基于BP神经网络的水利工程混凝土强度预测与质量控制

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中图分类号：TU528 文献标志码：A 文章编号：2095-2945（2026）08-0169-04

Abstract：Acordingtothenaturethatthestrengthofconcreteinwaterconservancyprojectswillbeafectedbythe combinedactionofvariousfactors，theapplicationofBPneuralnetworkintheestimationofconcretestrengthandqualitycontrol isexplored.Basedonthecaseofalarge-scalewaterconservancyproject，aBPneuralnetworkpredictionmodelisconstructed bycolectingandpre-processingmulti-sourcedata，andthemodelstructuraldesign，trainingoptimization，andverificatioand evaluationprocessareelaborated.Theresearchresultsshowthatthemodelcanacuratelypredictthestrengthofconcrete，and revealstenonlinearefectsofrawmaterials，mixratioconstructiontechnologyandcuringconditionsonthestrength，providing improvement measures for the quality control of concrete in water conservancy projects.

Keywords：BP neural network; hydraulic engineering; concrete strength; quality control; prediction model

水利设施作为国家基础架构建设的关键范畴，其混凝土构造的持久性能和强度确切关联到设施的安全程度与服役时长。（剩余5763字）