东北大学学报(自然科学版) ›› 2004, Vol. 25 ›› Issue (2): 164-166.DOI: -

• 论著 • 上一篇    下一篇

基于BP网络的混凝土抗冻性

程云虹;刘斌   

  1. 东北大学资源与土木工程学院;东北大学资源与土木工程学院 辽宁沈阳 110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2004-02-15 发布日期:2013-06-24
  • 通讯作者: Cheng, Y.-H.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(40072006)

Modeling of concrete frost resistance on BP network basis

Cheng, Yun-Hong (1); Liu, Bin (1)   

  1. (1) Sch. of Resources and Civil Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-02-15 Published:2013-06-24
  • Contact: Cheng, Y.-H.
  • About author:-
  • Supported by:
    -

摘要: 运用改进的BP算法,建立了3 5 2及3 5 1混凝土抗冻性BP网络计算模型·模型(1)(3 5 2)以水灰比、单位水泥用量及砂率为输入,以冻融后混凝土质量损失及冻融后混凝土强度损失为输出;模型(2)(3 5 1)及模型(3)(3 5 1)的输入与模型(1)相同,输出分别为冻融后混凝土质量损失和冻融后混凝土强度损失·计算结果与试验结果符合较好·

关键词: 混凝土, 抗冻性, 质量损失, 强度损失, BP网络, 水灰比, 水泥用量

Abstract: Three computation models of concrete frost resistance are established on basis of optimized BP algorithm, and each of them has an input layer, hidden layer and output layer. The model(1) is named 3-5-2 type in which 3 input neurons, 5 hidden neurons and 2 output neurons are covered. The models(2) and (3) are both named 3-5-1 type in which 3 input neurons, 5 hidden neurons and 1 output neuron are covered. In models(1) the water/cement ratio, unit cement consumption and sand percentage are taken as inputs, with both loss of weight and loss of strength after thawing as outputs. As to models(2) and (3), the inputs are the same to model(1) but the outputs of model(2) and of model(3) are loss of weight and loss of strength after thawing, respectively. The results of the computation conform well to that of tests. All models developed are realized with Visual Basic 6.0. The modeling shows that optimized BP algorithms are very efficient in quantitative analysis of concrete frost resistance.

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