The Evaluation of Axial Stress in Continuous Welded Rails via Three-Dimensional Bridge–Track Interaction

Manovachirasan, Anaphat; Suthasupradit, Songsak; Choi, Jun-Hyeok; Kim, Bumjoon J.; Kim, Ki-Du

doi:10.1007/s13296-018-0058-2

Cited by 5 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Excessive buckling loads on the tracks may lead to track misalignment and result in an accident. Several attempts have been made for the rail axial load monitoring, using a variety of different sensors including strain gauges and fiber optic (FO) sensors, using distributed sensing as well as fiber Bragg grating (FBG) sensors [2,3,4,5]. The problems with these techniques are the accuracy of the estimation and in the case of the change in the structure, the inability to avoid false errors.…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter Based Load Monitoring in Beam Like Structures Using Fibre-Optic Strain Sensors

Soman

Ostachowicz

2018

Sensors

View full text Add to dashboard Cite

The paper presents a proof of concept of a new methodology for the load estimation in beam-like structures under complex loading. The paper customizes a Kalman Filter (KF) based estimation technique which is shown to be robust to the presence of measurement noise as well as the changing condition of the beam for estimation of loads in beam-like structures. The methodology was validated using numerical as well as experimental data. The initial studies indicate that the proposed methodology has promise for applications where monitoring and classification of the strains is necessary, such as those in continuous welded rails.

show abstract