Prediction of the shear capacity of ultrahigh-performance concrete beams using neural network and genetic algorithm

• Published in: Scientific reports Vol. 13; no. 1; p. 2145
• Main Authors: Hou, Rui, Hou, Qi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 07.02.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/166/986; Algorithms; Correlation coefficient; Design; Genetic algorithms; Humanities and Social Sciences; multidisciplinary; Neural networks; Prediction models; Science; Science (multidisciplinary); Sensitivity analysis; Shear strength; Shear tests

Currently, concrete structures have increasingly higher requirements for the shear capacity of beams, and ultrahigh-performance concrete (UHPC) beams are increasingly widely used. To facilitate the design of UHPC beams, this paper constructs a UHPC beam shear strength prediction model. First, static...