利用决策树和支持向量回归方法以及相位粒子群优化算法预测高性能混凝土的坍落度

IF 3 3区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Structural Concrete Pub Date : 2024-08-12 DOI:10.1002/suco.202300450
Qingmei Sun, Yu Gongping
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引用次数: 0

摘要

本研究的重点是利用决策树(DT)和支持向量回归(SVR)模型评估高性能混凝土(HPC)的坍落度特性。第一步,模型仅通过 HPC 样本来再现坍落度。通过将相位粒子群优化(PPSO)与主要模型耦合,混合 DT-PPSO 和 SVR-PPSO 框架准确地模拟了坍落度。利用 DT 的判定相关性和均方根误差(MAE)指标,分别计算出 96.04 和 5.097。SVR 分别为 92.62 和 6.965。在混合方法中,DT-PPSO 在判定相关性和根 MAE 方面分别提高了 3% 和 55%。与其他模型相比,DT-PPSO 看起来是高精度模型;然而,单一 DT 比 SVR 有更理想的结果。总之,本研究的优势在于其方法、比较见解和实用性,为理解和预测 HPC 的机械坍落度做出了宝贵贡献。
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Predicting slump for high‐performance concrete using decision tree and support vector regression approaches coupled with phasor particle swarm optimization algorithm
The main focus of this study is to assess the slump characteristics of high‐performance concrete (HPC) using decision tree (DT) and support vector regression (SVR) models. In the first step, the models were solely fed via HPC samples to reproduce the slump rates. By coupling phasor particle swarm optimization (PPSO) to main models, hybrid DT‐PPSO and SVR‐PPSO frameworks, simulate the slump rates accurately. Using the correlation of determination and root mean square error (MAE) metrics for the DT, 96.04 and 5.097 were computed, respectively. SVR was obtained at 92.62 and 6.965, alternatively. In the hybrid approach, DT‐PPSO could improve by 3% and 55% in terms of correlation of determination and root MAE, respectively. DT‐PPSO appeared high‐accuracy model compared to others; however, a single DT had more desirable results than SVR. Overall, the advantages of this study encompass its methodological approach, comparative insights, and practical relevance, offering valuable contributions to the understanding and prediction of mechanical slump in HPC.
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来源期刊
Structural Concrete
Structural Concrete CONSTRUCTION & BUILDING TECHNOLOGY-ENGINEERING, CIVIL
CiteScore
5.60
自引率
15.60%
发文量
284
审稿时长
3 months
期刊介绍: Structural Concrete, the official journal of the fib, provides conceptual and procedural guidance in the field of concrete construction, and features peer-reviewed papers, keynote research and industry news covering all aspects of the design, construction, performance in service and demolition of concrete structures. Main topics: design, construction, performance in service, conservation (assessment, maintenance, strengthening) and demolition of concrete structures research about the behaviour of concrete structures development of design methods fib Model Code sustainability of concrete structures.
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