Ö Arslan, M Aykan, HN Özgüven - Mechanical Systems and Signal …, 2011 - Elsevier
Structural nonlinearity is a common phenomenon encountered in engineering structures under dynamic loading. In several cases, linear theory can suffice to analyze nonlinear …
G Zhang, C Zang, MI Friswell - Mechanical Systems and Signal Processing, 2020 - Elsevier
A strongly nonlinear system often has multiple solutions under harmonic excitation. However, measuring all of these multiple responses in structural dynamics is challenging …
JH Kim, HK Chang, DC Han, DY Jang, SI Oh - CIRP annals, 2005 - Elsevier
A cylindrical capacitive displacement sensor (CCDS) was developed and applied for monitoring end milling processes. Dynamic characteristics of a spindle-assembly were …
Structural modification methods were proved to be very useful for large structures, especially when modification is local. Although there may be inherent nonlinearities in a structural …
P Wang, J Wang, TC Lim, L Lu, L Pan - Mechanical Systems and Signal …, 2020 - Elsevier
The inverse sub-structuring method has been proposed and further developed for multi- component systems to predict the component-level frequency response functions (FRFs) …
L Heller, E Foltete, J Piranda - Journal of Sound and Vibration, 2009 - Elsevier
The paper is focused on the nonlinear damping capacity of built-up structures owing to presence of frictional joints. To quantify and characterise the nonlinear dynamic behaviour of …
YH Chong, M Imregun - Mechanical Systems and Signal Processing, 2000 - Elsevier
This paper presents a general methodology for the coupling analysis of systems with relatively weak non-linearities by assuming that the response remains harmonic under …
This book is dedicated to the general study of fluid structure interaction with consideration of uncertainties. The fluid-structure interaction is the study of the behavior of a solid in contact …
A Koyuncu, E Cigeroglu, HN Özgüven - Mechanical Systems and Signal …, 2017 - Elsevier
In this study, a new approach is proposed for identification of structural nonlinearities by employing cascaded optimization and neural networks. Linear finite element model of the …