![]() | Up a level |
Cai, B., Pan, G-L. and Fu, F. ORCID: 0000-0002-9176-8159 (2020).
Prediction of the Postfire Flexural Capacity of RC Beam Using GA-BPNN Machine Learning.
Journal of Performance of Constructed Facilities, 34(6),
04020105..
doi: 10.1061/(asce)cf.1943-5509.0001514
Cai, B., Hao, L. and Fu, F. ORCID: 0000-0002-9176-8159 (2020).
Postfire reliability analysis of axial load bearing capacity of CFRP retrofitted concrete columns.
Advances in Concrete Construction,
Cai, B., Wu, A. and Fu, F. ORCID: 0000-0002-9176-8159 (2020).
Bond behavior of PP fiber-reinforced cinder concrete after fire exposure.
Computers and Concrete, An International Journal, 26(2),
pp. 115-125.
doi: 10.12989/cac.2020.26.2.115
Cai, B., Pan, G. and Fu, F. ORCID: 0000-0002-9176-8159 (2020).
Prediction of the post-fire flexural capacity of RC beam using GA-BPNN Machine Learning.
Journal of Performance of Constructed Facilities,
doi: 10.1061/(ASCE)CF.1943-5509.0001514
Cai, B., Li, B. and Fu, F. ORCID: 0000-0002-9176-8159 (2020).
Finite element analysis and calculation method of residual flexural capacity of post-fire RC beams.
International Journal of Concrete Structures and Materials, 14,
p. 58.
doi: 10.1186/s40069-020-00428-7
Cai, B., Zhang, B. and Fu, F. ORCID: 0000-0002-9176-8159 (2019).
Post-fire reliability analysis of concrete beams retrofitted with polymers: a new approach.
Proceedings of the Institution of Civil Engineers: Structures and Buildings,
doi: 10.1680/jstbu.19.00037
Cai, B., Long-Fei, X. and Fu, F. ORCID: 0000-0002-9176-8159 (2019).
Shear Resistance Prediction of post-fire reinforced concrete beams using artificial neural network.
International Journal of Concrete Structures and Materials, 13,
46..
doi: 10.1186/s40069-019-0358-8