Matsuoka et al., 2020 - Google Patents
Bayesian time–frequency analysis of the vehicle–bridge dynamic interaction effect on simple-supported resonant railway bridgesMatsuoka et al., 2020
View HTML- Document ID
- 16272890557295297928
- Author
- Matsuoka K
- Kaito K
- Sogabe M
- Publication year
- Publication venue
- Mechanical Systems and Signal Processing
External Links
Snippet
Monitoring the conditions or damages of bridges under train passages demands a high- accuracy modal-characteristic identification method that separates the apparent fluctuations caused by vehicle–bridge dynamic interaction (VBI) effects from other fluctuations. This …
- 230000000694 effects 0 title abstract description 97
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5086—Mechanical design, e.g. parametric or variational design
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Matsuoka et al. | Bayesian time–frequency analysis of the vehicle–bridge dynamic interaction effect on simple-supported resonant railway bridges | |
Song et al. | A spatial coupling model to study dynamic performance of pantograph-catenary with vehicle-track excitation | |
JP6543863B2 (en) | Structural performance survey method of railway bridge | |
Wang et al. | Extraction of bridge fundamental frequency from estimated vehicle excitation through a particle filter approach | |
Malekjafarian et al. | On the use of a passing vehicle for the estimation of bridge mode shapes | |
Zhan et al. | Bridge identification and damage detection using contact point response difference of moving vehicle | |
Malekjafarian et al. | A review of indirect bridge monitoring using passing vehicles | |
Shu et al. | The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model | |
Di Gialleonardo et al. | The influence of track modelling options on the simulation of rail vehicle dynamics | |
Quirke et al. | Railway bridge damage detection using vehicle-based inertial measurements and apparent profile | |
Zhan et al. | An indirect bridge frequency identification method using dynamic responses of high-speed railway vehicles | |
Matsuoka et al. | Bayesian estimation of instantaneous frequency reduction on cracked concrete railway bridges under high-speed train passage | |
Kaiser et al. | Anti-yaw damping monitoring of railway secondary suspension through a nonlinear constrained approach integrated with a randomly variable wheel-rail interaction | |
Xiao et al. | Simultaneous identification of the frequencies and track irregularities of high-speed railway bridges from vehicle vibration data | |
JP2018031676A (en) | Method for inspecting structural performance of railroad bridge | |
Li et al. | Enhanced drive‐by bridge modal identification via dual Kalman filter and singular spectrum analysis | |
Xiao et al. | Identification of frequencies and track irregularities of railway bridges using vehicle responses: a recursive Bayesian Kalman filter algorithm | |
Peng et al. | Mobile crowdsensing framework for drive-by-based dense spatial-resolution bridge mode shape identification | |
Wang et al. | A frequency domain analysis framework for assessing overturning risk of high-speed trains under crosswind | |
Yang et al. | Iterative reference-driven S-transform time-varying parameter identification for bridges under moving vehicle | |
Xiao et al. | Track irregularity monitoring on high-speed railway viaducts: A novel algorithm with unknown input condensation | |
Mousavi et al. | A spline method based on the crack induced deflection for bridge damage detection | |
Lan et al. | Bridge frequency identification in city bus monitoring: A coherence-PPI algorithm | |
Liu et al. | An effective procedure for extracting mode shapes of simply-supported bridges using virtual contact-point responses of two-axle vehicles | |
Yang et al. | Refining the modal properties of damped bridges scanned by a single-axle test vehicle with field proof |