[1]聂彦锋,钱春香.基于RST的混凝土硫酸盐侵蚀评价指标分析及损伤程度预测[J].东南大学学报(自然科学版),2013,43(3):594-598.[doi:10.3969/j.issn.1001-0505.2013.03.027]
 Nie Yanfeng,Qian Chunxiang.Evaluation indices analysis and sulfate attack degree prediction of concrete based on RST[J].Journal of Southeast University (Natural Science Edition),2013,43(3):594-598.[doi:10.3969/j.issn.1001-0505.2013.03.027]
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基于RST的混凝土硫酸盐侵蚀评价指标分析及损伤程度预测()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
43
期数:
2013年第3期
页码:
594-598
栏目:
材料科学与工程
出版日期:
2013-05-20

文章信息/Info

Title:
Evaluation indices analysis and sulfate attack degree prediction of concrete based on RST
作者:
聂彦锋钱春香
东南大学材料科学与工程学院, 南京 211189; 东南大学江苏省土木工程材料重点实验室, 南京 211189
Author(s):
Nie Yanfeng Qian Chunxiang
School of Materials Science and Engineering, Southeast University, Nanjing 211189, China
Jiangsu Key Laboratory on Civil Engineering Materials, Southeast University, Nanjing 211189, China
关键词:
粗糙集理论 硫酸盐侵蚀 评价指标 混凝土
Keywords:
rough set theory sulfate attack evaluation index concrete
分类号:
TU528.01
DOI:
10.3969/j.issn.1001-0505.2013.03.027
摘要:
为了分析混凝土硫酸盐侵蚀评价指标的重要性, 应用粗糙集理论(RST)中的知识约简方法挖掘评价指标.将权重确定问题转化为粗糙集中属性重要性评估问题,建立了关于混凝土硫酸盐侵蚀评价指标重要性的关系数据模型.根据实测结果对各个评价指标的权重进行计算.结果表明,超声波波速和长度变化率的权重系数最大,回弹值次之,质量变化率和侵蚀深度最小.该方法使得混凝土硫酸盐侵蚀评价指标的选取具有客观性,提高了硫酸盐腐蚀程度预测的精度.最后,通过实例证明该方法合理有效,能够预测混凝土硫酸盐侵蚀损伤程度.
Abstract:
In order to analyze the importance of the evaluation indices of concrete under sulfate attack, the knowledge reduction method in rough set theory(RST)is utilized in evaluation indices mining. The problem of weighting coefficient is converted into estimating the significance of attributes in RST, and a relation data model about evaluation indexes analysis of concrete under sulfate attack is established based on RST. The weighting coefficients of evaluation indices are calculated according to measured data. The results show that the weighting coefficients of the ultrasonic pulse velocity and the length changing rate are the highest; that of the rebound value follows; and those of the mass changing rate and the corrosive depth are the least. The proposed approach makes the selection of sulfate attack evaluation indices more objective, improving the precision of deterioration assessment. Finally, an example is given to prove that the approach is effective and it can forecast the damage degree of concrete under sulfate attack.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 聂彦锋(1978—),男,博士生;钱春香(联系人),女,博士,教授,博士生导师, cxqian@seu.edu.cn.
基金项目: 国家重点基础研究发展计划(973计划)资助项目(2009CB623203).
引文格式: 聂彦锋,钱春香.基于RST的混凝土硫酸盐侵蚀评价指标分析及损伤程度预测[J].东南大学学报:自然科学版,2013,43(3):594-598. [doi:10.3969/j.issn.1001-0505.2013.03.027]
更新日期/Last Update: 2013-05-20