FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3138487984> ?p ?o ?g. }

• W3138487984 abstract "The inverse dynamic analysis of vehicle-bridge (VB) systems provides a superior scheme for track irregularity identification using the onboard measurement data of vehicle dynamic responses. However, available algorithms face a great challenge when applied to high-speed railway bridges because of the increase in the number of unknown inputs, resulting in a degradation of identification accuracy. Here, we propose a condensation procedure to reduce the unknown inputs of the VB system, and then propose a novel algorithm for track irregularity identification using the augmented Kalman filter. A numerical simulation of a real continuous three-span simply supported railway bridge was conducted to validate the estimation accuracy of the proposed algorithm. Numerical results illustrate that the proposed algorithm can accurately estimate the track irregularities by using the vertical acceleration responses of the vehicle body only, thanks to the unknown input condensation. A comparative study demonstrates that the proposed algorithm outperforms the conventional track irregularity identification methods in terms of estimation accuracy. To evaluate the actual performance of the proposed algorithm, a set of onboard measurement data recorded by a typical high-speed train when running on the Hangzhou–Changsha high-speed railway in China was employed to identify the track irregularities of the railway line, and the results suggest that the proposed algorithm is highly efficient and low in cost. This study may help develop highly efficient real-time track irregularity monitoring in the years ahead." @default.
• W3138487984 created "2021-03-29" @default.
• W3138487984 creator A5037396648 @default.
• W3138487984 creator A5041110233 @default.
• W3138487984 creator A5063500113 @default.
• W3138487984 date "2021-06-01" @default.
• W3138487984 modified "2023-09-27" @default.
• W3138487984 title "Track Irregularity Monitoring on High-Speed Railway Viaducts: A Novel Algorithm with Unknown Input Condensation" @default.
• W3138487984 cites W1487413873 @default.
• W3138487984 cites W1614985130 @default.
• W3138487984 cites W1972934317 @default.
• W3138487984 cites W1983600840 @default.
• W3138487984 cites W1987059113 @default.
• W3138487984 cites W1994718618 @default.
• W3138487984 cites W2023297864 @default.
• W3138487984 cites W2027912130 @default.
• W3138487984 cites W2027933295 @default.
• W3138487984 cites W2031604650 @default.
• W3138487984 cites W2036308197 @default.
• W3138487984 cites W2070700577 @default.
• W3138487984 cites W2076182105 @default.
• W3138487984 cites W2083905774 @default.
• W3138487984 cites W2091738130 @default.
• W3138487984 cites W2093033941 @default.
• W3138487984 cites W2108415526 @default.
• W3138487984 cites W2142289879 @default.
• W3138487984 cites W2231610386 @default.
• W3138487984 cites W2550287164 @default.
• W3138487984 cites W2564914611 @default.
• W3138487984 cites W2593810899 @default.
• W3138487984 cites W2604481872 @default.
• W3138487984 cites W2750887135 @default.
• W3138487984 cites W2769626810 @default.
• W3138487984 cites W2772503756 @default.
• W3138487984 cites W2801077551 @default.
• W3138487984 cites W2809726459 @default.
• W3138487984 cites W2888728854 @default.
• W3138487984 cites W2898286552 @default.
• W3138487984 cites W2910971407 @default.
• W3138487984 cites W2925395014 @default.
• W3138487984 cites W2955059125 @default.
• W3138487984 cites W2985841026 @default.
• W3138487984 cites W2987755675 @default.
• W3138487984 cites W2998056399 @default.
• W3138487984 cites W3008318109 @default.
• W3138487984 cites W3196810118 @default.
• W3138487984 cites W4248402235 @default.
• W3138487984 cites W590831215 @default.
• W3138487984 cites W594114979 @default.
• W3138487984 doi "https://doi.org/10.1061/(asce)em.1943-7889.0001928" @default.
• W3138487984 hasPublicationYear "2021" @default.
• W3138487984 type Work @default.
• W3138487984 sameAs 3138487984 @default.
• W3138487984 citedByCount "7" @default.
• W3138487984 countsByYear W31384879842022 @default.
• W3138487984 countsByYear W31384879842023 @default.
• W3138487984 crossrefType "journal-article" @default.
• W3138487984 hasAuthorship W3138487984A5037396648 @default.
• W3138487984 hasAuthorship W3138487984A5041110233 @default.
• W3138487984 hasAuthorship W3138487984A5063500113 @default.
• W3138487984 hasConcept C100776233 @default.
• W3138487984 hasConcept C111919701 @default.
• W3138487984 hasConcept C11413529 @default.
• W3138487984 hasConcept C116834253 @default.
• W3138487984 hasConcept C117896860 @default.
• W3138487984 hasConcept C121332964 @default.
• W3138487984 hasConcept C126322002 @default.
• W3138487984 hasConcept C154945302 @default.
• W3138487984 hasConcept C157286648 @default.
• W3138487984 hasConcept C41008148 @default.
• W3138487984 hasConcept C44154836 @default.
• W3138487984 hasConcept C59822182 @default.
• W3138487984 hasConcept C71924100 @default.
• W3138487984 hasConcept C74650414 @default.
• W3138487984 hasConcept C86803240 @default.
• W3138487984 hasConcept C89992363 @default.
• W3138487984 hasConceptScore W3138487984C100776233 @default.
• W3138487984 hasConceptScore W3138487984C111919701 @default.
• W3138487984 hasConceptScore W3138487984C11413529 @default.
• W3138487984 hasConceptScore W3138487984C116834253 @default.
• W3138487984 hasConceptScore W3138487984C117896860 @default.
• W3138487984 hasConceptScore W3138487984C121332964 @default.
• W3138487984 hasConceptScore W3138487984C126322002 @default.
• W3138487984 hasConceptScore W3138487984C154945302 @default.
• W3138487984 hasConceptScore W3138487984C157286648 @default.
• W3138487984 hasConceptScore W3138487984C41008148 @default.
• W3138487984 hasConceptScore W3138487984C44154836 @default.
• W3138487984 hasConceptScore W3138487984C59822182 @default.
• W3138487984 hasConceptScore W3138487984C71924100 @default.
• W3138487984 hasConceptScore W3138487984C74650414 @default.
• W3138487984 hasConceptScore W3138487984C86803240 @default.
• W3138487984 hasConceptScore W3138487984C89992363 @default.
• W3138487984 hasIssue "6" @default.
• W3138487984 hasLocation W31384879841 @default.
• W3138487984 hasOpenAccess W3138487984 @default.
• W3138487984 hasPrimaryLocation W31384879841 @default.
• W3138487984 hasRelatedWork W1967545332 @default.
• W3138487984 hasRelatedWork W2023669428 @default.
• W3138487984 hasRelatedWork W2034259715 @default.
• W3138487984 hasRelatedWork W2085192326 @default.

• next