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    Prediction of the Postfire Flexural Capacity of RC Beam Using GA-BPNN Machine Learning 

    Source: Journal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 006
    Author(s): Bin Cai; Guo-liang Pan; Feng Fu
    Publisher: ASCE
    Abstract: To accurately predict the flexural capacity of postfire RC beams is imperative for fire safety design. In this paper, the residual flexural capacity of postfire RC beams is predicted based on a back-propagation (BP) neural ...
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    DSpace software copyright © 2002-2015  DuraSpace
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