Recent advances in science and technology have made modern computing and
engineering systems more powerful and sophisticated than ever. The increasing complexity …

In Engineering theory and applications, we think and operate in terms of logics and models
with some acceptable and reasonable assumptions. The present text is aimed at providing …

We identify the zero count problem (or overfitting) of cross-entropy-based methods in the
context of network reliability assessment, and propose a consistent Bayesian estimator that …

We present a versatile Monte Carlo method for estimating multidimensional integrals, with
applications to rare-event probability estimation. The method fuses two distinct and popular …

Abstract An Adaptive Metamodel-Based Subset Importance Sampling (AM-SIS) approach,
previously developed by the authors, is here employed to assess the (small) functional …

Many system reliability problems involve performance functions with a discontinuous
distribution. Such situations occur in both connectivity-and flow-based network reliability …

As engineered systems expand, become more interdependent, and operate in real-time,
reliability assessment is key to inform investment and decision making. However, network …

The quantification of system reliability is fundamental to the assessment of a system's safety
and resilience, and has been of interest to decision-makers. Since quantifying the system …

An efficient algorithm is presented for computing exact system and survival signatures of K-
terminal reliability in undirected networks with unreliable edges. K-terminal reliability is …

In this paper, an algorithm for the fast computation of network reliability bounds is proposed.
The evaluation of the network reliability is an intractable problem for very large networks …