Optimization Method of Comprehensive Properties of Low Heat Cement Cementitious System Based on Projection Pursuit Regression

被引：0
|
作者：
Jiang C. [1 ]
Gong J. [1 ]
Tang X. [1 ]
Jiang L. [2 ]
Zheng Z. [3 ]
机构：
[1] College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi
[2] College of Mechanics and Materials, Hohai University, Nanjing
[3] College of Water Resources and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou
来源：
Jianzhu Cailiao Xuebao/Journal of Building Materials | 2019年 / 22卷 / 03期
关键词：
Accuracy discrimination criterion; Comprehensive performance optimization; Low heat cement cementitious system; Projection pursuit regression(PPR); Sample selection criterion;
D O I：
10.3969/j.issn.1007-9629.2019.03.002
中图分类号：
学科分类号：
摘要：
Taking low heat cement cementitious system as research object, the effect of types and content of mineral admixture on it's compressive strength and hydration heat was studied. A prediction model of mechanical and thermal properties of low heat cement cementitious system based on projection pursuit regression(PPR) was proposed, accuracy discrimination criterion was summarized, and the sample selection criteria of PPR was established. Through simulation calculation and comprehensive performance contour map, comprehensive performance optimization of cementitious material system could be transformed into the optimization of its mechanical and thermal single target properties. The comprehensive performance optimization method based on PPR model could directly determine the mechanical and thermal index and their mix proportion without subjective weighting and assumed modeling, which provides guidance for the application of low heat cement cementitious system in large volume concrete. © 2019, Editorial Department of Journal of Building Materials. All right reserved.
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页码：333 / 340
页数：7
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