Time-variant reliability evaluation including finite element (FE) analysis requires relatively
large computational efforts, as FE analysis is time-consuming and the number of calls to FE …

The probability density evolution method (PDEM) synthesizing the change of probability
measure (COM) provides a compatible framework for quantifying simultaneous aleatory and …

The present paper presents a framework for solving dynamic reliability–based design
optimization (DRBDO) problems. The proposed approach is based on a sequential …

In this work, we present a priori error estimates for local reliability-based sensitivity analysis.
The Score Function Method and the Weak Approach using Monte Carlo Simulation are …

For stochastic dynamical systems with multiple uncertain parameters, it is often of interest to
detect which parameters are dominant, in which the global sensitivity analysis may be one of …

The tropical cyclone (TC) wind hazard assessment formulates a change-of-random-variable
problem, which maps the probability space of controlling parameters to that of the TC …

In this work, a novel Fréchet-derivative-based global sensitivity analysis is incorporated into
the probability density evolution method for the simultaneous reliability and sensitivity …

This contribution focuses on addressing the challenging problem of dynamic-reliability-
based topology optimization (DRBTO) of engineering structures involving uncertainties by …

This contribution focuses on evaluating the sensitivity associated with first excursion
probabilities of linear structural systems subject to stochastic Gaussian loading. The …

In practical engineering, the joint torques of a 6-degree-of-freedom (6-DoF) industrial robot
can be measured in two dimensions of space and time, ie, the torque response of six joints …