Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313201539> ?p ?o ?g. }
- W4313201539 endingPage "115490" @default.
- W4313201539 startingPage "115490" @default.
- W4313201539 abstract "To improve the efficiency of random vibration analysis of the train–bridge system, a new approach is proposed based on the adaptive sampling (AS) surrogate model in this paper. First, an initial sample set and a candidate sample set are generated by the method based on Generalized F (GF)-discrepancy. Second, a theoretical model is used to calculate the maximum dynamic response of the train–bridge system corresponding to the initial sample set, and a surrogate model based on Gaussian process regression (GPR) is constructed. Third, the learning function is used to identify new samples in the candidate sample set to optimize the current surrogate model until it meets satisfactory prediction accuracy. Finally, the maximum dynamic response of each sample in the representative sample set is predicted by the final surrogate model, and then the statistical properties of the dynamic response of the train–bridge system are analyzed. To verify the effectiveness of the proposed method, the distribution of training sample points and prediction accuracy of the AS surrogate model and the one-stage sampling (OS) surrogate model are compared and analyzed, taking the prediction of the maximum wheel load reduction rate (WLRR) of a train on the bridge as an example. On this basis, the prediction accuracy of the AS and OS surrogate models for the random characteristics of the train on the bridge is evaluated. The results show that the proposed method can significantly improve the prediction accuracy of the surrogate model without increasing the number of training samples." @default.
- W4313201539 created "2023-01-06" @default.
- W4313201539 creator A5004287307 @default.
- W4313201539 creator A5046143675 @default.
- W4313201539 creator A5046863679 @default.
- W4313201539 creator A5060692460 @default.
- W4313201539 creator A5066223731 @default.
- W4313201539 date "2023-03-01" @default.
- W4313201539 modified "2023-09-27" @default.
- W4313201539 title "An adaptive surrogate model approach for random vibration analysis of the train–bridge system" @default.
- W4313201539 cites W1999091229 @default.
- W4313201539 cites W2007535697 @default.
- W4313201539 cites W2048470906 @default.
- W4313201539 cites W2058542661 @default.
- W4313201539 cites W2065576828 @default.
- W4313201539 cites W2082673699 @default.
- W4313201539 cites W2097235968 @default.
- W4313201539 cites W2189711595 @default.
- W4313201539 cites W2301969413 @default.
- W4313201539 cites W2345798597 @default.
- W4313201539 cites W2603046885 @default.
- W4313201539 cites W2729558485 @default.
- W4313201539 cites W2731260048 @default.
- W4313201539 cites W2736144669 @default.
- W4313201539 cites W2771066539 @default.
- W4313201539 cites W2794415826 @default.
- W4313201539 cites W2795562280 @default.
- W4313201539 cites W2909154386 @default.
- W4313201539 cites W2942483895 @default.
- W4313201539 cites W2947937648 @default.
- W4313201539 cites W2950392564 @default.
- W4313201539 cites W2989686384 @default.
- W4313201539 cites W2998177419 @default.
- W4313201539 cites W3087582858 @default.
- W4313201539 cites W3094538362 @default.
- W4313201539 cites W4200294404 @default.
- W4313201539 cites W4226239777 @default.
- W4313201539 cites W4229054599 @default.
- W4313201539 cites W4293158365 @default.
- W4313201539 doi "https://doi.org/10.1016/j.engstruct.2022.115490" @default.
- W4313201539 hasPublicationYear "2023" @default.
- W4313201539 type Work @default.
- W4313201539 citedByCount "4" @default.
- W4313201539 countsByYear W43132015392023 @default.
- W4313201539 crossrefType "journal-article" @default.
- W4313201539 hasAuthorship W4313201539A5004287307 @default.
- W4313201539 hasAuthorship W4313201539A5046143675 @default.
- W4313201539 hasAuthorship W4313201539A5046863679 @default.
- W4313201539 hasAuthorship W4313201539A5060692460 @default.
- W4313201539 hasAuthorship W4313201539A5066223731 @default.
- W4313201539 hasConcept C100776233 @default.
- W4313201539 hasConcept C106131492 @default.
- W4313201539 hasConcept C11413529 @default.
- W4313201539 hasConcept C119857082 @default.
- W4313201539 hasConcept C121332964 @default.
- W4313201539 hasConcept C126322002 @default.
- W4313201539 hasConcept C131675550 @default.
- W4313201539 hasConcept C140779682 @default.
- W4313201539 hasConcept C142806159 @default.
- W4313201539 hasConcept C158622935 @default.
- W4313201539 hasConcept C163716315 @default.
- W4313201539 hasConcept C177264268 @default.
- W4313201539 hasConcept C185592680 @default.
- W4313201539 hasConcept C198531522 @default.
- W4313201539 hasConcept C199360897 @default.
- W4313201539 hasConcept C31972630 @default.
- W4313201539 hasConcept C41008148 @default.
- W4313201539 hasConcept C43617362 @default.
- W4313201539 hasConcept C61326573 @default.
- W4313201539 hasConcept C62520636 @default.
- W4313201539 hasConcept C71924100 @default.
- W4313201539 hasConcept C81692654 @default.
- W4313201539 hasConceptScore W4313201539C100776233 @default.
- W4313201539 hasConceptScore W4313201539C106131492 @default.
- W4313201539 hasConceptScore W4313201539C11413529 @default.
- W4313201539 hasConceptScore W4313201539C119857082 @default.
- W4313201539 hasConceptScore W4313201539C121332964 @default.
- W4313201539 hasConceptScore W4313201539C126322002 @default.
- W4313201539 hasConceptScore W4313201539C131675550 @default.
- W4313201539 hasConceptScore W4313201539C140779682 @default.
- W4313201539 hasConceptScore W4313201539C142806159 @default.
- W4313201539 hasConceptScore W4313201539C158622935 @default.
- W4313201539 hasConceptScore W4313201539C163716315 @default.
- W4313201539 hasConceptScore W4313201539C177264268 @default.
- W4313201539 hasConceptScore W4313201539C185592680 @default.
- W4313201539 hasConceptScore W4313201539C198531522 @default.
- W4313201539 hasConceptScore W4313201539C199360897 @default.
- W4313201539 hasConceptScore W4313201539C31972630 @default.
- W4313201539 hasConceptScore W4313201539C41008148 @default.
- W4313201539 hasConceptScore W4313201539C43617362 @default.
- W4313201539 hasConceptScore W4313201539C61326573 @default.
- W4313201539 hasConceptScore W4313201539C62520636 @default.
- W4313201539 hasConceptScore W4313201539C71924100 @default.
- W4313201539 hasConceptScore W4313201539C81692654 @default.
- W4313201539 hasLocation W43132015391 @default.
- W4313201539 hasOpenAccess W4313201539 @default.
- W4313201539 hasPrimaryLocation W43132015391 @default.
- W4313201539 hasRelatedWork W2063381173 @default.