A Bayesian deep learning approach for random vibration analysis of bridges subjected to vehicle dynamic interaction

2022 ◽  
Vol 170 ◽  
pp. 108799
Author(s):  
Huile Li ◽  
Tianyu Wang ◽  
Gang Wu
Keyword(s):  
Deep Learning ◽  
Vibration Analysis ◽  
Random Vibration ◽  
Dynamic Interaction ◽  
Learning Approach ◽  
Vehicle Dynamic ◽  
Random Vibration Analysis

Efficient non-stationary random vibration analysis of vehicle-bridge system based on an improved explicit time-domain method

2021 ◽  
Vol 231 ◽  
pp. 111786
Author(s):  
Helu Yu ◽  
Bin Wang ◽  
Cuipeng Xia ◽  
Zongyu Gao ◽  
Yongle Li
Keyword(s):  
Time Domain ◽  
Vibration Analysis ◽  
Random Vibration ◽  
Time Domain Method ◽  
Domain Method ◽  
Random Vibration Analysis ◽  
Bridge System

Random Vibration Analysis of the Underframe Structure on a High-Speed Train

ICTE 2015 ◽  
2015 ◽  
Author(s):  
Hanfei Guo ◽  
Xiaoxue Liu ◽  
Wei Tong ◽  
Youwei Zhang ◽  
Yanlei Zhang
Keyword(s):  
Vibration Analysis ◽  
High Speed ◽  
Random Vibration ◽  
High Speed Train ◽  
Random Vibration Analysis

Non-stationary random vibration analysis of structures under multiple correlated normal random excitations

2017 ◽  
Vol 400 ◽  
pp. 481-507 ◽  
Author(s):  
Yanbin Li ◽  
Sameer B. Mulani ◽  
Rakesh K. Kapania ◽  
Qingguo Fei ◽  
Shaoqing Wu
Keyword(s):  
Vibration Analysis ◽  
Random Vibration ◽  
Random Vibration Analysis

Random Vibration Analysis of Urban Underground Tunnels Under Vertical Earthquake Excitations Based on Mass–Damper–Spring Model

2017 ◽  
Vol 24 (3) ◽  
pp. 290-300
Author(s):  
Haitao Zhu ◽  
Tianjiao Tang ◽  
Puyang Zhang ◽  
Jianqiao Sun
Keyword(s):  
Vibration Analysis ◽  
Random Vibration ◽  
Spring Model ◽  
Mass Damper ◽  
Random Vibration Analysis

Modeling and Analysis of Flow-Induced Vibrations in Circular Saws

1985 ◽  
Vol 107 (2) ◽  
pp. 196-202
Author(s):  
M. C. Leu ◽  
M. Jirapongphan
Keyword(s):  
Vibration Analysis ◽  
Random Vibration ◽  
Pressure Fluctuations ◽  
Time Function ◽  
Resonant Vibration ◽  
Modeling And Analysis ◽  
Flow Induced Vibrations ◽  
Flow Pressure ◽  
Circular Saws ◽  
Random Vibration Analysis

Two types of flow-induced vibrations in idling circular saws, random vibration and resonant vibration, were modeled and analyzed. The excitation source, which is the flow pressure fluctuations, was modeled as discrete forces acting at the saw teeth. The response was assumed to be uncoupled from the excitation in the random vibration analysis but coupled with the excitation in the resonant vibration analysis. The random vibration was solved in terms of statistical rms amplitudes and the resonant vibration as a time function. The analytical results captured many characteristics of vibration phenomena observed in idling saw experiments.

Sign in / Sign up

Export Citation Format

Share Document