2024
DOI: 10.1007/s00419-024-02590-w
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Efficient and accurate uncertainty quantification in engineering simulations using time-separated stochastic mechanics

Hendrik Geisler,
Philipp Junker

Abstract: A robust method for uncertainty quantification is undeniably leading to a greater certainty in simulation results and more sustainable designs. The inherent uncertainties of the world around us render everything stochastic, from material parameters, over geometries, up to forces. Consequently, the results of engineering simulations should reflect this randomness. Many methods have been developed for uncertainty quantification for linear elastic material behavior. However, real-life structure often exhibit inel… Show more

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