The kinematic trajectory accuracy reliability is an essential index to evaluate the service
performance of industrial robots. This study proposes a new kinematic trajectory accuracy …

In this paper, Bayesian support vector regression (SVR) model is developed for structural
reliability analysis adaptively. Two SVR models, namely, least-square SVR and ε-SVR, are …

Assessing the failure probability of complex structure is a difficult task in presence of various
uncertainties. In this paper, a new adaptive approach is developed for reliability analysis by …

Most engineered systems are designed with a passive and fixed design capacity and,
therefore, may become unreliable in the presence of adverse events. Currently, most …

Uncertainty quantification and propagation play a crucial role in designing and operating
chemical processes. This study computationally evaluates the performance of commonly …

Abstract System-of-systems approaches for integrated assessments have become prevalent
in recent years. Such approaches integrate a variety of models from different disciplines and …

Efficient assessment of mechanical system reliability subject to arbitrary probability
distributions and dependent input parameters signifies an important yet challenging task. To …

The structural response field is crucial for understanding mechanical behavior, especially
under uncertain conditions. However, current uncertainty quantification predominantly …

This paper proposes a novel generalized n th-order perturbation isogeometric finite-element
method (GNP-IGA-FEM) for uncertainty quantification of mechanical properties of …

This study aims to develop a rotational sparse grid (R-SPGR) method for statistical moment
evaluation and structural reliability analysis with enhanced accuracy and efficiency. The …