Uncertainty quantification is not yet widely adapted in the design process of
engineering components despite its importance for achieving sustainable and
resource-efficient structures. This is mainly for two reasons:
Tracing the effect of uncertainty in engineering simulations is a
computationally challenging task. This is especially true for inelastic
simulations, as the whole loading history influences the results.
Implementations of efficient schemes in standard finite element software
are lacking.
In this paper, we tackle both problems. We propose a weakly intrusive implementation of
time-separated stochastic mechanics in the finite element software Abaqus.
Time-separated stochastic mechanics is an efficient and accurate method for the
uncertainty quantification of structures with inelastic material behavior. The method
effectively separates the stochastic but time-independent from the deterministic but
time-dependent behavior. The resulting scheme consists only two deterministic finite
element simulations for homogeneous material fluctuations in order to approximate
the stochastic behavior. This brings down the computational cost compared to
standard Monte Carlo simulations by at least two orders of magnitude while
ensuring accurate solutions. In this paper, the implementation details in
Abaqus and numerical comparisons are presented for the example of damage
simulations.