基于FAHP模型的C50花岗岩混凝土配合比评价与优选

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发布时间：2020-01-06 00:00:00

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基于FAHP模型的C50花岗岩混凝土配合比评价与优选

Evaluation and optimization of C50 granite concrete mix proportions based on FAHP model

2024年第6期

模糊层次分析法；C50花岗岩混凝土；最优配合比；评价指标

Fuzzy analytic hierarchy process; C50 granite concrete; Optimal mix proportion; Evaluation index

2024年第6期

10.19761/j.1000-4637.2024.06.006.06

中交一公局集团有限公司科技研发项目（143010100）。

吕韶全

安徽交通控股集团有限公司，安徽合肥 230088

吕韶全

吕韶全.基于FAHP模型的C50花岗岩混凝土配合比评价与优选[J].混凝土与水泥制品,2024(6):6-11.

LYU S Q.Evaluation and optimization of C50 granite concrete mix proportions based on FAHP model[J].China Concrete and Cement Products,2024(6):6-11.

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1000

摘要：通过模糊层次分析法（FAHP）确定了花岗岩混凝土最优配合比为总目标，准则层影响因素包括制作成本B1、性能B2、生产效益B3；指标层影响因素包括人工成本C1、机械设备成本C2、原材料成本C3、7 d抗压强度C4、28 d抗压强度C5、坍落度C6、扩展度C7、经济效益C8、环境效益C9，并对试验组配合比进行了评价，建立了模糊一致性矩阵，最终得到了模糊综合评价结果。该模型可相对客观地选择花岗岩混凝土的最优配合比。 Abstract: The fuzzy analytic hierarchy process(FAHP) was used to determine the optimal mix proportion of granite concrete as the overall objective, with the influencing factors of the criterion layer including production cost B1, performance B2, and production efficiency B3. The influencing factors of the indicator layer included labor cost C1, mechanical equipment cost C2, raw material cost C3, 7 d compressive strength C4, 28 d compressive strength C5, slump C6, expansion C7, economic benefit C8, and environmental benefit C9. The experimental group mix proportions were evaluated, and a fuzzy consistency matrix was established, and the final fuzzy comprehensive evaluation result was obtained. This model can objectively select the optimal mix proportion of granite concrete.

英文名 : Evaluation and optimization of C50 granite concrete mix proportions based on FAHP model

刊期 : 2024年第6期

关键词 : 模糊层次分析法；C50花岗岩混凝土；最优配合比；评价指标

Key words : Fuzzy analytic hierarchy process; C50 granite concrete; Optimal mix proportion; Evaluation index

刊期 : 2024年第6期

DOI : 10.19761/j.1000-4637.2024.06.006.06

文章编号 :

基金项目 : 中交一公局集团有限公司科技研发项目（143010100）。

作者 : 吕韶全

单位 : 安徽交通控股集团有限公司，安徽合肥 230088

吕韶全

吕韶全.基于FAHP模型的C50花岗岩混凝土配合比评价与优选[J].混凝土与水泥制品,2024(6):6-11.

LYU S Q.Evaluation and optimization of C50 granite concrete mix proportions based on FAHP model[J].China Concrete and Cement Products,2024(6):6-11.

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摘要

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结论

参考文献

引用本文

Abstract: The fuzzy analytic hierarchy process(FAHP) was used to determine the optimal mix proportion of granite concrete as the overall objective, with the influencing factors of the criterion layer including production cost B1, performance B2, and production efficiency B3. The influencing factors of the indicator layer included labor cost C1, mechanical equipment cost C2, raw material cost C3, 7 d compressive strength C4, 28 d compressive strength C5, slump C6, expansion C7, economic benefit C8, and environmental benefit C9. The experimental group mix proportions were evaluated, and a fuzzy consistency matrix was established, and the final fuzzy comprehensive evaluation result was obtained. This model can objectively select the optimal mix proportion of granite concrete.

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基于FAHP模型的C50花岗岩混凝土配合比评价与优选

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