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- W2372603910 abstract "Based on physical and mechanical property of frozen clay, the authors carried out long-term creep test in detail on frozen clay under triaxial stress, the effects are discussed on the creep property of frozen clay under the conditions of different temperature, axial stress and confining stress. A new method for testing creep property by using of artificial neural network is presented and BP network model is established in this paper. Test data and forecasting result is coincided very well, which indicates that the method has certainly theoretical and practical value." @default.
- W2372603910 created "2016-06-24" @default.
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- W2372603910 date "2003-01-01" @default.
- W2372603910 modified "2023-09-23" @default.
- W2372603910 title "Neural network prediction of triaxial creep property of frozen clay" @default.
- W2372603910 hasPublicationYear "2003" @default.
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