建筑钢结构进展2024，Vol.26Issue(3)：12-20,9.DOI:10.13969/j.cnki.cn31-1893.2024.03.002
预制装配式型钢混凝土梁抗剪承载力的智能模型研究
The Shear Capacity Intelligent Model for Prefabricated Steel Reinforced Concrete Beams
摘要
Abstract
By establishing an intelligent model for calculating the shear capacity of prefabricated steel reinforced concrete(PSRC)beams,the calculation accuracy and applicability are improved.After combing through the parameters that affect the shear bearing capacity of PSRC beams,14 main influencing parameters were selected.Based on the BP artificial neural network algorithm,with 14 main influencing parameters as the input layer,a three-layer artificial neural network system was initially constructed,using a trial-and-error method to determine that the number of nodes in the hidden layer is 5.With 76 groups of experimental data collected as learning samples,the neural network system was trained,and the N14-5-1 intelligent model for calculating the shear capacity of PSRC beams and SRC beams was established.The shear capacity of six PSRC beams and six SRC beams were calculated by using the intelligent model.The comparison between the calculation results of the standard formula and the test results proves that the intelligent model has a good calculation accuracy and good generalization ability,which has a certain engineering reference significance.The Garson algorithm is used to analyze the sensitivity of input parameters.The results show that the stirrup distance,steel yield strength,stirrup yield strength and steel ratio of section web have more influence on the shear capacity.With the development of the research and experiment,the intelligent model can be further optimized after collecting more representative experimental data to expand the learning sample.关键词
预制装配式型钢混凝土梁/BP人工神经网络/抗剪承载力/智能模型Key words
prefabricated steel reinforced concrete beam/BP artificial neural network/shear capacity/intelligent model分类
建筑与水利引用本文复制引用
刘坚,陈原,童华炜,戚玉亮,杨勤鹏,张专涛,招渝,刘长江,马宏伟,邢增林,周观根,肖海鹏,彭林苗,任达..预制装配式型钢混凝土梁抗剪承载力的智能模型研究[J].建筑钢结构进展,2024,26(3):12-20,9.基金项目
国家自然科学基金(51678168),广东省自然科学基金(2017A030313267),广州市科技计划项目(201607010107),广东省应用型科技研发重大专项资金(2015B020238014),广建装配式建筑成套技术研究(19C00001)-装配式型钢混凝土新型组合结构体系成套技术体系研发(19C00001-2) （51678168）
