HP Wan, WX Ren - Mechanical Systems and Signal Processing, 2016 - Elsevier
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 …
J Zeng, MD Todd, Z Hu - Journal of Civil Structural Health Monitoring, 2023 - Springer
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 …
A Nobari, H Ouyang, P Bannister - Journal of Sound and Vibration, 2015 - Elsevier
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 …