Reliability of blades has a profound impact on both serviceability and safety of offshore wind
turbines. Reliability estimation of wind turbine blade is a complex and time-consuming …

This paper presents an optimization of the Active learning Kriging (AK) reliability assessment
of laterally loaded pile groups modeled using random nonlinear finite element (FE) where …

In the research of viscoelastic damping vibration reduction, minimizing the vibration
response of structures with viscoelastic damping layer is usually the most straightforward …

For the reliability analysis of complex engineering structures, the estimation of the bounds of
failure probability with interval distribution parameters is an important task when the perfect …

In active learning Kriging (AK) reliability-based analysis, a surrogate model is trained in a
stepwise manner and used to evaluate the reliability of the desired system by reducing the …

This study investigates the rare-event system reliability analysis with numerous failure
regions. A novel method, based on the parallel tempering (PT) and importance sampling (IS) …

In engineering, evaluating the failure probability of structures with complex performance
functions is a challenging task. Some active learning methods based on the Kriging model …

A unified uncertainty analysis method for estimating uncertainty distribution is proposed to
deal with the uncertain propagation problem involving probabilistic, evidence, fuzzy and …

Abstract [eng] Evolutionary processes found in nature are of interest to developers and
practitioners of artificial intelligence because of the ability to optimize, detect, classify, and …

The loading manipulator is an important actuator in modern artillery automatic loading
systems, and it is crucial to evaluate its positioning accuracy accurately and efficiently. This …