As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

In electric power systems, there exist many diverse uncertain parameters such as loads,
electricity price, wind power generation and photovoltaic power generation. In power system …

Traditional structural uncertainty analysis is mainly based on probability models and
requires the establishment of accurate parametric probability distribution functions using …

The first order approximate reliability method (FARM) and second order approximate
reliability method (SARM) are formulated based on evidence theory in this paper. The …

In this paper, we propose a method for time-variant uncertainty analysis, namely, the “non-
probabilistic convex model process”, which provides an effective mathematical tool for the …

This paper presents a mixed perturbation Monte-Carlo method for static and reliability
analysis of structural systems with a mixture of random and interval parameters/loadings …

In this paper, a new method for constructing the probability box (p-box) model is developed
based on maximum entropy principle. The distribution characteristics of probability box …

Uncertain static analysis of an engineering structure with diverse type of non-deterministic
system parameter is investigated in this study. Unlike the traditional hybrid uncertain static …

A new robust topology optimization method based on level sets is developed for the
concurrent design of dynamic structures composed of uniform periodic microstructures …

This paper proposes a new non-probabilistic robust topology optimization approach for
structures under interval uncertainty, as a complementarity of the probabilistic robust …