In structural reliability analysis, the estimation of rare failure probability is a significant
challenge. Directional importance sampling may address this challenge when a quasi …

An efficient multi-objective reliability-based design optimization (MO-RBDO) method is
proposed based on the probability and interval hybrid model. With probability variables …

The importance sampling is merged with directional simulation in this paper. A sampling
function is defined on the unit hyper sphere which samples random directions. The …

The digital twin (DT) is a virtual replica of real-world buildings, processes, structures, people,
and systems created and maintained to answer questions about its physical part, the …

In this paper, an integrated approach for a holistic (involving notions of resiliency and
sustainability) building design is presented to select the optimal design alternative based on …

Reliability analysis of linear discretized structural systems with interval uncertainties
subjected to stationary Gaussian random excitation is addressed. Under the assumption of …

Traditional reliability-based design optimization (RBDO) generally describes uncertain
variables using random distributions, while some crucial distribution parameters in practical …

This paper proposes a novel envelope-function-based algorithm for time-dependent
reliability analysis considering random and interval uncertainties. First, the envelope …

In earthquake engineering, recorded accelerograms must be critically analyzed to predict
the seismic behavior of structures under future earthquakes. Recent studies have …

Monte Carlo simulation (MCS) is a useful tool for computation of probability of failure in
reliability analysis. However, the large number of required random samples makes it time …