Structural systems are consistently encountering the variabilities in material properties,
undesirable defects and loading environments, which may potentially shorten their designed …

Stochastic model updating (SMU) has been increasingly applied in quantifying structural
parameter uncertainty from responses variability. SMU for parameter uncertainty …

The propagation of uncertainty in composite structures possesses significant computational
challenges. Moreover, probabilistic descriptions of uncertain model parameters are not …

Over the last few decades, uncertainty quantification in composite materials and structures
has gained a lot of attention from the research community as a result of industrial …

轻质, 高精度的柔性多体系统被广泛应用于实际工程领域中. 由于实际设计公差,
制造误差及环境温度等多种不确定因素的存在, 使得柔性多体系统的结构参数(物理参数和几何 …

Bayesian inference plays a vital role in Structural Health Monitoring (SHM) by assessing
structural integrity through probabilistic model updating using monitoring data. A crucial …

This paper quantifies the compound effect of source-uncertainties on low-velocity impact of
functionally graded material (FGM) plates following a coupled surrogate based finite …

This article presents a non-probabilistic fuzzy based multi-scale uncertainty propagation
framework for studying the dynamic and stability characteristics of composite laminates with …

A dynamical uncertain system is studied in this paper. Two kinds of uncertainties are
addressed, where the uncertain parameters are described through random variables and/or …

Self-excited vibrations appear in many mechanical systems with sliding contacts. There are
several mechanisms whereby friction can cause the self-excited vibration to become …