(Peer review & Similarity) The Prediction of Sti�ness of Bamboo-Reinforced Concrete Beams Using Experiment Data and Artificial Neural Networks (ANNs)

Stiffness is the main parameter of the beam’s resistance to deformation. Based on advanced
research, the sti�ness of bamboo-reinforced concrete beams (BRC) tends to be lower than the sti�ness
of steel-reinforced concrete beams (SRC). However, the advantage of bamboo-reinforced concrete
beams has enough good ductility according to the fundamental properties of bamboo, which have
high tensile strength and high elastic properties. This study aims to predict and validate the sti�ness of
bamboo-reinforced concrete beams from the experimental results data using artificial neural networks
(ANNs). The number of beam test specimens were 25 pieces with a size of 75mm� 150mm� 1100 mm.
The testing method uses the four-point method with simple support. The results of the analysis
showed the similarity between the sti�ness of the beam’s experimental results with the artificial
neural network (ANN) analysis results. The similarity rate of the two analyses is around 99% and
the percentage of errors is not more than 1%, both for bamboo-reinforced concrete beams (BRC) and
steel-reinforced concrete beams (SRC).