A convolution neural network (CNN) is developed in this work to detect damage in pylons by measuring their vibratory response. More specifically, damage detection through testing …
ET Lee, YS Hong, HC Eun - Sensors, 2022 - mdpi.com
The frequency response function (FRF) in the frequency domain is a black box used to collect physical information and to indicate the modal characteristics of a dynamic system …
M Matsubara, T Tanaka, D Tajiri… - Archive of Applied …, 2023 - Springer
This study aims to develop a multiple excitation system that improves the identification of modal parameters for the vibration testing of tires. Rubber, the main tire material, shows high …
D Tajiri, T Tanaka, M Matsubara, S Kawamura… - Archive of Applied …, 2023 - Springer
This study proposes a methodology to identify the modal damping ratio of a highly damped structure. Specifically, we explain the change in the modal damping ratio of the object itself …
This work reports on the influence that mass attachments and soft soil support conditions have on the vibratory motion of flexible pylons with non-uniform cross-section, both for axial …
D Tajiri, M Matsubara, M Ojiro, M Sato… - SAE International Journal …, 2021 - sae.org
Few studies have investigated the vibration characteristics of motorcycle tires. Tires have high damping characteristics; therefore, resonance peaks do not appear clearly, and it is di …
This paper presents a comprehensive exploration of a multi-objective optimization methodology targeting structural parameters to enhance the dynamic properties of dissimilar …
The structure is deteriorated by various factors such as environmental effect and unexpected overloading. The structural performance in service is evaluated by various non-destructive …