Structural Reliability Analysis Using Deterministic Hybrid Simulations and Adaptive Kriging Metamodeling

Abstract eng:
Reliability analysis aims at determining the probability of failure of a stochastic system and typically relies on purely numerical simulations. Nevertheless, trusting mathematical models up to failure can be questioned, especially for structural components characterized by a strongly nonlinear response. From this perspective, hybrid simulation is as a suitable candidate to replace pure numerical time-history analyses in the process of structural reliability assessment. Arguably, hybrid simulation suffers the same limitations as the large finite element models, making non-intrusive reliability methods based on metamodeling the most attractive solution strategy for hybrid simulation based reliability analysis. Along these lines, this paper explores a combination of an active learning reliability method based on Kriging metamodeling and hybrid simulation, which is used to provide the real structural response. A numerical validation of the proposed approach is presented for a nonlinear two-degrees-of- freedom series system. The selected benchmark case study covers a wide class of structures whose response can be evaluated using hybrid simulation.

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