper (J. Phys. A: Math. Gen. 36 (2003) 11403-11412), Eqs. 11 and 12 were misprinted that went unnoticed during the proof reading stage
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Cited by in corpus (14)
- Statistical Models of Fracture
- From damage percolation to crack nucleation through finite size criticality
- Crack roughness and avalanche precursors in the random fuse model
- Crack avalanches in the three dimensional random fuse model
- Dielectric breakdown and avalanches at non-equilibrium metal-insulator transitions
- Percolation and localization in the random fuse model
- Crack Roughness in the 2D Random Threshold Beam Model
- Optimization and plasticity in disordered media
- An Efficient Block Circulant Preconditioner For Simulating Fracture Using Large Fuse Networks
- Scaling of Fracture Strength in Disordered Quasi-Brittle Materials
- Energy dissipation statistics in the random fuse model
- Role of the sample thickness in planar crack propagation
- Experimental Realization of the Fuse Model of Crack Formation
- Effect of Disorder and Notches on Crack Roughness