科技创新与应用2026，Vol.16Issue(8)：169-172,4.DOI:10.19981/j.CN23-1581/G3.2026.08.039
基于BP神经网络的水利工程混凝土强度预测与质量控制
马秀敏 1潘婷婷 1张海亮1
作者信息
- 1. 江苏水工建设集团有限公司,江苏 南通 226100
- 折叠
摘要
Abstract
According to the nature that the strength of concrete in water conservancy projects will be affected by the combined action of various factors,the application of BP neural network in the estimation of concrete strength and quality control is explored.Based on the case of a large-scale water conservancy project,a BP neural network prediction model is constructed by collecting and pre-processing multi-source data,and the model structural design,training optimization,and verification and evaluation process are elaborated.The research results show that the model can accurately predict the strength of concrete,and reveals the nonlinear effects of raw materials,mix ratio,construction technology and curing conditions on the strength,providing improvement measures for the quality control of concrete in water conservancy projects.关键词
BP神经网络/水利工程/混凝土强度/质量控制/预测模型Key words
BP neural network/hydraulic engineering/concrete strength/quality control/prediction model分类
建筑与水利引用本文复制引用
马秀敏,潘婷婷,张海亮..基于BP神经网络的水利工程混凝土强度预测与质量控制[J].科技创新与应用,2026,16(8):169-172,4.
