Recently, multiple Kriging (MK) metamodels have demonstrated their advantages in system
slope reliability analysis. However, the inherent spatial variability of soil properties has not …

Adaptive surrogate-based reliability analysis methods have garnered significant attention
due to their potential to enhance computational efficiency in accurately estimating failure …

With coupled wind and wave loads suffered by sea-crossing bridges, it is challenging to
include uncertainties for assessing bridge serviceability. In this study, an efficient …

Bayesian active learning methods have emerged for structural reliability analysis,
showcasing more attractive features compared to existing active learning methods. The …

This paper explores the application of active learning strategies to adaptively learn Sobol
indices for global sensitivity analysis. We demonstrate that active learning for Sobol indices …

Structural reliability analysis poses significant challenges in engineering practices, leading
to the development of various state-of-the-art approximation methods. Active learning …

The vibration response of rolling bearings exhibits random and uncertain characteristics due
to factors such as random process loads, material property degradation, and uncertain …

Abstract Design optimization considering the presence of uncertainties in parameters poses
an extremely challenging problem. The source of difficulties comes with reliability-based …

Overcoming the “curse of dimensionality” in high-dimensional reliability analysis is still an
enduring challenge. This paper proposes an innovative deterministic sampling method …

Abstract Al-Islam Kemuhammadiyahan, as one of the characteristics of PTM
(Muhammadiyah Higher Education), is the implementation of Islamic religious education in …