Life Prediction of Desert Sand PVA-ECC in Salt Freezing Environment. Issue 1 (September 2020)

• Record Type: Journal Article
• Authors: Huifang, Hou; Min, Yan
• Is Part Of: IOP conference series. Volume 567:Issue 1(2020)
• Publication Date: 2020-09
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/567/1/012026
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: In order to predict the life of Desert Sand PVA-ECC in chloride environment and freeze-thaw cycle coupling, the average influence value (MIV) method was used to screen the input variables of the prediction model. Finally, the fiber volume, fly ash, silica fume and freeze-thaw cycles are selected as input variables, and the "4-13-1" error reverse transmission neural network model with relative dynamic elastic modulus as the output value is established. Finally, the GA-BP neural network is used to predict the life of the specimens which have not been destroyed by 300 freeze-thaw cycles. Finally, the best fiber volume fraction of salt freeze resistant life is 1%. Only after 475 freeze-thaw cycles.