S-SPH extends mesh-free SPH to stochastic problems via polynomial chaos and KL expansions, delivering mean and variance statistics that match Monte Carlo at up to 1000 times lower cost on benchmark advection and Burgers flows.
Total lagrangian smoothed particle hydrodynamics with an improved bond-based deformation gradient for large strain solid dynamics
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Stochastic Smoothed Particle Hydrodynamics for Stochastic Mechanics Problems
S-SPH extends mesh-free SPH to stochastic problems via polynomial chaos and KL expansions, delivering mean and variance statistics that match Monte Carlo at up to 1000 times lower cost on benchmark advection and Burgers flows.