基于灰色系统理论的高寒盐沼泽区混凝土耐久性评估

冯忠居; 陈思晓; 徐浩; 姚贤华

doi:10.19818/j.cnki.1671-1637.2018.06.003

基于灰色系统理论的高寒盐沼泽区混凝土耐久性评估

doi: 10.19818/j.cnki.1671-1637.2018.06.003

冯忠居¹,
陈思晓^{1, 2, ,},
徐浩¹,
姚贤华³

1.
长安大学公路学院, 陕西西安 710064
2.
福建省交通建设质量安全监督局, 福建福州 350001
3.
华北水利水电大学土木与交通学院, 河南郑州 450011

基金项目:

青海省交通科技攻关项目 2014-07

海南省交通科技项目 HNZXY2015-045R

详细信息

作者简介:
冯忠居(1965-), 男, 山西万荣人, 长安大学教授, 工学博士, 从事岩土工程研究

通讯作者:
陈思晓(1984-), 男, 福建惠安人, 长安大学工学博士研究生

中图分类号: U443.15
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- 被引次数: 0
出版历程
- 收稿日期: 2018-07-21
- 刊出日期: 2018-12-25

Durability evaluation of concrete in alpine salt marsh area based on gray system theory

1.
School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China
2.
Supervision Bureau of Traffic Construction Quality and Safety of Fujian Province, Fuzhou 350001, Fujian, China
3.
School of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450011, Henan, China

More Information

Author Bio:
FENG Zhong-ju(1965-), male, professor, PhD, ysf@gl.chd.edu.cn

Corresponding author: CHEN Si-xiao(1984-), male, doctoralstudent, csx985@163.com

Article Text (Baidu Translation)

摘要

摘要: 依托青海省德香高速工程, 通过混凝土室内损伤试验, 分析了冻融干湿循环和盐腐蚀耦合作用下混凝土动弹性模量的演化过程与特征; 基于灰色系统理论, 建立了不同工况下混凝土相对动弹性模量GM (1, 1) 预测模型, 预测了2种损伤条件下3种配合比混凝土耐久年限; 依据室内损伤试验与灰色系统理论GM (1, 1) 模型预测结果分析了混凝土的组分, 研究了不同掺合料对混凝土耐久性的影响。研究结果表明: 混凝土耐久性GM (1, 1) 预测模型的相对误差在6%以内, 且后验差比值小于0.35, 小概率误差大于0.95, 预测精度较高; 不同使用环境对混凝土耐久性影响差异较大, 复合盐腐蚀-养护冻融循环的影响程度较复合盐腐蚀-浸泡冻融循环提高了42.8%~46.2%;掺加了粉煤灰、硅灰与膨胀剂的配合比Ⅲ的混凝土耐久性最好, 耐久年限较基准配合比混凝土提高了50%以上, 因此, 为了保证混凝土耐久性, 在类似地区工程实践中, 可参考配合比Ⅲ进行现场混凝土配比设计; 粉煤灰与矿渣同时使用将会生成钙矾石, 相比基准配合比, 不同配合比下混凝土耐久年限降低率均在50%以上, 严重损伤混凝土耐久性。
- 岩土工程 /
- 混凝土 /
- 耐久性 /
- 高寒盐沼泽区 /
- GM(1, 1)模型 /
- 多因素耦合作用 /
- 相对动弹性模量
Abstract: Based on the project of Qinghai Dexiang Highway, the evolution process and characteristics of the concrete's dynamic elastic modulus under the coupling effect of freezingthawing dry-wet cycle and salt corrosion were analyzed through the indoor damage test.Based on the grey system theory, the GM (1, 1) prediction models of the concrete's relative dynamic elastic modulus were established under different conditions, and the durabilities of the concretes with three mix ratios under two damage conditions were predicted by using the prediction models.According to the indoor damage test result and the prediction results of the GM (1, 1) models, thecompositions of the concrete were analyzed, and the influence of different mixtures on the durability of the concrete was studied.Research result shows that the relative errors of the prediction models for the concrete durability are within 6%, the posterior difference ratio is less than 0.35, and the small probability error is more than 0.95. Therefore, the prediction accuracy is higher.The durability of concrete varies greatly under different working conditions, and the effect degree of composite salt corrosion-curing freezing-thawing cycles is 42.8%-46.2% higher than the value of composite salt corrosion-immersion freezing-thawing cycles.The durability of the concrete mix proportion Ⅲ with fly ash, silica fume and expansive agent is the best and 50% higher than the value of standard mix proportion.Therefore, in order to ensure the durability of the concrete, the concrete mix proportion Ⅲ can be used as a reference in site concrete mix proportion design in similar areas.The simultaneous use of fly ash and slag will produce ettringite, which can seriously affect the durability of concrete.Compared with the reference mix ratio, the durability reduction rates of the concrete are more than 50% under different mix proportions.
- geotechnical engineering /
- concrete /
- durability /
- alpine salt marsh area /
- GM (1, 1) model /
- multi-factor coupling effect /
- relative dynamic elastic modulus

HTML全文

图 1 高寒盐沼泽区桥墩腐蚀

Figure 1. Corroded piers in alpine salt marsh area

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图 2 侵蚀溶液中混凝土试件

Figure 2. Concrete specimens immersed in erosion solution

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图 3 快速冻融试验机

Figure 3. Rapid freezing-thawing tester

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图 4 混凝土动弹模测定仪

Figure 4. Tester of concrete dynamic elastic modulus

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图 5 不同工况下混凝土相对动弹性模量

Figure 5. Relative dynamic elastic moduli of concrete under different working conditions

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图 6 不同工况下混凝土耐损坏次数

Figure 6. Damage resistances of concrete under different working conditions

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表 1 室内试验条件

Table 1. Laboratory test conditions

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表 2 C30混凝土配合比

Table 2. Mix proportions of C30concrete

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表 3 混凝土材料参数^[14]

Table 3. Parameters of concrete materials

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表 4 不同工况下混凝土相对动弹性模量实测值与一次累加值

Table 4. Measured values and primary accumulated values of relative dynamic elastic modulus of concrete under different working conditions

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表 5 不同工况下混凝土相对动弹性模量预测模型

Table 5. Prediction models of relative dynamic elastic modulus of concrete under different working conditions

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表 6 模型精度分级

Table 6. Model accuracy classification

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表 7 不同工况下混凝土相对动弹性模量预测模型精度参数

Table 7. Precision parameters of prediction models of relative dynamic elastic modulus of concrete under different working conditions

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表 8 复合盐腐蚀-养护冻融条件下混凝土相对动弹性模量预测结果

Table 8. Prediction results of relative dynamic elastic modulus of concrete under composite salt corrosion and curing freezing-thawing condition

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表 9 复合盐腐蚀-浸泡冻融条件下混凝土相对动弹性模量预测结果

Table 9. Prediction results of relative dynamic elastic modulus of concrete under composite salt corrosion and immersion freezing-thawing condition

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表 10 0不同工况下混凝土相对动弹性模量预测结果

Table 10. Prediction results of relative dynamic elastic modulus of concrete under different working conditions

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表 11 1不同工况下混凝土耐久年限预测结果

Table 11. Prediction results of durability of concrete under different working conditions

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