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Accession number;01A0217387
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| Title;Identification of unknown parameters in wheel/track interaction analysis with neural network. |
| Author;
SUZUKI TAKAHIRO
(Niigata Univ., Grad. Sch.)
ABE KAZUHISA
(Niigata Univ.)
FURUTA MASARU
(Tokyo Metrop. Gov.)
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Journal Title;Nippon Kikai Gakkai Kotsu, Butsuryu Bumon Taikai Koen Ronbunshu
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Journal Code:L1577A
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ISSN:
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VOL.9th;NO.;PAGE.35-38(2000)
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| Figure&Table&Reference;FIG.6, TBL.6, REF.6 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;Identification of parameters used in the wheel/railway dynamic interaction analysis is attempted. The proposed method is constructed by means of the neural network(NN). In the present problem, the unknown parameters, such as damping constants of the rail and sleeper pads, and shear moduli of the ballast and concrete foundation, are considered as the output data of the NN. As the input data, the spectrum ratios of sleeper/rail and foundation/rail are employed. Learning of the NN is accomplished based on the solutions obtained by numerical model. The wheel/track interaction analysis method is constructed with integral equation and finite element methods. Through numerical experiments, validity of the proposed identification method is investigated. (author abst.) |
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