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Results of training for prediction model of splitting tensi..:
Song Ling
;
Du Chengbin
;
Yao Yafeng
.
https://figshare.com/articles/dataset/Results_of_training_for_prediction_model_of_splitting_tensile_strength_of_secondary_steel_fiber_reinforced_concrete_/25319015. , 2024
Link:
https://doi.org/10.1371/journal.pone.0299149.t008
RT Journal T1
Results of training for prediction model of splitting tensile strength of secondary steel fiber reinforced concrete
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25319015&Exemplar=1&LAN=DE A1 Song Ling A1 Du Chengbin A1 Yao Yafeng A1 Li Yongheng YR 2024 K1 Biophysics K1 Biochemistry K1 Biotechnology K1 Space Science K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 rock anchor beams K1 providing technical support K1 fuzzy random method K1 ensuring construction quality K1 milled steel fibers K1 using central value K1 splitting tensile tests K1 steel fiber variety K1 improved model algorithm K1 splitting tensile strength K1 secondary steel fiber K1 tensile strength K1 steel fiber K1 splitting strengths K1 splitting properties K1 safe construction K1 measured value K1 secondary concrete K1 traditional one K1 results show K1 prediction model K1 output information K1 input information K1 innovatively established K1 engineering uncertainty K1 engineering reliability K1 effectively improved K1 different varieties K1 convergence rate K1 comprehensive influence K1 15 % K1 10 % JF https://figshare.com/articles/dataset/Results_of_training_for_prediction_model_of_splitting_tensile_strength_of_secondary_steel_fiber_reinforced_concrete_/25319015 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0299149.t008 DO https://doi.org/10.1371/journal.pone.0299149.t008 SF ELIB - SuUB Bremen
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