Support vector machine (SVM) is a powerful machine learning technique relying on the
structural risk minimization principle. The applications of SVM in structural reliability analysis …

Purpose The purpose of this paper is to briefly summarize and review the theories and
methods of complex structures' dynamic reliability. Complex structures are usually …

Generally, the static and dynamic reliabilities of structures are addressed separately in the
existing methods except the computationally expensive stochastic sampling-based …

Considering the intricate correlation among uncertain parameters from multiple sources in
engineering practice, the bounded region describing parameter uncertainty displays …

Non-Gaussian fluctuating wind pressure occurs in the separation zone of a structure, which
will cause structural fatigue damage. The study of non-Gaussian wind pressure, accordingly …

High-dimensional reliability analysis remains a grand challenge since most of the existing
methods suffer from the curse of dimensionality. This paper introduces a novel high …

The prediction of the compressive strength (CS) of graphene oxide reinforced cement
composites (GORCCs) is crucial for accelerating their potential application in civil …

To improve the modeling accuracy and simulation efficiency of probabilistic creep-fatigue life
evaluation, a decomposed collaborative time-variant Kriging surrogate model (DCTKS) is …

Time-dependent reliability-based design optimization is an effective tool to guarantee a high
reliability of the product during the full life cycle. However, the necessarily repeated …

Dynamic systems modeled by computationally intensive numerical models with time-
dependent output are common in engineering. Efficient uncertainty propagation of such …